How the Internet of Things (IoT) is used in modern AI applications

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Artificial intelligence (AI) has already made headway into becoming a general-purpose technology vastly impacting economies. Yet, the interpretation and estimated trajectory for something remotely close to what we call AI now was first explored in the 1950s.

Until this very day, AI keeps on evolving further. Though let’s face it, AI would have been useless without data. With around 2.5 quintillion bytes of data being generated every day, the numbers will shoot up as the Internet of Things (IoT) enters the game.

Let’s see what this is all about and where and how exactly IoT crosses paths with AI applications.
  • IoT fundamentals: Where does IoT meet AI
  • The benefits of IoT in AI
  • Challenges of IoT in AI
  • Why implement machine learning in IoT
  • IoT applications for AI
  • Key takeaways

IoT fundamentals: Where does IoT meet AI?
What is meant by the term internet of things (IoT) is essentially a system of correlated digital and mechanical appliances, computing devices, and sensors embedded often into everyday objects that transfer data over a network. IoT connects the internet to any and every physical thing or place in the world.

Modern IoT has advanced from the mere merging of microelectromechanical systems to wireless technologies, and faster data transfer through the internet. This resulted in a confluence of information technology and artificial intelligence, allowing unstructured machine-generated data to be evaluated for insights that could lead to new developments.

More and more industries are now referring to IoT to function more proficiently, provide better customer service, escalate the significance of their business, and implement robust decision-making.

Machine learning for IoT can be used to identify anomalies, predict emerging trends, and expand intelligence through the consumption of audio, videos, and images. The implication of machine learning in IoT can substitute manual processes and offer automated systems using statistically backed up actions in critical processes.

The benefits of IoT in AI and real life
IoT offers the following benefits to AI applications:
  • IoT data for business purposes
  • Cost and time savings
  • Task automation and reduction of human intervention
  • Higher quality of life

IoT data for business purposes
IoT can also be viewed as a data pool. That means by aggregating IoT data, one can extract useful data-driven feedback, which in turn (used properly) may foster effective decision-making. Businesses can also identify new market opportunities, not because of IoT itself but by using the data IoT provides. And since IoT offers companies access to more data, and hence advanced analytics of that data, its usage can eventually result in improved customer outcomes and enhanced service delivery.

Cost and time savings
When devices get connected, cost reductions come along with it. The gathering of different data allows for advances in efficiency, and it leads to money surplus and low-cost materials.

Task automation and reduction of human intervention
Nowadays, devices that are internet-connected can be found in every aspect of our lives, and it is safe to say that they make tasks easier. These automation features range from real-time AI-powered chatbots to home automation control systems, and all of it usually takes a click of a button.

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Higher quality of life
IoT is not only beneficial in the business aspects but it also creates better living circumstances for us. Smart cities and agriculture, intelligent homes, and food waste solutions are some of the most common ways of IoT providing better, more sustainable living conditions for people.

Challenges of IoT in AI
Despite the numerous benefits and advancements that IoT brings to the table, there have been a few limitations with it. Some of them are listed below:
  • Privacy issues
  • Data overflow
  • Bug issues
  • Compatibility issues

Privacy issues

With the increased connection between multiple devices or their coexistence for model development purposes, more information is shared between them, which poses vulnerability to your data and makes room for caution. Added layers of protection are needed to prevent risks of data leaks and other threats.

Data overflow
Eventually, organizations will have to find a way to deal with the large numbers of IoT devices, and that will include the collection and systematic management of all the data from those IoT devices. The proper use of data lakes and warehouses, close governance, and intuitive arrangement of datasets will become an utmost priority.

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Bug issues
If one IoT device has a bug in its system, there is a large chance that every other connected device will also have it.

Compatibility issues
Because there are no international standards of compatibility for IoT, it's harder for different devices to communicate with one another.

Why implement machine learning in IoT
More and more companies are combining IoT with machine learning projects so they can achieve analytical skills on a large variety of use cases which allows their businesses to have access to fresh insights and adopt innovative automation. By implementing machine learning for IoT, they can leverage the following:
  • Convert data into a coherent format
  • Arrange the machine learning model on device, edge, and cloud
  • Enable use of data on edge devices directly for complex decision making

IoT applications for AI
Although we have covered the basics of IoT, its implications for AI are not as simple. Many corporations are adopting IoT which allows them to have an advanced approach to growing and advancing their business. Novel IoT applications are offering organizations the ability to plan and implement more vigorous risk management strategies. Some of the more common uses of IoT in AI encompass the following:

Transport logistics
Not only does IoT expand the material flow systems in transport logistics, but it also improves the automatic identification and global positioning of freight. It also increases energy efficiency and consequently declines the consumption of energy.

Smart cities
Although the term smart city is still incomplete, it mainly refers to an urban area that endorses sustainable enlargement and high quality of life. Giffinger et al.’s model explains the features of a smart city, including the people, the government, the economy, and lifestyle.


E-health control
The two main objectives of future health care are e-health control and prevention. People nowadays can choose to be monitored by physicians even if they do not live in the same country or place. Tracing and monitoring peoples’ health history makes IoT-assisted e-health extremely useful. IoT healthcare solutions could also benefit the specialists, as they can collect information to advance their medical calculations.

Key takeaways
Ever since its development, IoT, especially AI-enabled IoT, as discussed, has been enhancing our daily lives and directing us to work smarter while having complete control over the process. Besides having smart appliances to elevate homes, IoT devices can also be essential for providing insights and an actual look for businesses into their systems. Heading forward, IoT will continue to develop as more organizations get to understand its potential usage and tangible benefits.

Spotlight

Parallel Wireless

Parallel Wireless is reimagining the wireless infrastructure market, enabling carriers to deploy any G cellular networks as easy and as cost-effective as enterprise Wi-Fi whether for rural, enterprise, public safety, M2M, Smart Cities, or dense urban. Currently, the company is in production deployment or in trials with major leading operators on six continents.

OTHER ARTICLES
Enterprise Iot

Top Technologies in IoT Network Security for Network Resilience

Article | July 19, 2022

Building resilient IoT networks: Exploring the top technologies for enhancing IoT security and protecting as well as safeguarding against evolving cyber threats in the interconnected era of Industry 4.0. Contents 1. What is Network Resilience and Why is it Needed? 1.1 Continuous Operation 1.2 Mitigating Security Threats 1.3 Data Protection 1.4 System Availability 1.5 Risk Management 1.6 Regulatory Compliance 2. Factors to Consider for Network Resilience 3. Top Trends in IoT Security 3.1 Zero Trust and AI 3.2 Supply Chain Security 3.3 Network Segmentation and Segregation 3.4 Over-the-Air (OTA) Updates 3.5 Device Authentication and Authorization 3.6 Software-defined Networking (SDN) Security 3.7 Identity and Access Management (IAM) 4. Conclusion 1. What is Network Resilience and Why is it Needed? Network resilience refers to the ability of an IoT network to withstand and recover from disruptions, attacks, or failures while maintaining its essential functions. It involves implementing measures to ensure the network remains available, reliable, and secure, even during security threats or unexpected events. Ensuring network resilience is a critical aspect of IoT network security. Network resilience refers to the ability of an IoT network to withstand and recover from disruptions, attacks, or failures while maintaining its essential functions. Ensuring network resilience in IoT network security is crucial for the following reasons: 1.1 Continuous Operation IoT networks often support critical applications and services that require uninterrupted operation. Network resilience ensures that these applications can continue functioning even during disruptions, such as network failures or security incidents. It minimizes downtime and ensures business continuity. 1.2 Mitigating Security Threats IoT networks are susceptible to various cybersecurity threats, including malware, unauthorized access, or Distributed Denial of Service (DDoS) attacks. Network resilience measures help mitigate these threats by implementing security controls, monitoring network traffic, and enabling prompt detection and response to security incidents. 1.3 Data Protection IoT devices generate and transmit vast amounts of sensitive data. Network resilience safeguards data integrity, confidentiality, and availability by implementing secure communication protocols, encryption mechanisms, and access controls. It ensures that data remains protected even during network disruptions or security breaches. 1.4 System Availability IoT systems often rely on real-time data processing and communication. Network resilience ensures that data flows seamlessly, allowing IoT devices to exchange information and execute tasks without interruptions. It supports critical functions such as monitoring, control, and decision-making processes. 1.5 Risk Management Building network resilience helps organizations effectively manage risks associated with IoT deployments. By identifying vulnerabilities, implementing protective measures, and having response plans in place, organizations can minimize the impact of security incidents, reduce financial losses, and maintain the trust of stakeholders. 1.6 Regulatory Compliance Many industries have specific regulations and standards governing the security and resilience of IoT networks. By ensuring network resilience, organizations can demonstrate compliance with these requirements, avoiding penalties, legal issues, and reputational damage. 2. Factors to Consider for Network Resilience Implementing redundancy and failover mechanisms within the network infrastructure helps mitigate the impact of single points of failure. This involves deploying backup systems, redundant network paths, and failover mechanisms to ensure continuous operation despite a failure or attack. Traffic Monitoring and Anomaly Detection for Continuous network traffic monitoring helps identify abnormal patterns or behaviours that may indicate security threats or attacks. By leveraging intrusion detection and prevention systems (IDPS) and traffic analysis tools, organizations can promptly detect and respond to network anomalies, safeguarding network resilience. Moreover, segmentation and Isolation: Dividing the IoT network into segments or zones and isolating critical devices or systems from less secure ones enhances network resilience. Implementing proper network segmentation, VLANs (Virtual Local Area Networks), or software-defined networking (SDN) enables effective control, containment, and mitigation of security incidents. DDoS attacks significantly threaten network resilience by overwhelming the network's resources and causing service disruption. Deploying robust DDoS protection measures, such as traffic filtering, rate limiting, and traffic diversion, helps mitigate the impact of such attacks and ensures network availability. Incident Response and Establishing comprehensive incident response and recovery plans specific to IoT network security incidents is crucial. These plans should outline clear procedures, roles, and responsibilities to efficiently respond to and recover from security breaches or disruptions, minimizing downtime and maintaining network resilience. In addition, regular penetration testing, vulnerability assessments, and network audits help identify weaknesses and vulnerabilities in the IoT network infrastructure. Promptly addressing these issues through patches, updates, and security configuration adjustments strengthens network resilience by proactively addressing potential security risks. By implementing these measures, organizations can enhance the resilience of their IoT networks, ensuring continuous operation, prompt threat detection, and effective response to security incidents. Network resilience plays a vital role in maintaining IoT systems' integrity, availability, and reliability in the face of evolving security challenges. 3. Top Trends in IoT Security 3.1 Zero Trust and AI Zero Trust is an emerging security concept that assumes no implicit trust towards devices or users, even if they are already inside the network perimeter. Implementing Zero Trust principles in IoT networks can help mitigate the risks associated with compromised devices and unauthorized access for IoT security. In order to bolster cybersecurity measures, adopting a zero trust approach. Effectively addressing cybersecurity challenges entails not merely technological solutions but a comprehensive organizational strategy rooted in cultural and policy frameworks. Emphasizing the zero trust concept underscores the importance of policy implementation throughout the entire organization, complementing technological measures. 3.2 Supply Chain Security The complex and interconnected nature of IoT supply chains introduces security risks. The supply chain for IoT devices involves multiple stages, including device manufacturing, software development, distribution, and deployment. Each stage presents potential security risks that can compromise the integrity and security of the IoT network. This includes adopting secure supply chain management practices, such as verifying the security practices of suppliers and manufacturers, and establishing clear security requirements and standards for the entire supply chain. Conducting third-party risk assessments helps evaluate the security posture of suppliers and vendors to identify any potential vulnerabilities or weaknesses. 3.3 Network Segmentation and Segregation In IoT security, minimizing the potential impact of a compromised IoT device is crucial, and network segmentation and segregation play a vital role in achieving this goal. Network segmentation involves dividing the network into separate zones or segments, based on factors such as device type, functionality, or security requirements. The containment strategy helps minimize the impact of a security breach by isolating compromised devices and preventing lateral movement within the network. 3.4 Over-the-Air (OTA) Updates Software updates play a critical role in maintaining the integrity and security of IoT devices. IoT devices frequently require updates to address software bugs, patch vulnerabilities, or introduce new features. Over-the-Air (OTA) update mechanisms are being enhanced with robust security measures to ensure the secure delivery and installation of updates. Code signing is a prevalent practice where updates are digitally signed with cryptographic keys to verify the authenticity and integrity of the software. Secure boot is another important mechanism that establishes a chain of trust during the device boot-up process, ensuring that only authorized and tamper-free software is loaded onto the device. 3.5 Device Authentication and Authorization The increasing number of IoT devices poses a significant challenge in ensuring secure and trusted authentication and authorization. Two-factor authentication (2FA), for example, adds an extra layer of protection by requiring users or devices to provide two separate forms of authentication, such as a password and a unique code sent to a mobile device. Digital certificates, on the other hand, enable secure and trusted device authentication by leveraging public key infrastructure (PKI) technology. Each IoT device is issued a unique digital certificate, which serves as a digital identity, allowing for secure communication and verification of device authenticity. 3.6 Software-defined Networking (SDN) Security Securing Software-defined Networking (SDN) environments is paramount to protect IoT deployments. SDN offers centralized control and management of network resources, providing flexibility and scalability. This ensures that only authorized entities can access and make changes to the SDN infrastructure, preventing unauthorized access and configuration changes. Additionally, continuous traffic monitoring and analysis enable the detection of suspicious activities and potential security breaches. Encryption IoT standards and protocols should be employed to secure communication between the SDN controller, switches, and IoT devices, safeguarding data privacy and integrity. Network segmentation within the SDN environment helps limit the impact of security breaches, reducing the attack surface. 3.7 Identity and Access Management (IAM) Implementing IAM solutions, such as role-based access control (RBAC) and multi-factor authentication (MFA), within IoT networks significantly enhances network security. IAM ensures that only authorized individuals can access and interact with IoT devices and systems. RBAC enables administrators to assign specific access privileges based on user roles and responsibilities, reducing the risk of unauthorized access. Additionally, incorporating MFA adds an extra layer of security by requiring users to provide multiple forms of authentication, such as a password and a unique token or biometric verification. This significantly reduces the risk of unauthorized access even if a user's credentials are compromised. 4. Conclusion The technologies discussed in this article play a crucial role in enhancing IoT network security and resilience. By leveraging these technologies, organizations can mitigate the risks associated with IoT deployments, protect against cyber threats, and ensure the reliability and continuity of their IoT networks. As the IoT landscape evolves, staying up-to-date with these top technologies will be essential for organizations to maintain a robust and secure IoT infrastructure. The transformative landscape of Industry 4.0 demands strong network security in IoT environments. The top technologies discussed in this article empower organizations to enhance network resilience, protect against cyber threats, and ensure the uninterrupted functioning of IoT networks. Embracing these technologies and staying ahead of emerging threats, helps organizations build a secure foundation for their IoT deployments and capitalize on the vast opportunities offered by the IoT ecosystem.

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Enterprise Iot

The IoT Smarthome Battlefield: A Jointly Endorsed IoT Standard for the Home Area Network

Article | August 10, 2022

Google announced that together with Amazon and Apple (the big 3 smart home players) they will work on the adoption of a joint wireless IoT standard for the smart home. This new connectivity standard is designed to make it easier for smart home products to work with each other.In the statement, Google said they were “joining Amazon, Apple and others to create Connected Home over IP, a new independent working group managed by the Zigbee Alliance (separate from the existing Zigbee 3.0/Pro protocol). We’re contributing two of our market-tested and open-source smart home technologies, Weave and Thread. Both are built on IP and have been integrated into millions of homes around the world.”

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Enterprise Iot

Smart Home Technologies: Zigbee, Z-Wave, Thread, and Dotdot

Article | July 11, 2022

If you own smart home products like SmartThings or Nest, you may be familiar with some of the technologies behind them. Network protocols like Zigbee and Z-Wave dominate the industry, while Thread, a younger network standard, is gaining headway as a strong contender in the battle for market share. Although this may seem like your typical rivalry between industry leaders, the competitive landscape is more complicated than selecting one over another.

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12 Industrial IoT Companies You Should Know

Article | February 10, 2020

As the industrial IoT market continues to expand at rapid rates, companies across the world are reaping the benefits. Utilizing this growing network of tools and systems, businesses have been able to prevent costly downtime, decrease product development costs, enhance customer engagement and satisfaction and acquire and implement intelligent data for strategic planning purposes.The potential benefits are seemingly endless, and the list of organizations that are embracing this industrial revolution is continuing to grow, so let’s highlight some of the main IIoT companies you need to know for a number of the most common IIoT use cases.

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Spotlight

Parallel Wireless

Parallel Wireless is reimagining the wireless infrastructure market, enabling carriers to deploy any G cellular networks as easy and as cost-effective as enterprise Wi-Fi whether for rural, enterprise, public safety, M2M, Smart Cities, or dense urban. Currently, the company is in production deployment or in trials with major leading operators on six continents.

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Industrial IoT

Comcast and Broadcom to Develop the World’s First AI-Powered Access Network With Pioneering New Chipset

Business Wire | October 23, 2023

Comcast and Broadcom today announced joint efforts to develop the world’s first AI-powered access network with a new chipset that embeds artificial intelligence (AI) and machine learning (ML) within the nodes, amps and modems that comprise the last few miles of Comcast’s network. With these new capabilities broadly deployed throughout the network, Comcast will be able to transform its operations by automating more network functions and deliver an improved customer experience through better and more actionable intelligence. Additionally, the new chipset will be the first in the world to incorporate DOCSIS 4.0 Full Duplex (FDX), Extended Spectrum (ESD) and the ability to run both simultaneously, enabling Internet service providers across the globe to deliver DOCSIS 4.0 services using a toolkit with technology options to meet their business needs. DOCSIS 4.0 is the next-generation network technology that will introduce symmetrical multi-gigabit Internet speeds, lower latency, and even better security and reliability to hundreds of millions of people and businesses over their existing connections without the need for major construction of new network infrastructure. On October 12, Comcast announced that it will begin to introduce the first customers in the world to Internet services powered by DOCSIS 4.0 using FDX. While the company will continue to leverage FDX, the collaboration with Broadcom will provide Comcast and other operators with additional options in the pursuit of delivering the best possible connectivity experience. The Xfinity 10G Network leverages the latest advancements in edge compute, digital optics and real-time, actionable telemetry to meet and exceed our customers’ constantly evolving connectivity needs, said Elad Nafshi, Chief Network Officer, Comcast Cable. With this new Unified DOCSIS4 chipset from Broadcom, we can broadly deploy transformational AI network capabilities alongside symmetrical multi-gig speeds. FDX is the best technology for Comcast, but this groundbreaking unified chipset will provide the entire industry with options when upgrading their nodes, amps, and cable modems for DOCSIS 4.0. The new end-to-end chipsets will be the industry’s first to incorporate AI and ML capabilities that will transform the operations and customer experience functions by: Making smarter network performance decisions using network diagnostics insights produced by both local and cloud AI. Enhanced monitoring and issue detection using bandwidth-efficient telemetry data. Transforming network maintenance of the network using real time issue localization plus predictive and self-healing network intelligence. Protecting network facilities and customers with improved cybersecurity intrusion detection. Assisting customers more effectively through local and cloud-based AI. Monitoring home IoT devices for connectivity disruptions. All these capabilities, and more, are achieved while reducing network latency and insulating customer data to ensure the utmost privacy standards. “By enabling a toolkit that includes FDX, ESD or both simultaneously, this new Unified DOCSIS4 chipset incorporates the advantages of both technologies and will enable economies of scale as well as a common retail modem for the industry,” said Rich Nelson, Senior Vice President and General Manager, Broadband Video Group, Broadcom. “The edge network and in-home capabilities of this chipset will improve network intelligence and reliability to create an improved broadband experience with enhanced privacy protection and cyber security for the consumer.” Comcast and Broadcom are designing and building the new chipset based upon CableLabs’ DOCSIS 4.0 specifications. The companies have a history of working together to introduce innovations that have pushed the industry to the next generation of connectivity. In 2021, Comcast conducted the world’s first full duplex multi-gigabit symmetrical test on Broadcom-built silicon. In January 2022 the companies tested the first Full Duplex DOCSIS 4.0 system-on-chip (SoC) cable modem that delivered symmetrical speeds faster than 4 Gbps. Later that year, Comcast successfully tested the final technical component of necessary to deliver multi-gig symmetrical speed powered by DOCSIS 4.0 throughout its network with 10G smart amps built on a Broadcom-developed reference design. The companies expect to begin trials early in 2024 and to begin deploying the new chipset in live networks before the end of the same year.

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Platforms

Quectel Expands Its IoT Antenna Portfolio With Six New 4G and 5G Antennas

Business Wire | October 26, 2023

Quectel, a global IoT solutions provider, has unveiled six new antennas designed to provide robust connectivity performance for IoT devices. The new antennas cover a wide range of use cases from 5G to non-terrestrial networks (NTNs) bringing new capabilities to customers. We’re delighted to further augment our comprehensive range of antennas with the addition of these new antennas and evaluation boards, said Norbert Muhrer, President and CSO, Quectel Wireless Solutions. “Internet of Things applications increasingly demand high-performance antennas that meet their specific needs whether that’s for competitive cost, access to specific network technologies in particular frequency bands or for robust, safe characteristics such as IP ratings and RoHS and REACH compliance. The expanded Quectel antenna range is sure to meet the needs of your device and deployment and is backed by our design support and deployment experience, alongside, of course, our widely deployed and comprehensive range of modules.” The Quectel YC0001CA is a 4G surface-mount design (SMD) antenna that is optimized for LTE, LTE-M and Narrow Band-IoT (NB-IoT) networks. This low-profile antenna, which measures just 35.0 x 8.5 x 3.0mm, operates in the 700-960MHz and 1710-2700MHz and is both RoHS and REACH compliant for use in sensitive environments. In addition, the antenna can be supplied on tape and reel for high-volume applications and is compatible with all of Quectel’s 4G, 3G, 2G and LPWA IoT modules. The Quectel YC0018CA is a 5G SMD antenna that covers 5G New Radio (NR) Sub-6GHz frequency bands. Depending on the ground plane, the antenna is designed to be mounted directly to the printed circuit board (PCB) using a conventional PCB reflow process. Measuring 40.0 x 7.0 x 3.0mm, the antenna operates between -40 °C to +85 °C and weighs 15g. The antenna can be tuned specifically for the final device environment with a simple, PI matching circuit and, when used with other 5G antennas, it can achieve multiple input, multiple output (MIMO) performance. Also available on tape and reel, the antenna can also be supplied with the YC0018CAEVB evaluation board. The Quectel YECN028AA is a 5G or NTN external antenna that supports the 410-470MHz, 617-960MHz and 1425-6000MHz frequency bands. With dimensions of 225 x 54.5 x 13.0mm, the antenna is IP66, RoHS and REACH compliant so it has wide applicability to use cases in sensitive environments. Featuring high efficiency and gain, the antenna offers omni-directional high-speed data transmission and can be used in a wide range of wireless devices such as access points, outdoor equipment, real-time monitoring devices and many others. The Quectel YEMX223J1A is a 5G x 2 combo antenna that is IP67, RoHS and REACH compliant. Measuring 186.0 x 176.0 x 100.5mm, the combo antenna supports the 410-470MHz, 617-960MHz, 1420-1520MHz, 1710-2690MHz, 3300-3800MHz and 4000-6000MHz frequency bands. The ultra-wideband antenna box is also backward compatible supporting 2G and 3G networks as well as Cat-M and NB-IoT. Designed for ease of integration with connection via two cable lengths from 450-5000mm, the pole, wall suction mount omni-directional antenna offers ease of installation and durability thanks to its IP67 and IP69K compliant enclosure. Quectel offers flexible installation option with custom cable length and connector options The Quectel YEMX425J1A is a 5G x 4 combo antenna that measures 186.0 x 176.0 x 150mm. The combo antenna supports the 410-470MHz, 617-2690 MHZ and 3300-6000MHz frequency bands and both RoHS and REACH compliant. Offering backward compatibility with 2G, 3G, Cat-M and NB-IoT, the antenna is, in common with the YEMX223J1A, compatible with Quectel’s RM520x Series of IoT modules. In addition, durability is assured thanks to the combo antenna’s IP67 and IP69K ASA enclosure. Rounding out the latest wave of Quectel antenna introductions, the Quectel YSIS001AA, metal spring antenna operates in the 412-427MHz band, the 433-435 MHz band and the 450-470MHz band which is compatible with LTE B31 plus EU433 applications. Measuring 29.0 x 7.0 x 7.90mm, the RoHS and REACH compliant antenna is mounted to the host device PCB using the conventional SMD reflow process, offering high efficiency. In common with all Quectel antennas, these new additions to the range also gain Quectel’s comprehensive antenna design support including simulation, testing and manufacturing for custom antenna solutions to meet customers’ specific application needs. About Quectel Quectel’s passion for a smarter world drives us to accelerate IoT innovation. A highly customer-centric organization, we are a global IoT solutions provider backed by outstanding support and services. Our growing global team of 5,900 professionals sets the pace for innovation in cellular, GNSS, Wi-Fi and Bluetooth modules as well as antennas and services. With regional offices and support across the globe, our international leadership is devoted to advancing IoT and helping build a smarter world.

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Enterprise Iot

Nokia, BT Group and MediaTek trial 5G RedCap technology to accelerate the Internet of Things

MarketScreener | October 18, 2023

Nokia, together with BT Group and MediaTek today announced that they have successfully completed trials of 5G Reduced Capability (RedCap) technology with RedCap devices. The trial, which took place at BT Group's Adastral Park site, utilized Nokia's AirScale RAN portfolio, EE's 5G Standalone (SA) network, and MediaTek's RedCap testing platform. RedCap is a technology introduced in 3GPP Release 17 that brings 5G to devices that do not require its full capabilities. It has the potential to expand the IoT ecosystem and accelerate its deployment within the industry. BT Group is evaluating RedCap to support new 5G use cases which could benefit both EE's business and consumer customer bases. 5G devices such as smartphones often have complex hardware and power-hungry features which leads to higher cost, size, and power consumption. RedCap technology focuses on simplifying 5G devices, particularly small IoT devices such as wearables or health trackers for consumers as well as ruggedized routers, and environmental or other condition-based monitoring sensors. These devices have less demand for battery life and lower bandwidth requirements. RedCap ensures they maintain performance and optimizes their power efficiency. Nokia has played a pivotal role in advancing RedCap IoT functionality together with the telecommunications industry. Greg McCall, Chief Networks Officer at BT Group said: 'This trial with Nokia demonstrates the potential of RedCap technology in unlocking a new wave of innovation within the 5G services ecosystem. This is especially the case as we move towards the arrival of 5G SA, bringing with it enhanced reliability, responsiveness, security, and speed which - through 5G RedCap - promises to benefit a host of new IoT devices and use cases.' Robert Moffat, Deputy Director Europe Mobile Business Development at MediaTek, said: 'Our collaboration with Nokia and BT Group for this trial of 5G RedCap technology aligns with MediaTek's commitment to driving innovation and expanding the potential of 5G SA to include a wider ecosystem of devices and use cases.' Phil Siveter, CEO, UK and Ireland at Nokia, commented: 'The introduction of RedCap will unlock new 5G opportunities for many industries, with potentially billions of new devices connected with 5G. Our field tests with BT Group show that Nokia 5G Standalone networks are ready to support RedCap devices.'

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Industrial IoT

Comcast and Broadcom to Develop the World’s First AI-Powered Access Network With Pioneering New Chipset

Business Wire | October 23, 2023

Comcast and Broadcom today announced joint efforts to develop the world’s first AI-powered access network with a new chipset that embeds artificial intelligence (AI) and machine learning (ML) within the nodes, amps and modems that comprise the last few miles of Comcast’s network. With these new capabilities broadly deployed throughout the network, Comcast will be able to transform its operations by automating more network functions and deliver an improved customer experience through better and more actionable intelligence. Additionally, the new chipset will be the first in the world to incorporate DOCSIS 4.0 Full Duplex (FDX), Extended Spectrum (ESD) and the ability to run both simultaneously, enabling Internet service providers across the globe to deliver DOCSIS 4.0 services using a toolkit with technology options to meet their business needs. DOCSIS 4.0 is the next-generation network technology that will introduce symmetrical multi-gigabit Internet speeds, lower latency, and even better security and reliability to hundreds of millions of people and businesses over their existing connections without the need for major construction of new network infrastructure. On October 12, Comcast announced that it will begin to introduce the first customers in the world to Internet services powered by DOCSIS 4.0 using FDX. While the company will continue to leverage FDX, the collaboration with Broadcom will provide Comcast and other operators with additional options in the pursuit of delivering the best possible connectivity experience. The Xfinity 10G Network leverages the latest advancements in edge compute, digital optics and real-time, actionable telemetry to meet and exceed our customers’ constantly evolving connectivity needs, said Elad Nafshi, Chief Network Officer, Comcast Cable. With this new Unified DOCSIS4 chipset from Broadcom, we can broadly deploy transformational AI network capabilities alongside symmetrical multi-gig speeds. FDX is the best technology for Comcast, but this groundbreaking unified chipset will provide the entire industry with options when upgrading their nodes, amps, and cable modems for DOCSIS 4.0. The new end-to-end chipsets will be the industry’s first to incorporate AI and ML capabilities that will transform the operations and customer experience functions by: Making smarter network performance decisions using network diagnostics insights produced by both local and cloud AI. Enhanced monitoring and issue detection using bandwidth-efficient telemetry data. Transforming network maintenance of the network using real time issue localization plus predictive and self-healing network intelligence. Protecting network facilities and customers with improved cybersecurity intrusion detection. Assisting customers more effectively through local and cloud-based AI. Monitoring home IoT devices for connectivity disruptions. All these capabilities, and more, are achieved while reducing network latency and insulating customer data to ensure the utmost privacy standards. “By enabling a toolkit that includes FDX, ESD or both simultaneously, this new Unified DOCSIS4 chipset incorporates the advantages of both technologies and will enable economies of scale as well as a common retail modem for the industry,” said Rich Nelson, Senior Vice President and General Manager, Broadband Video Group, Broadcom. “The edge network and in-home capabilities of this chipset will improve network intelligence and reliability to create an improved broadband experience with enhanced privacy protection and cyber security for the consumer.” Comcast and Broadcom are designing and building the new chipset based upon CableLabs’ DOCSIS 4.0 specifications. The companies have a history of working together to introduce innovations that have pushed the industry to the next generation of connectivity. In 2021, Comcast conducted the world’s first full duplex multi-gigabit symmetrical test on Broadcom-built silicon. In January 2022 the companies tested the first Full Duplex DOCSIS 4.0 system-on-chip (SoC) cable modem that delivered symmetrical speeds faster than 4 Gbps. Later that year, Comcast successfully tested the final technical component of necessary to deliver multi-gig symmetrical speed powered by DOCSIS 4.0 throughout its network with 10G smart amps built on a Broadcom-developed reference design. The companies expect to begin trials early in 2024 and to begin deploying the new chipset in live networks before the end of the same year.

Read More

Platforms

Quectel Expands Its IoT Antenna Portfolio With Six New 4G and 5G Antennas

Business Wire | October 26, 2023

Quectel, a global IoT solutions provider, has unveiled six new antennas designed to provide robust connectivity performance for IoT devices. The new antennas cover a wide range of use cases from 5G to non-terrestrial networks (NTNs) bringing new capabilities to customers. We’re delighted to further augment our comprehensive range of antennas with the addition of these new antennas and evaluation boards, said Norbert Muhrer, President and CSO, Quectel Wireless Solutions. “Internet of Things applications increasingly demand high-performance antennas that meet their specific needs whether that’s for competitive cost, access to specific network technologies in particular frequency bands or for robust, safe characteristics such as IP ratings and RoHS and REACH compliance. The expanded Quectel antenna range is sure to meet the needs of your device and deployment and is backed by our design support and deployment experience, alongside, of course, our widely deployed and comprehensive range of modules.” The Quectel YC0001CA is a 4G surface-mount design (SMD) antenna that is optimized for LTE, LTE-M and Narrow Band-IoT (NB-IoT) networks. This low-profile antenna, which measures just 35.0 x 8.5 x 3.0mm, operates in the 700-960MHz and 1710-2700MHz and is both RoHS and REACH compliant for use in sensitive environments. In addition, the antenna can be supplied on tape and reel for high-volume applications and is compatible with all of Quectel’s 4G, 3G, 2G and LPWA IoT modules. The Quectel YC0018CA is a 5G SMD antenna that covers 5G New Radio (NR) Sub-6GHz frequency bands. Depending on the ground plane, the antenna is designed to be mounted directly to the printed circuit board (PCB) using a conventional PCB reflow process. Measuring 40.0 x 7.0 x 3.0mm, the antenna operates between -40 °C to +85 °C and weighs 15g. The antenna can be tuned specifically for the final device environment with a simple, PI matching circuit and, when used with other 5G antennas, it can achieve multiple input, multiple output (MIMO) performance. Also available on tape and reel, the antenna can also be supplied with the YC0018CAEVB evaluation board. The Quectel YECN028AA is a 5G or NTN external antenna that supports the 410-470MHz, 617-960MHz and 1425-6000MHz frequency bands. With dimensions of 225 x 54.5 x 13.0mm, the antenna is IP66, RoHS and REACH compliant so it has wide applicability to use cases in sensitive environments. Featuring high efficiency and gain, the antenna offers omni-directional high-speed data transmission and can be used in a wide range of wireless devices such as access points, outdoor equipment, real-time monitoring devices and many others. The Quectel YEMX223J1A is a 5G x 2 combo antenna that is IP67, RoHS and REACH compliant. Measuring 186.0 x 176.0 x 100.5mm, the combo antenna supports the 410-470MHz, 617-960MHz, 1420-1520MHz, 1710-2690MHz, 3300-3800MHz and 4000-6000MHz frequency bands. The ultra-wideband antenna box is also backward compatible supporting 2G and 3G networks as well as Cat-M and NB-IoT. Designed for ease of integration with connection via two cable lengths from 450-5000mm, the pole, wall suction mount omni-directional antenna offers ease of installation and durability thanks to its IP67 and IP69K compliant enclosure. Quectel offers flexible installation option with custom cable length and connector options The Quectel YEMX425J1A is a 5G x 4 combo antenna that measures 186.0 x 176.0 x 150mm. The combo antenna supports the 410-470MHz, 617-2690 MHZ and 3300-6000MHz frequency bands and both RoHS and REACH compliant. Offering backward compatibility with 2G, 3G, Cat-M and NB-IoT, the antenna is, in common with the YEMX223J1A, compatible with Quectel’s RM520x Series of IoT modules. In addition, durability is assured thanks to the combo antenna’s IP67 and IP69K ASA enclosure. Rounding out the latest wave of Quectel antenna introductions, the Quectel YSIS001AA, metal spring antenna operates in the 412-427MHz band, the 433-435 MHz band and the 450-470MHz band which is compatible with LTE B31 plus EU433 applications. Measuring 29.0 x 7.0 x 7.90mm, the RoHS and REACH compliant antenna is mounted to the host device PCB using the conventional SMD reflow process, offering high efficiency. In common with all Quectel antennas, these new additions to the range also gain Quectel’s comprehensive antenna design support including simulation, testing and manufacturing for custom antenna solutions to meet customers’ specific application needs. About Quectel Quectel’s passion for a smarter world drives us to accelerate IoT innovation. A highly customer-centric organization, we are a global IoT solutions provider backed by outstanding support and services. Our growing global team of 5,900 professionals sets the pace for innovation in cellular, GNSS, Wi-Fi and Bluetooth modules as well as antennas and services. With regional offices and support across the globe, our international leadership is devoted to advancing IoT and helping build a smarter world.

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Enterprise Iot

Nokia, BT Group and MediaTek trial 5G RedCap technology to accelerate the Internet of Things

MarketScreener | October 18, 2023

Nokia, together with BT Group and MediaTek today announced that they have successfully completed trials of 5G Reduced Capability (RedCap) technology with RedCap devices. The trial, which took place at BT Group's Adastral Park site, utilized Nokia's AirScale RAN portfolio, EE's 5G Standalone (SA) network, and MediaTek's RedCap testing platform. RedCap is a technology introduced in 3GPP Release 17 that brings 5G to devices that do not require its full capabilities. It has the potential to expand the IoT ecosystem and accelerate its deployment within the industry. BT Group is evaluating RedCap to support new 5G use cases which could benefit both EE's business and consumer customer bases. 5G devices such as smartphones often have complex hardware and power-hungry features which leads to higher cost, size, and power consumption. RedCap technology focuses on simplifying 5G devices, particularly small IoT devices such as wearables or health trackers for consumers as well as ruggedized routers, and environmental or other condition-based monitoring sensors. These devices have less demand for battery life and lower bandwidth requirements. RedCap ensures they maintain performance and optimizes their power efficiency. Nokia has played a pivotal role in advancing RedCap IoT functionality together with the telecommunications industry. Greg McCall, Chief Networks Officer at BT Group said: 'This trial with Nokia demonstrates the potential of RedCap technology in unlocking a new wave of innovation within the 5G services ecosystem. This is especially the case as we move towards the arrival of 5G SA, bringing with it enhanced reliability, responsiveness, security, and speed which - through 5G RedCap - promises to benefit a host of new IoT devices and use cases.' Robert Moffat, Deputy Director Europe Mobile Business Development at MediaTek, said: 'Our collaboration with Nokia and BT Group for this trial of 5G RedCap technology aligns with MediaTek's commitment to driving innovation and expanding the potential of 5G SA to include a wider ecosystem of devices and use cases.' Phil Siveter, CEO, UK and Ireland at Nokia, commented: 'The introduction of RedCap will unlock new 5G opportunities for many industries, with potentially billions of new devices connected with 5G. Our field tests with BT Group show that Nokia 5G Standalone networks are ready to support RedCap devices.'

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