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5G will greatly promote the development of artificial intelligence (AI) technology. AI technology will also empower and intelligentize 5G, build capabilities of intelligent networks, help 5G overcome various challenges in its development, and provide better services for vertical industries and mass market customers with different requirements. 5G intelligent networks are expected to have the new architectures

The five articles in this special section focus on novel research contributions, demonstration results, and standardization efforts on 5G network security, privacy and trust. Currently it is expected that the generation (5G) wireless systems will soon provide rich ubiquitous communication infrastructure with wide a range of high-quality services. It is foreseen that 5G communications will offer significantly

The Internet of Things (IoT) is expected to provide ubiquitous wireless machine-type communication devices and extensive information collection, resulting in an unprecedented amount of privacy and secrets exposed to the radio space. Security issues become a major restriction on the further development of IoT. However, secure transmissions in IoT are challenged by low complexity limitation and massive

The development of 5G presents regulators with several security-related challenges. Implementation of a security framework that would be capable of addressing all concerns of users and, by extension, of governments, is one of them. In March 2019, the European Commission presented a plan to achieve, throughout the European Union, a concerted response to security concerns related to 5G networks. This

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Federated learning (FL) has recently been proposed as an emerging paradigm to build machine learning models using distributed training datasets that are locally stored and maintained on different devices in 5G networks while providing privacy preservation for participants. In FL, the central aggregator accumulates local updates uploaded by participants to update a global model. However, there are two

Cognitive cyber physical systems (CCPSs) are integrated closed-loop solutions with cyber and physical components that are empowered with cognitive properties. The security of these highly capable CCPSs is a critical issue that needs to be addressed collaboratively with the quality of service constraints and the associated transmission costs. In this article, we highlight the properties of CCPSs, address

Unmanned aerial vehicles (UAVs) are emerging as enablers for supporting many applications and services, such as precision agriculture, search and rescue, temporary network deployment or coverage extension, and security. UAVs are being considered for integration into emerging 5G networks as aerial users or network support nodes. We propose to leverage UAVs in 5G to assist in the prevention, detection

Cellular systems have to resist smart jammers that can optimize their selection of jamming channels and powers based on the estimated ongoing network states. In this article, we present an unmanned aerial vehicle (UAV) aided cellular framework against jamming, in which an UAV uses reinforcement learning to choose the relay policy for a mobile user whose serving base station is attacked by a jammer

Within the mm-Wave range of the B5G communication systems, there will appear many types of applications with different link types. In discussions on how to cover the various channel modeling requirements of such applications, some researchers have suggested map-based channel models that are based on a ray-tracing algorithm. This article thus begins with an overview of mapbased mm-Wave channel models

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In this article, we propose a framework for a multi-access edge computing-enhanced heterogeneous network employing massive MIMO transmission and small cells that is designed to mitigate interference, increase throughput, alleviate backhaul capacity pressure, and reduce signaling overhead. We design the information-centric transmission mechanism and discuss possible signal processing and transmission

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Massive MIMO, a key technology for increasing area spectral efficiency in cellular systems, was developed assuming moderately sized apertures. In this article, we argue that massive MIMO systems behave differently in large-scale regimes due to spatial non-stationarity. In the large-scale regime, with arrays of around 50 wavelengths, the terminals see the whole array but non-stationarities occur because

Visible light communication (VLC), which utilizes the ubiquitous illumination network to implement high-speed communication, is rapidly emerging as one promising candidate to complement conventional radio frequency communication. In practical VLC systems, the illumination network is required to be human-centric to provide adjustable lighting for different user requirements, which limits the resource

DL has achieved great success in signal processing and communications and has become a promising technology for future wireless communications. Existing works mainly focus on exploiting DL to improve the performance of communication systems. However, the high memory requirement and computational complexity constitute a major hurdle for the practical deployment of DL-based communications. In this article

While 5G is being tested worldwide and anticipated to be rolled out gradually in 2019, researchers around the world are beginning to turn their attention to what 6G might be in 10+ years time, and there are already initiatives in various countries focusing on the research of possible 6G technologies. This article aims to extend the vision of 5G to more ambitious scenarios in a more distant future and

Recently, traditional transportation systems have been gradually evolving to ITS, inspired by both artificial intelligence and wireless communications technologies. The vehicles get smarter and connected, and a variety of intelligent applications have emerged. Meanwhile, the shortage of vehicles' computing capacity makes it insufficient to support a growing number of applications due to their compute-

Wireless communications are envisioned to bring about dramatic changes in the future, with a variety of emerging applications, such as virtual reality, Internet of Things, and so on, becoming a reality. However, these compelling applications have imposed many new challenges, including unknown channel models, low-latency requirement in large-scale super-dense networks, and so on. The amazing success

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The papers in this special section focus on advances in security and privacy techniques in emerging wireless networks.

Relay has been a promising technique for extending the coverage area of a cellular network without incurring additional cost for wired backhaul. With this merit, relay technology has been widely considered for developing and deploying cellular networks such as IEEE 802.16j WiMAX and 3GPP LTE-Advanced. As a natural consequence, standardization for relay support is now being conducted in the 3GPP 5G

The Internet of Things (IoT) is an emerging technology whose popularity and use cases grow with every passing day. Although the domain of IoT has proven to be transformative, as the deployment size of the network increases, it becomes a huge challenge to secure such a large number of heterogeneous devices connected by a complex network having a variety of access protocols. Software defined networking

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

Nowadays, the development of the Internet of Things (IoT) has received much attention from both industry and academia. Sensors and devices connected to the IoT network can conveniently gather and collect information for further usage and analysis by IoT users. However, a large quantity of data produced by IoT devices contain sensitive information, which leads to many challenging security issues in

Data sharing among connected and autonomous vehicles without any protection will cause private information leakage. Simply encrypting data introduces a heavy overhead; most importantly, when encrypted data (ciphertext) is decrypted on a vehicle, the receiver will be fully aware of the sender's data, implying potential data leakage. To tackle these issues, we propose an edge-assisted privacy-preserving

LBSs have been prospering over recent years. Although many LPPMs are proposed to solve specific problems under certain settings, it is still hard to satisfy the different demands of users due to the diverse requirements for quality of service (QoS) and privacy preservation. In this article, we propose an adaptive scheme to achieve fine-grained QoS for privacy-aware users in LBSs. Specifically, we construct

Deploying blockchain in IoT is an effective way to address traditional security issues. However, existing approaches have two major limitations: since the blockchain itself is subject to attacks, including selfish mining, double spending, and distributed denial of service attacks, IoT smart devices are also vulnerable once hackers successfully invade blockchain systems; due to the heterogeneity and

A reputation management scheme plays a critical role for secure communications in vehicular networks. However, due to the limited wireless communication in the past few years, the existing solutions fail to capture the current high-performance network communication provided by the 5G network. As a result, the attributes of security and efficiency can hardly be satisfied at the same time. In this article

Outlier detection in the Internet of Things (IoT) is an essential challenge issue studied in numerous fields, including fraud monitoring, intrusion detection, secure localization, trust management, and so on. Conventional outlier detection technologies cannot be used directly in IoT due to the open nature of wireless communication as well as the resource-constrained characteristics of end nodes. Therefore

Wireless communication is the most important carrier for covert channels because increasing security threats have made covert channels an alternative to transmitting confidential information in untrusted wireless communications. As a solution for next-generation mobile communication, voice over LTE (VoLTE) is developed using a high-speed packet-switched core network to provide high-quality end-to-end

Authentication is the most pervasive means for developers to protect users' private data against attacks while using mobile applications. Incorrect implementations of authentication make users' accounts vulnerable to several attacks such as eavesdropping attacks, reply attacks, and man-inthe- middle attacks, and thus break the first line of defense in securing mobile services. To solve this problem

Mobile social applications have been widely used by Internet users. Users can efficiently acquire many kinds of information and share their statuses by various social platforms. However, when a user intends to share information through the user's social applications, the user can set the access permission only before the information is posted. Once the information is posted, it is completely beyond

In this article, we introduce a novel deception strategy inspired by the "Borrowing Arrows with Thatched Boats" strategy, one of the most famous military tactics in history, in order to defeat reactive jamming attacks for low-power IoT networks. Our proposed strategy allows resource-constrained IoT devices to be able to defeat powerful reactive jammers by leveraging their own jamming signals. More

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The fifth-generation cellular networks (5G) have boosted the unprecedented convergence between the information world and physical world. On the other hand, empowered with the enormous amount of data and information, AI has been universally applied and pervasive AI is believed to be an integral part of 6G. Consequently, benefiting from the advancement in communication technology and AI, we boldly argue

LTE D2D communication, which emerges as a SoLoMo network enabler, has become an essential part of our everyday life and brings benefits to subscribers and telecommunication operators alike. Proximate device discovery, or peer discovery, is an essential part in the D2D technology since the node first needs to find its neighbors before initiating D2D communication. With functions of intelligent discovery

In an increasingly interconnected world, the demand for smartphones, tablets, and other wireless devices in the IoT has surged over the last few years. This high demand has increased mobile data usage and wireless communication, resulting in an explosion of traffic demand in the limited 2.4 GHz frequency band. This traffic demand and the limitations of existing wireless devices operating in the same

Artificial intelligence (AI)-driven fog computing (FC) and its emerging role in vehicular networks is playing a remarkable role in revolutionizing daily human lives. Fog radio access networks are accommodating billions of Internet of Things devices for real-time interactive applications at high reliability. One of the critical challenges in today's vehicular networks is the lack of standard wireless

The rise of big data and AI boosts the development of future wireless networks. However, due to the high cost of data offloading and model training, it is challenging to implement network intelligence based on the existing centralized learning strategies, especially at the edge of networks. To provide a feasible solution, a paradigm of federated learning- enabled intelligent F-RANs is proposed, which

The rapid development of wireless communication technology and smart devices has made the traditional cloud-based Internet of Things architecture unable to meet the stringent requirements of 5G mobile communication networks. In order to realize high-reliability and low-latency communication for 5G, F-RANs have become a potential evolution path. However, F-RANs still face several challenges regrading

Recently, fog-computing-based radio access networks (F-RANs) have been conceptualized to provide high quality of experience (QoE) for adaptive bit rate (ABR) streaming, where additional computing capacity is supplemented on fog nodes to facilitate complicated cross-layer optimization (i.e., joint bit rate selection and radio resource allocation). However, finding an optimal global solution with acceptable

With the advent of 5G wireless communication systems, multimedia data is predicted to grow rapidly in the near future. As a result, the large amount of multimedia data puts huge pressure on wireless communication, which poses a huge challenge to network capacity. Multimedia data (image/ video) intelligent compression is an effective way to increase the network capacity and improve the user's QoE. The

Fog computing has emerged as a unifying platform to provide computing, communication, and storage for a variety of mobile applications. That helps achieve high bandwidth, high intelligence, low latency, and low energy consumption in handling massive networking devices and emerging rich multimedia services in 5G networks. Current prominence and future promises are changing from the Internet of Things

Industrial robots are widely adopted in modern industries, including automobile manufacturing, warehousing, and so on. The industrial robot with cellular network connection will be more flexible and intelligent than that without a network connection or with a conventional industrial communication network connection (e.g., fieldbus, real-time Ethernet, and WiFi). This is seen as the direction of development

F-RAN is regarded as a promising paradigm for mobile networks to alleviate the unprecedented traffic pressures and meet quality of service requirements of various 5G services with great flexibility. To make F-RAN work in a reliable, efficient, and smart way, AI-enabled F-RAN could be innovative in a number of directions: computing task offloading, resource management, dynamic beam selection, cross-layer

Emergency communication infrastructures are of critical importance in disaster rescue scenarios, responsible for providing reliable connection services among victims, rescuers, and public safety command centers. Moreover, many rescue missions demand effective perception and real-time decision making, which highly rely on effective data collection and processing, and the availability of low-latency

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