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This month is the last of four installments on multi-layer network architectures. We talked about the need for satellite, fiber and wireless network architectures to include all layers in its designs. When they are integrated together to form one Internet, issues on internetworking appear at all layers including the Application Layer. All the more critical are network architectures with coherent multi-layer

The IEEE World Forum on the Internet of Things (WFIoT2021) seeks submissions and proposals for original technical papers that address the Internet of Things (IoT), its theoretical and technological building blocks, the applications that drive the growth and evolution of IoT, operational considerations, experimentation, experiences from deployments, and the impacts of IoT on consumers, the public sector

Before the Internet era, telephone penetration was the measure of U.S. progress in securing universal access to all its citizens (access to affordable telephone service). The telephone referred to herein was obviously the “landline”, which evolved from analog to digital throughout the second half of the 20th Century. By the mid-1990s, the notion of universal access had included access to computers

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With this issue we begin a new series of eight interviews with the Officers of the IEEE ComSoc Member and Global Activities (MGA) Council, which will be published every month in the Global Communications Newsletter.

Traditional machine learning is centralized in the cloud (data centers). Recently, the security concern and the availability of abundant data and computation resources in wireless networks are pushing the deployment of learning algorithms toward the network edge. This has led to the emergence of a fast growing area, called edge learning, which integrates two originally decoupled areas: wireless communication

Bringing the success of modern machine learning (ML) techniques to mobile devices can enable many new services and businesses, but also poses significant technical and research challenges. Two factors that are critical for the success of ML algorithms are massive amounts of data and processing power, both of which are plentiful, but highly distributed at the network edge. Moreover, edge devices are

The recent breakthrough in artificial intelligence (AI), especially deep neural networks (DNNs), has affected every branch of science and technology. Particularly, edge AI has been envisioned as a major application scenario to provide DNN-based services at edge devices. This article presents effective methods for edge inference at resource-constrained devices. It focuses on device-edge co-inference

Future machine learning (ML) powered applications, such as autonomous driving and augmented reality, involve training and inference tasks with timeliness requirements and are communication- and computation-intensive, which demands the edge learning framework. The real-time requirements drive us to go beyond accuracy for ML. In this article, we introduce the concept of timely edge learning, aiming to

Edge intelligence, also called edge-native artificial intelligence (AI), is an emerging technological framework focusing on seamless integration of AI, communication networks, and mobile edge computing. It has been considered to be one of the key missing components in the existing 5G network and is widely recognized to be one of the most sought after functions for tomorrow's wireless 6G cellular systems

Machine learning (ML) tasks are becoming ubiquitous in today's network applications. Federated learning has emerged recently as a technique for training ML models at the network edge by leveraging processing capabilities across the nodes that collect the data. There are several challenges with employing conventional federated learning in contemporary networks, due to the significant heterogeneity in

To facilitate the deployment of machine learning in resource and privacy-constrained systems such as the Internet of Things, federated learning (FL) has been proposed as a means for enabling edge devices to train a shared learning model while promoting privacy. However, Google's seminal FL algorithm requires all devices to be directly connected with a central controller, which limits its applications

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

The Design and implementation of Devices, Circuits, and Systems Series features original articles that cover a broad range of topics in technological advances of communication devices, circuits and systems. The Series continues to attract contributions from different industrial sectors including healthcare, automotive, energy, agriculture, smart manufacturing, consumer electronics, smart city, VR/AR/hologram

Space modulation techniques (SMTs) are shown to facilitate multiple-input multiple-output transmitter designs with a maximum of a single RF-chain. This article aims to review and summarize recent advancements in SMTs' hardware design and implementations. This includes a discussion of challenges, implementation issues, and the state of the art. Related contents covered in this article are transceiver

Network-centric computing offloads and disaggregates computing and data processing from CPU to network in order to support growing throughput, big data volume, and information complexity in data centers. An emerging paradigm is employing SmartNIC for network-centric computing, which introduces user-specific processing at a host's network interface. In this article, we take this initiative further to

This article provides an overview of current and future implementations of high-resolution millimeter-wave active sensor technologies for applications in cyber-physical systems. The two major groups of active sensors, that is, pulsed and frequency modulated continuous-wave radars, are studied, and their performance for benchmark applications are compared. The specific design challenges of these radar

Today, we see a sharp rise in the interest in communicating wirelessly over an optical channel, for instance, building networks that are free from adjacent cell interference. LEDs are already widely used in illumination, and LED LiFi systems that carry up to gigabits per second are commercially available. Progress in wireless communication relies, to a significant extent, on a solid understanding of

Machine learning models have achieved state-of-the-art performance in various fields, from image classification to speech recognition. However, such models are trained with a large amount of sensitive training data, and are typically computationally expensive to build. As a result, many cloud providers (e.g., Google) have launched machine-learning-as-a-service, which helps clients benefit from the

The search for physical layer technologies that can play a key role in beyond 5G systems has started. One option is reconfigurable intelligent surfaces (RISs), which can collect wireless signals from a transmitter and passively beamform them toward the receiver. The technology has exciting prospects and is quickly gaining traction in the communication community, but in the current hype we have witnessed

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Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

The articles in this special section focus on THz communications.

User-centric and low-latency communications can be enabled not only by small cells but also through ubiquitous connectivity. Recently, the vertical heterogeneous network (V-HetNet) architecture has been proposed to backhaul/fronthaul a large number of small cells. Like an orchestra, the V-HetNet is a polyphony of different communication ensembles, including geostationary Earth orbit and low Earth orbit

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

How well do upper millimeter-wave and terahertz frequency bands enable wireless communications? In this work, we approximate the current and estimate the future communication potential with emphasis on antenna and radio frequency hardware technologies, and radio propagation challenges. This is done by performing link budget evaluations with justified estimates of link budget calculus terms, such as

With the ratification of the IEEE 802.15.3d amendment to 802.15.3, a first step has been made to standardize consumer wireless communications in the sub-THz frequency band. IEEE 802.15.3d offers switched point-to-point connectivity with data rates of 100 Gb/s and higher at distances ranging from tens of centimeters up to a few hundred meters. In this article, we provide a detailed introduction to IEEE

The terahertz band (0.1 THz-10 THz) with massive spectrum resources is recognized as a promising candidate for future rate-greedy applications, such as 6G communications. Optoelectronic terahertz communications are beneficial for realizing 100 Gb/s data rate and beyond, which have greatly promoted the progress of the 6G research. In this article, we give technical insight into the key technologies

Using the concept of a "THz-wireless fiber extender," we can combine the flexibility of wireless networks with the high capacity of fiber optic communication. The availability of a large, contiguous bandwidth in the frequency band around 300 GHz creates the opportunity to seamlessly interconnect coherent THz-wireless and fiber optic transceiver frontends using a transparent, analog baseband interface

Recent evolutions in semiconductors have brought the terahertz band into the spotlight as an enabler for terabit-per-second communications in 6G networks. Most of the research so far, however, has focused on understanding the physics of terahertz devices, circuitry, and propagation, and on studying physical layer solutions. However, integrating this technology in complex mobile networks requires proper

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

Channel state information (CSI) has been a key component in traditional wireless communication systems. This might no longer hold in future networks supporting services with stringent quality of service constraints such as extremely low latency, low energy, and/or large number of simultaneously connected devices, where acquiring CSI would become extremely costly or even impractical. We overview the

Network slicing technology delivers tailored network resources to individual applications on demand. This article first studies the network demands of the most popular UAV applications. These applications are classified according to their quality of service (QoS) requirements. A novel network slicing framework, AirSlice, is designed in the 5G domain to enable differentiated QoS support for UAV applications

The rise of the Internet of Things (IoT) presents important challenges for future radio networks. Non-orthogonal multiple access (NOMA), which allows the network to support more than one user per orthogonal resource element, was recently proposed as a promising solution that can ultimately support the daunting requirements of such networks including massive connectivity, high spectral efficiency, and

Future emerging communication technologies are anticipated to fold into our surroundings, helping us get our noses off the smartphone screens and back into our environments. In doing so, they make us more (rather than less) present in the world around us. While 5G was supposed to be about the Internet of Everything, to be transformative 6G might be just about the opposite of Everything, that is, Nothing

The fifth generation (5G) mobile network is standardized and developed to explore the mobile market beyond 2020. In response to the diverse strategies of 5G deployment, five alternative network architectures have been proposed to 3GPP by different mobile operators. To fulfill the urgent deployment requirement from some operators, an early drop of 5G, termed as non-standalone (NSA) new radio (NR), was

5G technology is expected to enable many innovative applications in different verticals. These applications have heterogeneous performance requirements (e.g., high data rate, low latency, high reliability, and high availability). In order to meet these requirements, 5G networks endorse network flexibility through the deployment of new emerging technologies, mainly network slicing and mobile edge computing

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Presents the ComSoc calendar of upcoming events and meetings.