High-quality medical infrastructures and resources are mostly located in big cities. Remote areas are lacking of such medical resources. A rapid siphon effect of big cities makes the medical resources of remote areas even worse. It is widely agreed that technology development should lead to social progress and make human life more convenient; but it should not distinguish people according to their

In this issue of IEEE Wireless Communications, we are pleased to present two feature topics that are both related to the future of e-Health and wireless technologies. One feature topic, “5G and Beyond Technologies-enabled Remote e-Health”, includes three articles; the other feature topic, “The Future of e-Health: Applications, Solutions and New Visions in the IoT Era”, includes five articles. Thanks

The employment of digital technologies and new paradigms are opening the doors to innovative prospects for the future of eHealth worldwide. Traditional Information and Communications Technologies (ICT) are evolving into molecular communications, and artificially created boundaries between medicine and ICT will be removed in order to take advantage of the new opportunity to dramatically improve the

The demand for real-time, affordable, and efficient smart healthcare services is increasing exponentially due to the technological revolution and burst of population. To meet the increasing demands on this critical infrastructure, there is a need for intelligent methods to cope with the existing related challenges. In this regard, edge computing technology can reduce latency and energy consumption

The recent COVID-19 pandemic has brought significant challenges to the traditional healthcare industry. A novel eHealth system is required to cope with infectious and chronic diseases. This article proposes an online eHealth system to monitor patients and provides edge computing services based on the Internet of Unmanned Aerial Vehicles (UAVs). In order to minimize the health monitoring latency and

Brain stroke treatments are strongly time-dependent. Indeed, the literature stresses the need for quick diagnosis to guarantee the most effective therapy with the famous motto “time is brain” [1]. Numerically speaking, a crucial goal for strokes is trying to achieve a door-to-needle time shorter than 60 minutes, called The Golden Hour [2], within which patients have the highest probability of a full

With the current sedentary lifestyle we are living, along with an aging population, there is a noticeable rise in the number of impaired and physically debilitated citizens. Such debilitations require new solutions to aid in the rehabilitation process and lift the burden on healthcare systems, which are already overwhelmed in many developed countries. In this article, we target this problem by introducing

The Internet of Things (IoT) technology has been widely introduced to the existing medical system. An eHealth system based on IoT devices has gained widespread popularity. In this article, we propose an IoT eHealth framework to provide an autonomous solution for patients with interventional cardiovascular diseases. In this framework, wearable sensors are used to collect a patient's health data, which

5G technology brings a comprehensive improvement in the network layer, which meets real-time, high-efficiency, and stability requirements in medical scenarios to a large extent, such as remote diagnosis and surgery. The heavy burden and severe impact of mental disorders make it desirable to find quantitative and automatic assessment approaches for early-stage detection of mental disorders. Facial expressions

Breast cancer, the most common cancer in women, is receiving increasing attention. The lack of high-quality medical resources, especially highly skilled doctors, in remote areas makes the diagnosis of breast cancer inefficient and causes great harm to women. The emergence of remote e-health has improved the situation to a certain extent, but its capabilities are still hampered by technical limitations

A novel framework is proposed to integrate communication, control, and computing (3C) into fifth generation and beyond (5GB) wireless networks for satisfying the ultra-reliable low-latency connectivity requirements of remote e-health systems. Non-orthogonal multiple access (NOMA)-enabled 5GB network architecture is envisioned, while the benefits of bringing it to remote e-health systems are demonstrated

WiFi 6 based on the IEEE 802.11ax amendment is intended to improve spectral efficiency and area throughput operations in high density environments. This is achieved (among other methods) by the introduction of Orthogonal Frequency Division Multiple Access (OFDMA) and enhanced multi-user Multiple Input Multiple Output (MU-MIMO) features. In this work, we explore the performance of downlink and uplink

Cognitive radio (CR) is a promising technology enabling efficient utilization of the spectrum resource for future wireless systems. As future CR networks are envisioned to operate over a wide frequency range, advanced wideband spectrum sensing (WBSS) capable of quickly and reliably detecting idle spectrum bands across a wide frequency span is essential. In this article, we provide an overview of recent

Full-duplex (FD) transmission has already been regarded and developed as a promising method to improve the utilization efficiency of the limited spectrum resource, as transmitting and receiving are allowed to simultaneously occur on the same frequency band. Nowadays, benefiting from the recent development of intelligent reflecting surface (IRS), some unique electromagnetic (EM) functionalities, such

In Internet of Things (IoT), ZigBee and Bluetooth Low Energy (BLE) are two popular technologies. Their devices often coexist and enabling them to communicate with each other will facilitate our daily lives greatly. In this article, we present PatternBee, a lightweight physical-level cross-technology communication (PHY-level CTC) scheme which enables ZigBee-to-BLE direct communications. In PatternBee

With the rapid growth of time-critical applications in smart grid, robotics, autonomous vehicles, and industrial automation, demand for high reliability, low latency and strictly bounded jitter is sharply increasing. High-precision time synchronization communications, such as Time Triggered Ethernet (TTE), have been successfully developed for wired networks. However, the high cost of deploying additional

Recent advances in the Internet of Things (IoT) and the adoption of IoT in vehicular networks have led to a new and promising paradigm called the Internet of Vehicles (IoV). However, the mode of communication in IoV being wireless in nature poses serious cybersecurity challenges. With many vehicles being connected in the IoV network, the vehicular data is set to explode. Traditional intrusion detection

The emergence of visible light communication (VLC) technology as a solution to solve radio frequency impediments, such as spectrum shortage, is continuously appealing. In addition to its large and unlicensed bandwidth, VLC provides a high level of security in a closed room with zero radio frequency interference. However, loss of the VLC signal is experienced when the receiver rotates or moves. This

5G networks for industry applications have different service and performance requirements, and thus the need for new charging schemes. Starting from the charging requirements of the 5G industrial network, this article proposes a new charging scheme based on multiple network capabilities, including transmission latency, reliability, data rate and coverage. The charging scheme is quantitatively presented

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In the past decade we have witnessed the development of machine learning and artificial intelligence algorithms with cloud computing in providing intelligence for smart applications. By collecting raw data from a multitude of mobile and wireless devices, the cloud server executes machine learning algorithms to train the data and perform data prediction. However, the growing number of devices has generated

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

Provides an overview of the technical articles and features of interest to readers that appear outside of this publication.

The telecommunication industry has been keeping people around the world connected for over a century. Recently, as a result of the COVID-19 pandemic, we now communicate digitally more than ever, highlighting the pivotal role that the telecom industry plays in providing the world a platform that allows us to stay connected from the comfort of our own homes. We live in a globalized era where physical

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Beyond fifth-generation (B5G) networks, or so-called “6G”, is the next-generation wireless communications systems that will radically change how Society evolves. Edge intelligence is emerging as a new concept and has extremely high potential in addressing the new challenges in B5G networks by providing mobile edge computing and edge caching capabilities together with Artificial Intelligence (AI) to

Edge intelligence is a key enabler for powerful applications through offering artificial-intelligence-empowered computation and caching service in proximity of end users. However, massive data interaction among edge nodes and distributed information storage in the service process make edge network vulnerable to privacy threats. Moreover, the upcoming beyond fifth generation (B5G) era brings new features

Massive multiple-input multiple-output (mMIMO) is a critical component in upcoming 5G wireless deployment as an enabler for high data rate communications. mMIMO is effective when each corresponding antenna pair of the respective transmitter-receiver arrays experiences an independent channel. While increasing the number of antenna elements increases the achievable data rate, at the same time computing

Massive devices connected through fifth-generation (5G) networks constitute a ubiquitous Internet of Things (IoT), providing diverse service applications in a smart city. A robust network topology structure against cyber-attacks is the foundation of highly reliable service quality, especially in next-generation networks or beyond 5G (B5G) networks. Existing methods apply neural networks with deep reinforcement

Motivated by the ever-increasing demands for massive data processing and intelligent data analysis at the network edge, federated learning (FL), a distributed architecture for machine learning, has been introduced to enhance edge intelligence without compromising data privacy. Nonetheless, due to the large number of edge devices (referred to as clients in FL) with only limited wireless resources, client

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In a level-5 autonomous driving system, the autonomous driving vehicles (AVs) are expected to sense the surroundings via analyzing a large amount of data captured by a variety of onboard sensors in near-real-time. As a result, enormous computing costs will be introduced to the AVs for processing the tasks with the deployed machine learning (ML) model, while the inference accuracy may not be guaranteed

Beyond fifth generation (B5G) communication networks and computation paradigms in the edge are expected to be integrated into power grid infrastructures over the coming years. In this sense, AI technologies will play a fundamental role to efficiently manage dynamic information flows of future applications, which impacts the authorization policies applied in such a complex scenario. This article studies

Facing the trend of merging wireless communications and multi-access edge computing (MEC), this article studies computation offloading in beyond fifth generation networks. To address the technical challenges originating from the uncertainties and the sharing of limited resource in an MEC system, we formulate the computation offloading problem as a multi-agent Markov decision process, for which a distributed

5G and beyond (B5G) networks are leading a digital revolution in telecommunication in both academia and industry. It brings new paradigms in many aspects of people's daily lives due to its advantages. However, it still leaves some issues in terms of security and privacy as challenges. Blockchain, the public database, is an alternative to the traditional centralized systems, serving as the backbone

Virtual reality (VR) over wireless has promising applications in healthcare, education, entertainment, and industrial production. However, it is difficult for the existing wireless systems to meet the needs of massive content transmission, ultra-low latency, and high computation in wireless VR. In this article, with the recent advances of edge intelligence and the Internet of Intelligence, we propose

Integrating artificial intelligence (AI) with mobile edge computing, edge intelligence (EI) has emerged as a new paradigm for 5G and beyond 5G (B5G) systems. The integration of EI and heterogeneous networks (e.g., mobile and wireless local area networks) also raises new concerns about security and privacy. This article examines two important security aspects of EI-empowered, heterogeneous, B5G networks

Many emerging wireless applications are based on unique requirements such as edge data processing, distributed trust, and automation, which can be provided and enabled by blockchain technology through decentralization, transaction accountability, and smart contract-based automation. This article discusses opportunities and challenges of such blockchain-enabled wireless applications. First, blockchain

Wireless communication systems assisted by unmanned aerial vehicles (UAVs) can well extend the coverage of conventional communication networks and quickly provide service wherein the communication infrastructures are destroyed. However, radio resources are always limited and coupled with complex interference in the orthogonal multiple access framework. Thus, non-orthogonal multiple access (NOMA), which

Information-Centric Networking (ICN) has emerged as a paradigm to cope with the lack of built-in security primitives and efficient mechanisms for content distribution of today's Internet. However, deploying ICN in a wireless environment poses a different set of challenges compared to a wired environment, especially when it comes to security. In this article, we present the security issues that may

Next-generation communication networks can provide high capacity, low latency, and massive connections; however, they introduce novel challenges of management complexity, and traditional mathematical methods cannot well characterize the rational behavior of users. In this article, we pay attention to the methods of artificial intelligence (AI) and game theory. We first review the applications of machine

Vehicle-to-Everything (V2X) creates many new opportunities in the area of wireless communications, while its feasibility on enabling vehicular positioning (VP) has not been fully explored despite its importance for autonomous driving. This article aims at investigating whether V2X can help VP from different perspectives. We first explain V2X's critical advantages over other technologies (e.g., GPS

Mobile service providers (SPs) offer various data plans to satisfy the needs of their customers and to maximize their own profits. One of these plans is unlimited Internet access. However, in practice there is a concern for customers who do not want to pay premium prices for unlimited plans, as exceeding the maximum data allowance in a limited plan may result in a high penalty. But when users travel

Driven by the extensively emerging applications requiring big data processing, a series of heterogeneous network architectures have been proposed to meet user experience requirements. Among them, the concept of fog computing facilitates the effective integration and utilization of ubiquitous computing resources. In fog computing scenarios, willingness and service billing issues become significant to

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While researchers have set their sights on future wireless networks of 2030, communications through reconfigurable intelligent surfaces (RISs) appears as one of the potential enabling technologies for 6G wireless networking. This article aims to shed light on the potential use-cases of RISs in future wireless systems by means of a novel channel modeling methodology as well as a new software tool for

This article proposes the concept of channel knowledge map (CKM) as an enabler toward environment-aware wireless communications. CKM is a site-specific database, tagged with the locations of the transmitters and/or receivers, that contains channel-related information useful to enhance environment-awareness and facilitate or even obviate sophisticated real-time channel state information (CSI) acquisition

Pervasive healthcare is a promising assisted-living solution for chronic patients. However, current cutting-edge communication technologies are not able to strictly meet the requirements of these applications, especially in the case of life-threatening events. To bridge this gap, this article proposes a new architecture to support indoor healthcare monitoring, with a focus on epileptic patients. Several

Mobile Opportunistic Networks (MONs) are characterized by the lack of continuous end-to-end connectivity between two nodes due to node mobility, sparse deployment, and constrained resources. In order to fulfill ubiquitous communication requirements of them, social-aware routing, which exploits social ties and behaviors among nodes to make forwarding decisions, has been proposed and already become a

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For many of us, 2020 has been a lost year in some ways. On top of an enormous loss of human lives, the pandemic paused much of our progress on long-planned family and career goals. It forced international conferences and holiday trips to either be changed to virtual events or to be cancelled. It warped many people's sense of time, causing months-long stretches to seem interminable in the moment but

5G networks and devices are being rolled out at an unprecedented speed in all corners of the globe. These rollouts are all based on 3GPP's Release 15 standard that includes the first version of 5G NR specifications and was released in June/2019. 3GPP has since been actively working to expand the functionalities of 5G, and this paper presents the 5G evolution path brought by 3GPP release 16, 17, and

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Mobile data traffic grew by more than 50 percent between the first quarters of 2019 and 2020 and is projected to grow by close to a factor of 5 to reach 164 exabytes per month by 2025. This insatiable demand for mobile broadband communication services, including video, social networking, web browsing, audio, software updates, and peer-to-peer file sharing, has been driven by both the rising number

In-band full duplex (IBFD) radio represents one of the key technologies for future wireless communication and radar applications. A major challenge of this technology is to mitigate the strong self-interfer-ence (SI) so that the residual SI level falls below the receiver's noise floor. Radio frequency (RF) self-inter-ference cancellation (SIC) is essential for preventing an IBFD receiver from becoming