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Table of contents IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2021-01-12
Presents the table of contents for this issue of the publication.
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IEEE Transactions on Wireless Communications IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2021-01-12
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Introducing IEEE Collabratec IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2021-01-12
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IEEE Communications Society IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2021-01-12
Provides a listing of current committee members and society officers.
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Table of contents IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-12-09
Presents the table of contents for this issue of the publication.
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IEEE Transactions on Wireless Communications IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-12-09
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Table of contents IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-11-11
Presents the table of contents for this issue of the publication.
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IEEE Transactions on Wireless Communications IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-11-11
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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IEEE Communications Society IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-11-11
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Predictive Deployment of UAV Base Stations in Wireless Networks: Machine Learning Meets Contract Theory IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-10-12 Qianqian Zhang; Walid Saad; Mehdi Bennis; Xing Lu; Mérouane Debbah; Wangda Zuo
In this paper, a novel framework is proposed to enable a predictive deployment of unmanned aerial vehicles (UAVs) as temporary base stations (BSs) to complement ground cellular systems in face of downlink traffic overload. First, a novel learning approach, based on the weighted expectation maximization (WEM) algorithm, is proposed to estimate the user distribution and the downlink traffic demand. Next
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Table of contents IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-10-08
Presents the table of contents for this issue of the publication.
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IEEE Transactions on Wireless Communications IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-10-08
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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IEEE Communications Society IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-10-08
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Experimental Investigation of Frequency Domain Channel Extrapolation in Massive MIMO Systems for Zero-Feedback FDD IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-10-09 Thomas Choi; François Rottenberg; Jorge Gómez-Ponce; Akshay Ramesh; Peng Luo; Charlie Jianzhong Zhang; Andreas F. Molisch
Estimating downlink (DL) channel state information (CSI) in frequency division duplex (FDD) massive multi-input multi-output (MIMO) systems generally requires downlink pilots and feedback overheads. Accordingly, this paper investigates the feasibility of zero-feedback FDD massive MIMO systems based on channel extrapolation. We use the high-resolution parameter estimation (HRPE), specifically the space-alternating
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Throughput Maximization of Mixed FSO/RF UAV-Aided Mobile Relaying With a Buffer IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-10-08 Ju-Hyung Lee; Ki-Hong Park; Young-Chai Ko; Mohamed-Slim Alouini
In this paper, we investigate a mobile relaying system assisted by an unmanned aerial vehicle (UAV) with a finite size of the buffer. Under the buffer size limit and delay constraints at the UAV relay, we consider a dual-hop mixed free-space optical/radio frequency (FSO/RF) relaying system (i.e., the source-to-relay and relay-to-destination links employ FSO and RF links, respectively). Taking an imbalance
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Opportunistic Access Point Selection for Mobile Edge Computing Networks IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-10-08 Junjuan Xia; Lisheng Fan; Nan Yang; Yansha Deng; Trung Q. Duong; George K. Karagiannidis; Arumugam Nallanathan
In this paper, we investigate a mobile edge computing (MEC) network with two computational access points (CAPs), where the source is equipped with multiple antennas and it has some computational tasks to be accomplished by the CAPs through Nakagami- $m$ distributed wireless links. Since the MEC network involves both communication and computation, we first define the outage probability by taking into
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Energy Efficient Artificial Noise-Aided Precoding Designs for Secured Visible Light Communication Systems IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-10-07 Thanh V. Pham; Anh T. Pham
Physical layer security (PLS) has recently gained a lot of attention in the research and development of visible light communication (VLC). In this article, we study the designs of PLS in VLC systems in the presence of multiple unauthorized users (i.e. eavesdroppers) using artificial noise (AN)-aided precoding. The design objective focuses on minimizing the total transmit power subject to specific constraints
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LACO: A Latency-Driven Network Slicing Orchestration in Beyond-5G Networks IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-10-07 Lanfranco Zanzi; Vincenzo Sciancalepore; Andres Garcia-Saavedra; Hans Dieter Schotten; Xavier Costa-Pérez
Network Slicing is expected to become a game changer in the upcoming 5G networks and beyond, enlarging the telecom business ecosystem through still-unexplored vertical industry profits. This implies that heterogeneous service level agreements (SLAs) must be guaranteed per slice given the multitude of predefined requirements. In this paper, we pioneer a novel radio slicing orchestration solution that
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MmWave M2M Networks: Improving Delay Performance of Relaying IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-10-06 Ziqi Chen; David Smith
For future wireless networks, applications such as Industrial Internet of Things are strictly delay-sensitive. Meanwhile, millimeter-wave (mmWave) communication is a promising means to provide ultra-high data rate and ultra-low latency services to massive number of devices. In order to minimize uplink end-to-end delay in such machine-to-machine (M2M) mmWave communications, we investigate buffer-aided
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EVM-Constrained and Mask-Compliant MIMO-OFDM Spectral Precoding IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-10-06 Shashi Kant; Mats Bengtsson; Gabor Fodor; Bo Göransson; Carlo Fischione
Spectral precoding is a promising technique to suppress out-of-band emissions and comply with leakage constraints over adjacent frequency channels and with mask requirements on the unwanted emissions. However, spectral precoding may distort the original data vector, which is formally expressed as the error vector magnitude (EVM) between the precoded and original data vectors. Notably, EVM has a deleterious
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Age of Information Optimized MAC in V2X Sidelink via Piggyback-Based Collaboration IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-10-06 Fei Peng; Zhiyuan Jiang; Shunqing Zhang; Shugong Xu
Real-time status update in future vehicular networks is vital to enable control-level cooperative autonomous driving. Cellular Vehicle-to-Everything (C-V2X), as one of the most promising vehicular wireless technologies, adopts a Semi-Persistent Scheduling (SPS) based Medium-Access-Control (MAC) layer protocol for its sidelink communications. Despite the recent and ongoing efforts to optimize SPS, very
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Content Caching Oriented Popularity Prediction: A Weighted Clustering Approach IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-10-06 Qi Chen; Wei Wang; F. Richard Yu; Meixia Tao; Zhaoyang Zhang
Content popularity prediction plays an important role on proactive content caching. Different to most of the existing works which focus on improving the popularity prediction accuracy, in this article, we consider the content caching oriented popularity prediction through a weighted clustering approach in order to improve the caching performance. We formulate the loss of the cache hit ratio as the
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A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-10-01 Mingzhe Chen; Zhaohui Yang; Walid Saad; Changchuan Yin; H. Vincent Poor; Shuguang Cui
In this article, the problem of training federated learning (FL) algorithms over a realistic wireless network is studied. In the considered model, wireless users execute an FL algorithm while training their local FL models using their own data and transmitting the trained local FL models to a base station (BS) that generates a global FL model and sends the model back to the users. Since all training
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A Note on Decoding Order in User Grouping and Power Optimization for Multi-Cell NOMA With Load Coupling IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-10-01 Lei You; Di Yuan
In this technical note, we present a new theoretical result for multi-cell non-orthogonal multiple access (NOMA). For multi-cell scenarios, a so-called load-coupling model has been proposed earlier to characterize the presence of mutual interference for NOMA, and the optimization process relies on the use of fixed-point iterations across cells. One difficulty here is that the order of decoding for
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A General 3D Space-Time-Frequency Non-Stationary Model for 6G Channels IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-10-01 Ziwei Huang; Xiang Cheng
In this paper, a general three-dimensional (3D) space-time-frequency non-stationary model is proposed for sixth generation (6G) channels. From the proposed model, a novel method, so-called correlated cluster based birth-death (BD) process method, is developed to efficiently and jointly mimic the 3D channel space-time-frequency non-stationarity. In this developed method, the frequency non-stationarity
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Analysis of Random Access in NB-IoT Networks With Three Coverage Enhancement Groups: A Stochastic Geometry Approach IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-10-01 Yan Liu; Yansha Deng; Nan Jiang; Maged Elkashlan; Arumugam Nallanathan
NarrowBand-Internet of Things (NB-IoT) is a new 3GPP radio access technology designed to provide better coverage for Low Power Wide Area (LPWA) networks. To provide reliable connections with extended coverage, a repetition transmission scheme and up to three Coverage Enhancement (CE) groups are introduced into NB-IoT during both Random Access CHannel (RACH) procedure and data transmission procedure
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Learnable MIMO Detection Networks Based on Inexact ADMM IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-10-01 Minsik Kim; Daeyoung Park
In this article, we present a new iterative MIMO detection algorithm based on inexact alternating direction method of multipliers. Each iteration is considered as a neural network layer with learnable parameters, which are optimized by the stochastic gradient descent algorithm with a training data set of the received vectors and the ground truth transmitted signals. Numerical results show that the
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Data-Aided Doppler Compensation for High-Speed Railway Communications Over mmWave Bands IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-30 Zijun Gong; Cheng Li; Fan Jiang; Moe Z. Win
Millimeter wave communications show great potentials in many applications, one of which is the high-speed railway(HSR) communication system. However, a major challenge is the Doppler effect caused by the relative-movement between the train and the base station (BS), which leads to fast channel variation. To compensate for the Doppler shift, an accurate channel model is indispensable, and the far-field
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Throughput Maximization With an Average Age of Information Constraint in Fading Channels IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-29 Rajshekhar Vishweshwar Bhat; Rahul Vaze; Mehul Motani
In emerging fifth generation and beyond wireless communication systems, communication nodes are expected to support information flows that are freshness-sensitive , along with broadband traffic having high data rate requirements. Freshness-sensitive flows, where freshness is quantified by a metric called the age of information (AoI), are naturally assigned priority over resources. Motivated by this
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Distributed Parameter Detection in Massive MIMO Wireless Sensor Networks Relying on Imperfect CSI IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-29 Apoorva Chawla; Ajay Satyakumar Sarode; Aditya K. Jagannatham; Lajos Hanzo
Distributed parameter detection is conceived for massive multiple-input multiple-output (MIMO) wireless sensor networks (WSNs), where multiple sensors collaborate to detect the presence/ absence of a spatially correlated parameter. Neyman-Pearson (NP) and generalized likelihood ratio test (GLRT)-based detectors are developed at the fusion center (FC) for known and unknown parameter detection scenarios
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Joint Task Assignment and Spectrum Allocation in Heterogeneous UAV Communication Networks: A Coalition Formation Game-Theoretic Approach IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-28 Jiaxin Chen; Qihui Wu; Yuhua Xu; Nan Qi; Xin Guan; Yuli Zhang; Zhen Xue
Coalition structure is an efficient networking architecture for task implementation in unmanned aerial vehicle (UAV) networks. However, both the formation of coalition and the spectrum resource for intra-coalition communication affect the reconnaissance performance. In this paper, we investigate a cooperative reconnaissance and spectrum access (CRSA) scheme for task-driven heterogeneous coalition-based
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Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-28 Wenqi Shi; Sheng Zhou; Zhisheng Niu; Miao Jiang; Lu Geng
In federated learning (FL), devices contribute to the global training by uploading their local model updates via wireless channels. Due to limited computation and communication resources, device scheduling is crucial to the convergence rate of FL. In this paper, we propose a joint device scheduling and resource allocation policy to maximize the model accuracy within a given total training time budget
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A Novel Method for Scheduling of Wireless Ad Hoc Networks in Polynomial Time IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-28 Alper Köse; Hakan Gökcesu; Noyan Evirgen; Kaan Gökcesu; Muriel Médard
In this article, we address the scheduling problem in wireless ad hoc networks by exploiting the computational advantage that comes when scheduling problems can be represented by claw-free conflict graphs where we consider a wireless broadcast medium. It is possible to formulate a scheduling problem of broadcast transmissions as finding the maximum weighted independent set (MWIS) in the conflict graph
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Max-Min Fair Beamforming for Cooperative Multigroup Multicasting With Rate-Splitting IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-25 Ahmet Zahid Yalçın; Yavuz Yapıcı
The demand of massive access to the same multimedia content at the same time is one major challenge for next-generation cellular networks in densely-packed urban areas. The content-aware multicast transmission strategies provide promising solutions to such use cases involving many mobile users trying to fetch the same data. In this work, we consider multigroup multicast transmission with a common message
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Revenue Maximization for Content-Oriented Wireless Caching Networks (CWCNs) With Repair and Recommendation Considerations IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-25 Yaru Fu; Quan Yu; Tony Q. S. Quek; Wanli Wen
To maintain reliability of content-oriented wireless caching networks (CWCNs), repair mechanism is of necessity to be considered due to the natural that storage entities are individually unreliable and thus subject to failure on account of hardware error, network congestion or software updating. Meanwhile, recommendation is tunable for edge caching performance improvement. In this paper, we study the
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A Channel Measurement Campaign for mmWave Communication in Industrial Settings IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-25 Cristina Cano; Gek Hong Sim; Arash Asadi; Xavier Vilajosana
Industry 4.0 relies heavily on wireless technologies. Energy efficiency and device cost have played a significant role in the initial design of such wireless systems for industry automation. However, high reliability, high throughput, and low latency are also key for certain sectors such as the manufacturing industry. In this sense, existing wireless solutions for industrial settings are limited. Emerging
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Exploiting Diversity for Ultra-Reliable and Low-Latency Wireless Control IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-25 Saeed R. Khosravirad; Harish Viswanathan; Wei Yu
This paper introduces a wireless communication protocol for industrial control systems that uses channel quality awareness to dynamically create network-device cooperation and assist the nodes in momentary poor channel conditions. To that point, channel state information is used to identify nodes with strong and weak channel conditions. We show that strong nodes in the network are best to be served
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Integrated Sensing, Computation and Communication in B5G Cellular Internet of Things IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-25 Qiao Qi; Xiaoming Chen; Caijun Zhong; Zhaoyang Zhang
In this article, we investigate the issue of integrated sensing, computation and communication (SCC) in beyond fifth-generation (B5G) cellular internet of things (IoT) networks. According to the characteristics of B5G cellular IoT, a comprehensive design framework integrating SCC is put forward for massive IoT. For sensing, highly accurate sensed information at IoT devices are sent to the base station
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Intelligent Reflecting Surface Aided Pilot Contamination Attack and Its Countermeasure IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-25 Ke-Wen Huang; Hui-Ming Wang
Pilot contamination attack (PCA) in a time division duplex wireless communication system is considered, where an eavesdropper (Eve) attacks the reverse pilot transmission phase in order to wiretap the data transmitted from a transmitter, Alice, to a receiver, Bob. We propose a new PCA scheme for Eve, wherein Eve does not emit any signal by itself but uses an intelligent reflecting surface (IRS) to
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Mobility-Aware Joint Task Scheduling and Resource Allocation for Cooperative Mobile Edge Computing IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-25 Umber Saleem; Yu Liu; Sobia Jangsher; Yong Li; Tao Jiang
Mobile edge computing (MEC) has emerged as a new paradigm to assist low latency services by enabling computation offloading at the network edge. Nevertheless, human mobility can significantly impact the offloading decision and performance in MEC networks. In this context, we propose device-to-device (D2D) cooperation based MEC to expedite the task execution of mobile user by leveraging proximity-aware
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Deep Reinforcement Learning-Based Intelligent Reflecting Surface for Secure Wireless Communications IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-25 Helin Yang; Zehui Xiong; Jun Zhao; Dusit Niyato; Liang Xiao; Qingqing Wu
In this paper, we study an intelligent reflecting surface (IRS)-aided wireless secure communication system, where an IRS is deployed to adjust its reflecting elements to secure the communication of multiple legitimate users in the presence of multiple eavesdroppers. Aiming to improve the system secrecy rate, a design problem for jointly optimizing the base station (BS)’s beamforming and the IRS’s reflecting
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Two-Way AF MIMO Multi-Relay System Design Using MMSE-DFE Techniques IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-25 Yang Lv; Zhiqiang He; Yue Rong
Targeting at a better design of the analogue network coding (ANC)-assisted two-way amplify-and-forward (AF) multiple-input multiple-output (MIMO) multi-relay communication systems, we bring in the nonlinear minimal mean-squared error (MMSE)-decision feedback equalization (DFE) receiving technique to jointly optimize the source precoding, relay amplifying, feed-forward and feedback matrices. Under the
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Wireless Data Acquisition for Edge Learning: Data-Importance Aware Retransmission IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-25 Dongzhu Liu; Guangxu Zhu; Qunsong Zeng; Jun Zhang; Kaibin Huang
By deploying machine-learning algorithms at the network edge, edge learning can leverage the enormous real-time data generated by billions of mobile devices to train AI models, which enable intelligent mobile applications. In this emerging research area, one key direction is to efficiently utilize radio resources for wireless data acquisition to minimize the latency of executing a learning task at
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Wireless Communications With Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-25 Wankai Tang; Ming Zheng Chen; Xiangyu Chen; Jun Yan Dai; Yu Han; Marco Di Renzo; Yong Zeng; Shi Jin; Qiang Cheng; Tie Jun Cui
Reconfigurable intelligent surfaces (RISs) comprised of tunable unit cells have recently drawn significant attention due to their superior capability in manipulating electromagnetic waves. In particular, RIS-assisted wireless communications have the great potential to achieve significant performance improvement and coverage enhancement in a cost-effective and energy-efficient manner, by properly programming
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Distributed User Association and Resource Allocation Algorithms for Three Tier HetNets IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-24 Swaroop Gopalam; Stephen Vaughan Hanly; Philip Whiting
In this article, we consider joint optimization of user association and resource allocation in three tier HetNets. We formulate the objective of minimizing the resources required to clear a given set of files, as a linear program. We show that the optimal user association is determined by a rate-biasing rule, where a bias value is associated with each BS. We show that each rate-bias value crucially
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Cox Models for Vehicular Networks: SIR Performance and Equivalence IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-22 Jeya Pradha Jeyaraj; Martin Haenggi
We introduce a general framework for the modeling and analysis of vehicular networks by defining street systems as random 1D subsets of $\mathbb {R}^{2}$ . The street system, in turn, specifies the random intensity measure of a Cox process of vehicles, i.e., vehicles form independent 1D Poisson point processes on each street. Models in this Coxian framework can characterize streets of different lengths
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Telling Secrets in the Light: An Efficient Key Extraction Mechanism Via Ambient Light IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-22 Youjing Lu; Fan Wu; Qianyi Huang; Shaojie Tang; Guihai Chen
Due to the benefits of small latency, low energy consumption and increased data rate, device-to-device (D2D) communication is recognized as one of the promising techniques in the 5G era. However, the distributed nature of D2D communication makes it non-trivial to generate symmetric keys for the involving parties. Many efforts have been devoted to dynamically generate cryptographic keys for D2D communication
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Beamforming Optimization for MIMO Wireless Power Transfer With Nonlinear Energy Harvesting: RF Combining Versus DC Combining IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-22 Shanpu Shen; Bruno Clerckx
In this article, we study the multiple-input and multiple-output (MIMO) wireless power transfer (WPT) system so as to enhance the output DC power of the rectennas. To that end, we revisit the rectenna nonlinearity considering multiple receive antennas. Two combining schemes for multiple rectennas at the receiver, DC and RF combinings, are modeled and analyzed. For DC combining, we optimize the transmit
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Short-Packet Transmission via Variable-Length Codes in the Presence of Noisy Stop Feedback IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-22 Johan Östman; Rahul Devassy; Giuseppe Durisi; Erik G. Ström
We present an upper bound on the error probability achievable using variable-length stop feedback (VLSF) codes, for a fixed size of the information payload and a given constraint on the maximum latency and the average service time. Differently from the bound proposed in Polyanskiy et al. (2011), which pertains to the scenario in which the stop signal is sent over a noiseless feedback channel, our bound
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Throughput Optimization for Grant-Free Multiple Access With Multiagent Deep Reinforcement Learning IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-22 Rui Huang; Vincent W.S. Wong; Robert Schober
Grant-free multiple access (GFMA) is a promising paradigm to efficiently support uplink access of Internet of Things (IoT) devices. In this paper, we propose a deep reinforcement learning (DRL)-based pilot sequence selection scheme for GFMA systems to mitigate potential pilot sequence collisions. We formulate a pilot sequence selection problem for aggregate throughput maximization in GFMA systems with
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Design of a Heterogeneous Cellular Network With a Wireless Backhaul IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-22 Meghana Bande; Venugopal V. Veeravalli
The downlink of a two-layered heterogeneous network is studied with macro basestations (MBs), small-cell basestations (SBs) that act as half-duplex analog relays, and mobile terminals (MTs). The first layer is a wireless backhaul layer between MBs and SBs, and the second is the transmission layer between SBs and MTs. The layers use the same time/frequency resources for communication, limiting the maximum
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Energy Management and Trajectory Optimization for UAV-Enabled Legitimate Monitoring Systems IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-21 Shuyan Hu; Qingqing Wu; Xin Wang
Thanks to their quick placement and high flexibility, unmanned aerial vehicles (UAVs) can be very useful in the current and future wireless communication systems. With a growing number of smart devices and infrastructure-free communication networks, it is necessary to legitimately monitor these networks to prevent crimes. In this paper, a novel framework is proposed to exploit the flexibility of the
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Stochastic Delay Analysis for Satellite Data Relay Networks With Heterogeneous Traffic and Transmission Links IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-21 Yan Zhu; Di Zhou; Min Sheng; Jiandong Li; Zhu Han
The satellite data relay networks (SDRNs) hold great promise in 6G communications for the timely offloading of the global traffic. Since the delay performance is regarded as one of the most important metrics reflecting the offloading efficiency, studying its relationship with network parameters becomes really essential to the development and application of the SDRN. However, the complex data offloading
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Random Network Coding Enabled Routing Protocol in Unmanned Aerial Vehicle Networks IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-21 Hao Song; Lingjia Liu; Scott M. Pudlewski; Elizabeth Serena Bentley
Unmanned aerial vehicles (UAVs) are becoming important communication infrastructures. One major challenge of communications with UAV networks is the routing protocol design. Due to the inherent characteristics (e.g., dynamic network topology and limited UAV device capabilities), it is difficult to directly apply existing routing protocols that utilize network topology information and routing path explorations
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Analysis and Optimization of Fog Radio Access Networks With Hybrid Caching: Delay and Energy Efficiency IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-18 Yanxiang Jiang; Chaoyi Wan; Meixia Tao; Fu-Chun Zheng; Pengcheng Zhu; Xiqi Gao; Xiaohu You
In this article, delay and energy efficiency (EE) are investigated in fog radio access networks (F-RANs) with hybrid caching. With multiple caching and transmission strategies, hybrid caching offers great flexibility for file placement and file fetching. By using tools from stochastic geometry, we firstly derive tractable expressions of delay for coded cached, non-partitioned cached and uncached files
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3D Channel Characterization and Performance Analysis of UAV-Assisted Millimeter Wave Links IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-18 Mohammad Taghi Dabiri; Mohsen Rezaee; Vahid Yazdanian; Behrouz Maham; Walid Saad; Choong Seon Hong
In this article, the performance of UAV-based mmW links is investigated when UAVs are equipped with square array antennas. The 3GPP antenna propagation patterns are used to model the square array antenna. It is shown that the square array antenna is sensitive to both horizontal and vertical angular vibrations of UAVs. In order to explore the relationship between the vibrations of UAVs and their antenna
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Overhead-Aware Design of Reconfigurable Intelligent Surfaces in Smart Radio Environments IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-18 Alessio Zappone; Marco Di Renzo; Farshad Shams; Xuewen Qian; Mérouane Debbah
Reconfigurable intelligent surfaces have emerged as a promising technology for future wireless networks. Given that a large number of reflecting elements is typically used and that the surface has no signal processing capabilities, a major challenge is to cope with the overhead that is required to estimate the channel state information and to report the optimized phase shifts to the surface. This issue
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Deep Learning-Based Edge Caching in Fog Radio Access Networks IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-18 Yanxiang Jiang; Haojie Feng; Fu-Chun Zheng; Dusit Niyato; Xiaohu You
In this article, the edge caching policy in fog radio access networks (F-RANs) is optimized via deep learning. Considering that it is hard for fog access points (F-APs) to collect sufficient data of massive content features, our proposed edge caching policy only utilizes the number of requests and user location. In an offline phase, we propose to learn the corresponding popularity prediction model
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Belief Propagation for Energy Efficiency Maximization in Wireless Heterogeneous Networks IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-17 Sang Hyun Lee; Mintae Kim; Hunmin Shin; Inkyu Lee
In this article, we study an energy efficient management of two-tier heterogeneous cellular networks (HetNets) which consist of one macro base station (BS) and multiple micro base stations. This article presents a distributed user association algorithm that maximizes the network-wide energy efficiency (EE) in HetNets. A subset of BSs that support only a small number of users can be turned off to save
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Secure Radar-Communication Systems With Malicious Targets: Integrating Radar, Communications and Jamming Functionalities IEEE Trans. Wirel. Commun. (IF 6.779) Pub Date : 2020-09-17 Nanchi Su; Fan Liu; Christos Masouros
This article studies the physical layer security in a multiple-input-multiple-output (MIMO) dual-functional radar-communication (DFRC) system, which communicates with downlink cellular users and tracks radar targets simultaneously. Here, the radar targets are considered as potential eavesdroppers which might eavesdrop the information from the communication transmitter to legitimate users. To ensure