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Table of contents IEEE Wirel. Commun. Lett. (IF 4.66) Pub Date : 2021-01-11
Presents the table of contents for this issue of the publication.
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IEEE Wireless Communications Letters IEEE Wirel. Commun. Lett. (IF 4.66) Pub Date : 2021-01-11
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 Information IEEE Wirel. Commun. Lett. (IF 4.66) Pub Date : 2021-01-11
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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2020 GRS Year End Index IEEE Geosci. Remote Sens. Mag. (IF 13.0) Pub Date : 2021-01-08
This index covers all technical items - papers, correspondence, reviews, etc. - that appeared in this periodical during the year, and items from previous years that were commented upon or corrected in this year. Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name
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Superior Iterative Detection for Co-Channel Interference in Multibeam Satellite Systems IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-09 Bassel F. Beidas; Rohit Iyer Seshadri
Aggressive frequency reuse alleviates the frequency-spectrum shortage in multibeam satellite systems targeting multi-Terabits-per-second throughput but creates harsh co-channel interference (CCI) environment. For forward-link, state-of-the-art receivers at user terminals assume memoryless CCI to avoid exponential increase in complexity. However, memory effects of CCI are inevitable, arising when co-channel
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Front Cover IEEE Geosci. Remote Sens. Mag. (IF 13.0) Pub Date : 2020-12-15
Presents the front cover for this issue of the publication.
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GRS Journals Impact Factor IEEE Geosci. Remote Sens. Mag. (IF 13.0) Pub Date : 2020-12-15
Reports on the GRS society journals and their impact factors.
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Table of Contents IEEE Geosci. Remote Sens. Mag. (IF 13.0) Pub Date : 2020-12-15
Presents the table of contents for this issue of the publication.
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Staff List IEEE Geosci. Remote Sens. Mag. (IF 13.0) Pub Date : 2020-12-15
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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Welcome to the December Issue [From the Editor] IEEE Geosci. Remote Sens. Mag. (IF 13.0) Pub Date : 2020-12-15 James L. Garrison
Presents the introductory editorial for this issue of the publication.
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2020: A Year of Challenges and Triumphs [President's Message] IEEE Geosci. Remote Sens. Mag. (IF 13.0) Pub Date : 2020-12-15 Paolo Gamba
Presents the President’s message for this issue of the publication.
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Satellite Remote Sensing Data for Decision Support in Emerging Agricultural Economies: How Satellite Data Can Transform Agricultural Decision Making [Perspectives] IEEE Geosci. Remote Sens. Mag. (IF 13.0) Pub Date : 2020-12-15 Jennifer L. Jewiss; Molly E. Brown; Vanessa M. Escobar
This article considers the tremendous potential for satellite remote sensing information delivered via mobile digital applications to improve decision making in emerging agricultural economies. Earth observations have been available for use in weather and other models to support decision making since the late 1970s, with the launch of the advanced very-high-resolution radiometer and the Landsat sensors
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Josa Manuel Bioucas-Dias (1960-2020) [In Memoriam] IEEE Geosci. Remote Sens. Mag. (IF 13.0) Pub Date : 2020-12-15 Mario A.T. Figueiredo; Antonio Plaza
Recounts the career and contributions of Josa Manuel Bioucas-Dias.
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Jakob J. van Zyl (1957-2020) [In Memoriam] IEEE Geosci. Remote Sens. Mag. (IF 13.0) Pub Date : 2020-12-15
Recounts the career and contributions of Jakob van Zyl.
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ERA: A Data Set and Deep Learning Benchmark for Event Recognition in Aerial Videos [Software and Data Sets] IEEE Geosci. Remote Sens. Mag. (IF 13.0) Pub Date : 2020-12-15 Lichao Mou; Yuansheng Hua; Pu Jin; Xiao Xiang Zhu
As a result of the increasing use of unmanned aerial vehicles (UAVs), large volumes of aerial videos have been produced. It is unrealistic for humans to screen such big data and understand the contents. Hence, methodological research on the automatic understanding of UAV videos is of paramount importance (Figure 1). In this article, we introduce a novel problem of event recognition in unconstrained
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Report on the 2020 IEEE GRSS Data Fusion Contest-Global Land Cover Mapping With Weak Supervision [Technical Committees] IEEE Geosci. Remote Sens. Mag. (IF 13.0) Pub Date : 2020-12-15 Naoto Yokoya; Pedram Ghamisi; Ronny Hansch; Michael Schmitt
The Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS) has organized the annual Data Fusion Contest (DFC) since 2006. The contest aims to establish new benchmarks for scientific challenges in remote sensing image analysis by promoting the use of multimodal data, leveraging new sensors as well as big data, and facilitating the emergence
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Digital Elevation Models: An Important Source of Data for Geoscientists [Education] IEEE Geosci. Remote Sens. Mag. (IF 13.0) Pub Date : 2020-12-15 B.S. Daya Sagar
Satellite technology has revolutionized the way we acquire terrestrial surface data. Such remotely sensed terrestrial data have made it possible to generate digital elevation models (DEMs) at multiple spatial and temporal scales by exploiting stereographic, interferometric, radargrammetric, and lidar principles [1]-[10]. Schemes adapted to generate DEMs are hugely successful, and, as such, DEM generation
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IEEE GRSS Brazil Chapter: Status and Activities in 2019 [Chapters] IEEE Geosci. Remote Sens. Mag. (IF 13.0) Pub Date : 2020-12-16 Veraldo Liesenberg; Jose Marcato; Raul Queiroz Feitosa; Alessandra Rodrigues Gomes; Jefersson Alex dos Santos; Rafael Lemos Paes; Edson A. Mitishita; Antonio M.G. Tommaselli; Fatima N. Sombra de Sombra; Alejandro C. Frery
Reports on GRSS society Chapter activities in Brazil.
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Editorial IEEE Trans. Broadcast. (IF 3.419) Pub Date : 2020-12-08 Ralph Hogan
I would like to once again express my concern and support for all the members of the IEEE Broadcast Technology Society (BTS) community and others affected by the ongoing global health crisis. The health and safety of the members of our community is our first priority.
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2020 Scott Helt Memorial Award For the Best Paper Published in the IEEE Transactions on Broadcasting IEEE Trans. Broadcast. (IF 3.419) Pub Date : 2020-12-08 Manuel Fuentes; De Mi; Hongzhi Chen; Eduardo Garro; Jose Luis Carcel; David Vargas; Belkacem Mouhouche; David Gomez-Barquero
The 2020 Scott Helt Memorial Award was awarded to Manuel Fuentes, Hongzhi Chen, Eduardo Garro, Jose Luis Carcel, David Vargas, Belkacem Mouhouche, David Gomez-Barquero for their paper, “Physical Layer Performance Evaluation of LTE-Advanced Pro Broadcast and ATSC 3.0 Systems.” The papers appeared in the IEEE Transactions on Broadcasting, vol. 65, no. 3, pp. 477–488, September 2019. The purpose of the
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Perceptually Weighted Mean Squared Error Based Rate-Distortion Optimization for HEVC IEEE Trans. Broadcast. (IF 3.419) Pub Date : 2020-10-20 Xiuzhe Wu; Hanli Wang; Sudeng Hu; Sam Kwong; C.-C. Jay Kuo
The process of rate-distortion (RD) optimization plays a key role for video coding, which aims to achieve a tradeoff between compression efficiency and video quality distortion. Although the conventional objective distortion metric mean squared error performs well in computational complexity, it is not always in accordance with the perceptual quality perceived by human visual system (HVS). Taking the
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Table of contents IEEE Commun. Surv. Tutor. (IF 23.7) Pub Date : 2020-11-20
Presents the table of contents for this issue of the publication.
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Editorial: Fourth Quarter 2020 IEEE Communications Surveys and Tutorials IEEE Commun. Surv. Tutor. (IF 23.7) Pub Date : 2020-11-20 Ying-Dar Lin
I Welcome you to the fourth issue of the IEEE Communications Surveys and Tutorials in 2020. This issue includes 22 papers covering different aspects of communication networks. In particular, these articles survey and tutor various issues in “Wireless Communications,” “5G and Vehicular Communications,” “Internet of Things,” “Network Security,” and “Miscellaneous.” There are three papers in the miscellaneous
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Table of contents IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-11-17
Presents the table of contents for this issue of the publication.
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IEEE Communications Society IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-11-17
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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TechRxiv: Share Your Preprint Research with the World! IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-11-17
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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IEEE Communications Society IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-11-17
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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Blank page IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-11-17
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Table of contents IEEE Wirel. Commun. Lett. (IF 4.66) Pub Date : 2020-11-06
Presents the table of contents for this issue of the publication.
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IEEE Wireless Communications Letters IEEE Wirel. Commun. Lett. (IF 4.66) Pub Date : 2020-11-06
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 Information IEEE Wirel. Commun. Lett. (IF 4.66) Pub Date : 2020-11-06
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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Intelligent Reflecting Surface-Assisted Cognitive Radio System IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-22 Jie Yuan; Ying-Chang Liang; Jingon Joung; Gang Feng; Erik G. Larsson
Cognitive radio (CR) is an effective solution to improve the spectral efficiency (SE) of wireless communications by allowing the secondary users (SUs) to share spectrum with primary users (PUs). Meanwhile, intelligent reflecting surface (IRS), also known as reconfigurable intelligent surface (RIS), has been recently proposed as a promising approach to enhance energy efficiency (EE) of wireless communication
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Optimization of Wireless Relaying With Flexible UAV-Borne Reflecting Surfaces IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-21 Taniya Shafique; Hina Tabassum; Ekram Hossain
This paper presents a theoretical framework to analyze the performance of an integrated unmanned aerial vehicle (UAV)-intelligent reflecting surface (IRS) relaying system in which the IRS provides an additional degree of freedom combined with the flexible deployment of full-duplex UAV to enhance communication between ground nodes. Our framework considers three different transmission modes: (i) UAV-only
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Joint Beamforming Design in Multi-Cluster MISO NOMA Reconfigurable Intelligent Surface-Aided Downlink Communication Networks IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-21 Yiqing Li; Miao Jiang; Qi Zhang; Jiayin Qin
Considering reconfigurable intelligent surfaces (RISs), we study a multi-cluster multiple-input-single-output (MISO) non-orthogonal multiple access (NOMA) downlink communication network. In the network, RISs assist the communication from the base station (BS) to all users by passive beamforming. Our goal is to minimize the total transmit power by jointly optimizing the active beamforming matrices at
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Scheduling Observers Over a Shared Channel With Hard Delivery Deadlines IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-20 Rebal Jurdi; Jeffrey G. Andrews; Robert W. Heath
We abstract the core logical functions from applications that require ultra-low-latency wireless communications to provide a novel definition for reliability. Real-time applications — such as intelligent transportation, remote surgery, and industrial automation — involve a significant element of control and decision making. Such systems involve three logical components: observers (e.g. sensors) measuring
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Secure Directional Modulation With Few-Bit Phase Shifters: Optimal and Iterative-Closed-Form Designs IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-20 Zhongxiang Wei; Christos Masouros; Fan Liu
In this paper, directional modulation (DM) is investigated to enhance physical layer security. Practical transmitter designs are exploited under imperfect channel state information (CSI) and hardware constraints, such as finite-resolution phase shifters (PSs) and per-antenna power budget. Tailored for the practical issues in realizing DM, a series of practical scenarios are investigated. Starting from
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Coded Computing for Resilient, Secure, and Privacy-Preserving Distributed Matrix Multiplication IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-19 Qian Yu; A. Salman Avestimehr
Coded computing is a new framework to address fundamental issues in large scale distributed computing, by injecting structured randomness and redundancy. We first provide an overview of coded computing and summarize some recent advances. Then we focus on distributed matrix multiplication and consider a common scenario where each worker is assigned a fraction of the multiplication task. In particular
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An Analytical Model for CBAP Allocations in IEEE 802.11ad IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-19 Chiara Pielli; Tanguy Ropitault; Nada Golmie; Michele Zorzi
The IEEE 802.11ad standard extends WiFi operation to the millimeter wave frequencies, and introduces novel features concerning both the physical (PHY) and Medium Access Control (MAC) layers. The hybrid MAC layer provides for two different kinds of resource allocations: Contention Based Access Periods (CBAPs) and contention-free Service Periods (SPs). In this paper, we propose a Markov Chain model to
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Share Your Preprint Research with the World! IEEE Geosci. Remote Sens. Mag. (IF 13.0) Pub Date : 2020-10-15
Advertisement: TechRxiv is a free preprint server for unpublished research in electrical engineering, computer science, and related technology. Powered by IEEE, TechRxiv provides researchers across a broad range of fields the opportunity to share early results of their work ahead of formal peer review and publication. Researchers are asked to upload their unpublished research.
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Hypercube-Based SNR-Adaptive Multidimensional Constellation Design for Uplink SCMA Systems IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-16 Monirosharieh Vameghestahbanati; Ian D. Marsland; Ramy H. Gohary; Halim Yanikomeroglu
Designing multidimensional constellations (MdCs) is an integral part of sparse code multiple access (SCMA). Since the optimal maximum a posteriori (MAP) receiver for SCMA is too complex in most applications, one highly popular technique is the near-optimal message passing algorithm (MPA), where its performance improves with increasing the signal-to-noise ratio (SNR) and the number of iterations. When
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Transmit Covariance and Waveform Optimization for Non-Orthogonal CP-FBMA System IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-16 Yuhao Qi; Jian Dang; Zaichen Zhang; Liang Wu; Yongpeng Wu
Filter bank multiple access (FBMA) without subbands orthogonality has been proposed as a new candidate waveform to better meet the requirements of future wireless communication systems and scenarios. It has the ability to process directly the complex symbols without any fancy preprocessing. Along with the usage of cyclic prefix (CP) and wide-banded subband design, CP-FBMA can further improve the peak-to-average
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Binary Golay Spreading Sequences and Reed-Muller Codes for Uplink Grant-Free NOMA IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-16 Nam Yul Yu
Non-orthogonal multiple access (NOMA) is an emerging technology for massive connectivity in machine-type communications (MTC). In code-domain NOMA, non-orthogonal spreading sequences are uniquely assigned to all devices, where active ones attempt a grant-free access to a system. In this paper, we study a set of user-specific, non-orthogonal, binary spreading sequences for uplink grant-free NOMA. Based
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Interference Exploitation Precoding for Multi-Level Modulations: Closed-Form Solutions IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-16 Ang Li; Christos Masouros; Branka Vucetic; Yonghui Li; A. Lee Swindlehurst
We study closed-form interference-exploitation precoding for multi-level modulations in the downlink of multi-user multiple-input single-output (MU-MISO) systems. We consider two distinct cases: first, when the number of served users is not larger than the number of transmit antennas at the base station (BS), we mathematically derive the optimal precoding structure based on the Karush-Kuhn-Tucker (KKT)
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Connectivity Mode Management for User Devices in Heterogeneous D2D Networks IEEE Wirel. Commun. Lett. (IF 4.66) Pub Date : 2020-10-15 S. Sinem Kafıloğlu; Gürkan Gür; Fatih Alagöz
Device-to-Device (D2D) paradigm is one of the key enablers for boosting the energy efficiency (EE) of networks. For the actualization of EE in multi-mode heterogeneous D2D networks, resource allocation should be executed accordingly. In that regard, we study resource allocation management in heterogeneous D2D networks where there is a LEO satellite and a cellular base station (BS) with multi-mode user
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Constructing d-Robust Connected Dominating Sets in Wireless Sensor Networks With Unstable Transmission Ranges IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-14 Xinyu Liang; Jiarong Liang; Weiguang Zhang
A connected dominating set (CDS) can act as a virtual backbone (VB) in a wireless sensor network (WSN). The overhead in a WSN is usually determined by the size of the corresponding VB. However, the construction of minimum CDSs (MCDSs) has been proven to be an NP-hard problem. Thus, most researchers use approximation algorithms to find smaller CDSs. In certain applications, the transmission radii of
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A Link Quality Estimation-Based Beamforming Training Protocol for IEEE 802.11ay MU-MIMO Communications IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-14 Mun-Suk Kim; Tanguy Ropitault; Sukyoung Lee; Nada Golmie; Hany Assasa; Joerg Widmer
The multi-user multiple-input-multiple-output (MU-MIMO) beamforming training (BFT) enables an access point (AP) and multiple stations (STAs) to determine appropriate directional antenna patterns; to this end, the AP transmits multiple action frames to the STAs during the MU-MIMO BFT. However, if the antenna weight vectors (AWVs) are determined to transmit the action frames inefficiently, this could
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Optimal Load Allocation for Coded Distributed Computation in Heterogeneous Clusters IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-13 Daejin Kim; Hyegyeong Park; Jun Kyun Choi
Recently, coding has been a useful technique to mitigate stragglers’ effect in distributed computing. However, coding in this context has been mainly explored assuming homogeneous workers, although real-world clusters often consist of heterogeneous workers with different computing capabilities. The uniform load allocation without considering the heterogeneity possibly causes a significant loss in latency
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UAV-Aided Two-Way Multi-User Relaying IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-13 Zhichao Sheng; Hoang Duong Tuan; Trung Q. Duong; Lajos Hanzo
Unmanned aerial vehicle (UAV)-aided two-way relaying networks are designed, where a UAV is deployed to assist multiple pairs of users in their information exchange. There are two basic approaches for the user pairs’ information exchange within a single time slot via the UAV relay. The first approach is based on full-duplex, where all participants operate in the full-duplex mode to transmit and receive
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Direction Finding by Covariance Matrix Sparse Representation With Sensor Gain and Phase Uncertainties in Unknown Non-Uniform Noise IEEE Wirel. Commun. Lett. (IF 4.66) Pub Date : 2020-10-13 Yunfei Fang; Shengqi Zhu; Yongchan Gao
The perfectly partly calibrated antenna array is a frequently assumption in most of the existing array gain/phase calibration methods. In practice, however, the partly calibrated array is usually not available. In this letter, a tail optimization method for direction finding with unknown gains and phases in the presence of spatially non-uniform noise is proposed. Specifically, the unknown gain/phase
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A Multi-Featured Actor-Critic Relay Selection Scheme for Large-Scale Energy Harvesting WSNs IEEE Wirel. Commun. Lett. (IF 4.66) Pub Date : 2020-10-13 Tong Wang; Shiting Wu; Zhenyong Wang; Yufei Jiang; Ting Ma; Zhihua Yang
In this letter, we focus on the design of a relay selection scheme in large-scale energy-harvesting wireless sensor networks. Considering the dynamic nature required for practical networks, multiple features, including queuing state, energy level, channel quality, and location, are involved in modeling. By introducing reinforcement learning techniques, a novel relay selection scheme based on an actor-critic
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Semi-Blind Receivers for UAV M-KRST Coding MIMO Systems Based on Nested Tensor Models IEEE Wirel. Commun. Lett. (IF 4.66) Pub Date : 2020-10-13 Xi Han; Yuyu Zhao; Jiaxi Ying
In this letter, we consider the dual-hop and three-hop multiple-input multiple-output (MIMO) sensor systems using multiple Khatri-Rao space-time (M-KRST) coding at the unmanned aerial vehicles and sensor nodes. According to the tensor structure of the communication links, the signals received at the fusion center form two separate nested tensors, which satisfy a nested parallel factor (PARAFAC) model
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User Fairness in Wireless Powered Communication Networks With Non-Orthogonal Multiple Access IEEE Wirel. Commun. Lett. (IF 4.66) Pub Date : 2020-10-13 Jair A. de Carvalho; Daniel B. da Costa; L. Yang; George C. Alexandropoulos; R. Oliveira; Ugo S. Dias
This letter investigates user fairness in wireless powered communication networks (WPCNs) with non-orthogonal multiple access (NOMA) with the aim of maximizing the equal individual data rates. Initially, it is proposed the bisection method to obtain the optimal power allocation coefficients. Then, Lagrange dual-decomposition is considered for evaluating the optimal time-splitting ratio. Next, Newton’s
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Inner Bounds for the Almost Entropic Region and Network Code Construction IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-12 Sultan Alam; Satyajit Thakor; Syed Abbas
In the fields of information theory and network coding, a complete characterization of the almost entropic region is a fundamental but inherently difficult open problem. This paper focuses on the characterization of this region via explicit inner bounds, optimization of functions over this region, and network code construction. One approach to study the entropic region is to put a constraint on the
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Capacity-Approaching Polar Codes With Long Codewords and Successive Cancellation Decoding Based on Improved Gaussian Approximation IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-12 Hideki Ochiai; Patrick Mitran; H. Vincent Poor
This paper focuses on an improved Gaussian approximation (GA) based construction of polar codes with successive cancellation (SC) decoding over an additive white Gaussian noise (AWGN) channel. Arıkan proved that polar codes with low-complexity SC decoding can approach the channel capacity of an arbitrary symmetric binary-input discrete memoryless channel, provided that the code length is chosen large
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On the Transmission Probabilities in Quantum Key Distribution Systems Over FSO Links IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-12 Hui Zhao; Mohamed-Slim Alouini
In this paper, we investigate the transmission probabilities in three cases (depending only on the legitimate receiver, depending only the eavesdropper, and depending on both legitimate receiver and eavesdropper) in quantum key distribution (QKD) systems over free-space optical links. To be more realistic, we consider a generalized pointing error scenario, where the azimuth and elevation pointing error
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On the Rate Region of Symmetric Multilevel Imperfect Secret Sharing IEEE Trans. Commun. (IF 5.646) Pub Date : 2020-10-12 Tao Guo; Xuan Guang; Kenneth W. Shum
In this paper, we introduce an $n$ -channel multilevel imperfect secret sharing problem, which can be regarded as a generalization of secret sharing and a variation of multilevel diversity coding. In this model, a discrete memoryless source (DMS) is encoded into $n$ encoded messages. To measure the secrecy of the system, we introduce a security level for each subset of encoded messages. In the paper
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Table of contents IEEE Wirel. Commun. Lett. (IF 4.66) Pub Date : 2020-10-06
Presents the table of contents for this issue of the publication.
Contents have been reproduced by permission of the publishers.