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Table of Contents IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-07-15
Presents the table of contents for this issue of the publication.
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IEEE Journal on Selected Areas in Communications IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-07-15
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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The Fifth Issue of the Series on Machine Learning in Communications and Networks IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-07-15 Geoffrey Y. Li, Walid Saad, Ayfer Ozgur, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gunduz, Jaafar Elmirghani
The fourth call for papers of the Series on Machine Learning in Communications and Networks has continued to receive a great number of high-quality papers covering various aspects of intelligent communications, from which we have included 16 original contributions in this issue. In the following, we provide a brief review of these papers according to their topics.
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TechRxiv: Share Your Preprint Research with the World! IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-07-15
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.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 Open Access Publishing IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-07-15
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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Introducing IEEE Collabratec IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-07-15
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IEEE Communications Society Information IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-07-15
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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Table of Contents IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-16
Presents the table of contents for this issue of the publication.
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IEEE Journal on Selected Areas in Communications IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-16
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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Guest Editorial Special Issue on Integrated Sensing and Communication—Part II IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-16 Fan Liu, Christos Masouros, Jie Xu, Tony Xiao Han, Aboulnasr Hassanien, Yonina C. Eldar, Stefano Buzzi
This is Part II of the double-part Special Issue (SI) on Integrated Sensing and Communication (ISAC). This SI aims at bringing together contributions from both academia and industry to highlight the recent progress of ISAC, where sensing and communication (S $\$ $ C) functionalities are jointly designed to utilize wireless/hardware resources efficiently and to assist each other for mutual benefits
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TechRxiv: Share Your Preprint Research with the World! IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-16
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 Information IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-16
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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Learning Tailored Adaptive Bitrate Algorithms to Heterogeneous Network Conditions: A Domain-Specific Priors and Meta-Reinforcement Learning Approach IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-15 Tianchi Huang, Chao Zhou, Rui-Xiao Zhang, Chenglei Wu, Lifeng Sun
Internet adaptive video streaming is a typical form of video delivery that leverages adaptive bitrate (ABR) algorithms to provide video services with high quality of experience (QoE) for various users in diverse and unique network conditions. Such heterogeneous network environments, which can be viewed as exogenous input processes, often lead to the unstable performance of ABR algorithms. Unfortunately
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Coded Distributed Computing With Predictive Heterogeneous User Demands: A Learning Auction Approach IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-13 Kun Zhu, Jiawei Liang, Juan Li, Changyan Yi
Coded distributed computing(CDC) has shown great potentials to solve the unexpected delay caused by stragglers in distributed computing. In this paper, we focus on the auction design for efficient resource allocation in CDC. Specifically, we aim to design a learning auction mechanism to handle heterogeneous user demands and also to free users from the complexity of specifying valuations for resource
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Intelligent Reflecting Surface Configurations for Smart Radio Using Deep Reinforcement Learning IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-10 Wei Wang, Wei Zhang
Intelligent reflecting surface (IRS) is envisioned to change the paradigm of wireless communications from “adapting to wireless channels” to “changing wireless channels”. However, current IRS configuration schemes, consisting of sub-channel estimation and passive beamforming in sequence, conform to the conventional model-based design philosophies and are difficult to be realized practically in the
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Joint Device Selection and Power Control for Wireless Federated Learning IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-10 Wei Guo, Ran Li, Chuan Huang, Xiaoqi Qin, Kaiming Shen, Wei Zhang
This paper studies the joint device selection and power control scheme for wireless federated learning (FL), considering both the downlink and uplink communications between the parameter server (PS) and the terminal devices. In each round of model training, the PS first broadcasts the global model to the terminal devices in an analog fashion, and then the terminal devices perform local training and
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Sensitivity-Aware Spatial Quality Adaptation for Live Video Analytics IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-10 Wufan Wang, Bo Wang, Lei Zhang, Hua Huang
To address the conflict between the limited network bandwidth and high DNN inference accuracy, live video analytics desires a bandwidth-efficient streaming approach. To this end, more and more works study spatially variable quality streaming where high quality is only used for important regions. The key challenges are to accurately identify the important regions and select the right qualities for them
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Dynamic Neural Network for MIMO Detection IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-08 Yuwen Yang, Feifei Gao, Mingjin Wang, Jiang Xue, Zongben Xu
Achieving adequate precision in deep learning based communications often requires large network architectures, which results into unacceptable time delay and power consumption. This paper introduces the dynamic neural network (DyNN) into the design of wireless communications systems. DyNN allocates different samples with computation resources on demand by preforming dynamic inferences, thereby reducing
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Eliminating CSI Feedback Overhead via Deep Learning-Based Data Hiding IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-08 Jiajia Guo, Chao-Kai Wen, Shi Jin
Channel state information (CSI) plays a crucial role in the capacity of multiple-input and multiple-output systems, but CSI feedback occupies substantial precious transmission resources in frequency-division duplexing (FDD) systems. In this work, we propose a data hiding-based CSI feedback framework, namely, EliCsiNet, to eliminate the CSI feedback overhead in FDD systems through deep learning. The
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C-GRBFnet: A Physics-Inspired Generative Deep Neural Network for Channel Representation and Prediction IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-08 Zhuoran Xiao, Zhaoyang Zhang, Chongwen Huang, Xiaoming Chen, Caijun Zhong, Mérouane Debbah
In this paper, we aim to efficiently and accurately predict the static channel impulse response (CIR) with only the user’s position information and a set of channel instances obtained within a certain wireless communication environment. Such a problem is by no means trivial since it needs to reconstruct the high-dimensional information (here the CIR everywhere) from the extremely low-dimensional data
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Nonlinear Transform Source-Channel Coding for Semantic Communications IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-08 Jincheng Dai, Sixian Wang, Kailin Tan, Zhongwei Si, Xiaoqi Qin, Kai Niu, Ping Zhang
In this paper, we propose a class of high-efficiency deep joint source-channel coding methods that can closely adapt to the source distribution under the nonlinear transform, it can be collected under the name nonlinear transform source-channel coding (NTSCC). In the considered model, the transmitter first learns a nonlinear analysis transform to map the source data into latent space, then transmits
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Learning-Based Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-08 Chang Liu, Weijie Yuan, Shuangyang Li, Xuemeng Liu, Husheng Li, Derrick Wing Kwan Ng, Yonghui Li
This paper investigates the integrated sensing and communication (ISAC) in vehicle-to-infrastructure (V2I) networks. To realize ISAC, an effective beamforming design is essential which however, highly depends on the availability of accurate channel tracking requiring large training overhead and computational complexity. Motivated by this, we adopt a deep learning (DL) approach to implicitly learn the
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Toward Large-Scale Hybrid Edge Server Provision: An Online Mean Field Learning Approach IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-08 Zhiyuan Wang, Jiancheng Ye, John C. S. Lui
The efficiency of a large-scale edge computing system primarily depends on three aspects: i) edge server provision, ii) task migration, and iii) computing resource configuration. In this paper, we study the dynamic resource configuration for hybrid edge server provision under two decentralized task migration schemes. We formulate the dynamic resource configuration as an online cost minimization problem
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Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networks IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-08 Zhibin Wang, Yong Zhou, Yuanming Shi, Weihua Zhuang
Federated learning (FL) over resource-constrained wireless networks has recently attracted much attention. However, most existing studies consider one FL task in single-cell wireless networks and ignore the impact of downlink/uplink inter-cell interference on the learning performance. In this paper, we investigate FL over a multi-cell wireless network, where each cell performs a different FL task and
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LinkSlice: Fine-Grained Network Slice Enforcement Based on Deep Reinforcement Learning IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-08 Tianxin Wang, Suhong Chen, Yifei Zhu, Aimin Tang, Xudong Wang
Considering network slicing in a cellular network, one of the most intriguing tasks is slice enforcement over air interfaces across multiple cells. The challenges lie in several aspects. First, resources allocated to different slices must achieve soft isolation at the link level. Second, users’ diverse QoS requirements must be satisfied even when communication links experience fading and interference
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Preemptive Scheduling for Distributed Machine Learning Jobs in Edge-Cloud Networks IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-08 Ne Wang, Ruiting Zhou, Lei Jiao, Renli Zhang, Bo Li, Zongpeng Li
Recent advances in 5G and edge computing enable rapid development and deployment of edge-cloud systems, which are ideal for delay-sensitive machine learning (ML) applications such as autonomous driving and smart city. Distributed ML jobs often need to train a large model with enormous datasets, which can only be handled by deploying a distributed set of workers in an edge-cloud system. One common approach
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Efficient KPI Anomaly Detection Through Transfer Learning for Large-Scale Web Services IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-08 Shenglin Zhang, Zhenyu Zhong, Dongwen Li, Qiliang Fan, Yongqian Sun, Man Zhu, Yuzhi Zhang, Dan Pei, Jiyan Sun, Yinlong Liu, Hui Yang, Yongqiang Zou
Timely anomaly detection of key performance indicators (KPIs), e.g., service response time, error rate, is of utmost importance to Web services. Over the years, many unsupervised deep learning-based anomaly detection approaches have been proposed. To achieve good performance, they require a long period of KPI data for model training, which is not easy to guarantee with frequent service changes. Additionally
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ARISE: A Multitask Weak Supervision Framework for Network Measurements IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-06-08 Jared Knofczynski, Ramakrishnan Durairajan, Walter Willinger
The application of machine learning (ML) to mitigate network-related problems poses significant challenges for researchers and operators alike. For one, there is a general lack of labeled training data in networking, and labeling techniques popular in other domains are ill-suited due to the scarcity of operators’ domain expertise. Second, network problems are typically multi-tasked in nature, requiring
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Table of Contents IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-05-17
Presents the table of contents for this issue of the publication.
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IEEE Journal on Selected Areas in Communications IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-05-17
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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Guest Editorial Special Issue on Integrated Sensing and Communication—Part I IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-05-17 Fan Liu, Christos Masouros, Jie Xu, Tony Xiao Han, Aboulnasr Hassanien, Yonina C. Eldar, Stefano Buzzi
Driving a gradual integration of the physical and digital worlds is perceived to become a reality in the 6G era, from vehicles to drones, from surveillance facilities in cities to agricultural tools in the countryside. Jointly motivated by recent advances in communication and signal processing, radio sensing functionality can be integrated into a 6G radio access network (RAN) in a low-cost and fast
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TechRxiv: Share Your Preprint Research with the World! IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-05-17
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 Information IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-05-17
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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Guest Editorial Special Issue on Next Generation Multiple Access—Part II IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-04-15 Yuanwei Liu, Shuowen Zhang, Zhiguo Ding, Robert Schober, Naofal Al-Dhahir, Ekram Hossain, Xuemin Shen
As the long-term evolution (LTE) system is reaching maturity and the fifth-generation (5G) systems are being commercially deployed, researchers have turned their attention to the development of next-generation wireless networks. Compared to current wireless networks, on the one hand, next-generation wireless networks are expected to achieve significantly higher capacity, extremely low latency, ultra-high
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Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-17 Fan Liu, Yuanhao Cui, Christos Masouros, Jie Xu, Tony Xiao Han, Yonina C. Eldar, Stefano Buzzi
As the standardization of 5G solidifies, researchers are speculating what 6G will be. The integration of sensing functionality is emerging as a key feature of the 6G Radio Access Network (RAN), allowing for the exploitation of dense cell infrastructures to construct a perceptive network. In this IEEE Journal on Selected Areas in Communications (JSAC) Special Issue overview, we provide a comprehensive
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Table of Contents IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-16
Presents the table of contents for this issue of the publication.
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IEEE Journal on Selected Areas in Communications IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-16
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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Special Issue on Next Generation Multiple Access—Part I IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-16 Yuanwei Liu, Shuowen Zhang, Zhiguo Ding, Robert Schober, Naofal Al-Dhahir, Ekram Hossain, Xuemin Shen
As the long-term evolution (LTE) system is reaching maturity and the fifth-generation (5G) systems are being commercially deployed, researchers have turned their attention to the development of next-generation wireless networks. Compared to current wireless networks, on the one hand, next-generation wireless networks are expected to achieve significantly higher capacity, extremely low latency, ultra-high
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TechRxiv: Share Your Preprint Research with the World! IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-16
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 Information IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-16
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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Proximal Policy Optimization-Based Transmit Beamforming and Phase-Shift Design in an IRS-Aided ISAC System for the THz Band IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-11 Xiangnan Liu, Haijun Zhang, Keping Long, Mingyu Zhou, Yonghui Li, H. Vincent Poor
In this paper, an IRS-aided integrated sensing and communications (ISAC) system operating in the terahertz (THz) band is proposed to maximize the system capacity. Transmit beamforming and phase-shift design are transformed into a universal optimization problem with ergodic constraints. Then the joint optimization of transmit beamforming and phase-shift design is achieved by gradient-based, primal-dual
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Rethinking Doppler Effect for Accurate Velocity Estimation With Commodity WiFi Devices IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-09 Kai Niu, Xuanzhi Wang, Fusang Zhang, Rong Zheng, Zhiyun Yao, Daqing Zhang
Enabling pervasive WiFi devices with non-contact sensing capability is an important topic in the field of integrated sensing and communication. Doppler effect has been widely exploited to estimate targets’ velocity from wireless signals. However, the separation of signal sources and receivers complicates the relationship between Doppler frequency shift (DFS) and target velocity in WiFi-based non-contact
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Location Awareness in Beyond 5G Networks via Reconfigurable Intelligent Surfaces IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-08 Ziyi Wang, Zhenyu Liu, Yuan Shen, Andrea Conti, Moe Z. Win
Achieving accurate location-awareness in wireless networks requires integrated sensing and communication (ISAC), where optimization, signal processing, and data fusion are performed under a common framework. The efficiency of ISAC in complex wireless environments can be improved via the use of reconfigurable intelligent surfaces (RISs). This paper introduces the concept of continuous intelligent surface
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Integrated Scheduling of Sensing, Communication, and Control for mmWave/THz Communications in Cellular Connected UAV Networks IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-08 Bo Chang, Wei Tang, Xiaoyu Yan, Xin Tong, Zhi Chen
By providing ultra-high transmission data rate, millimeter wave (mmWave) and terahertz (THz) communications are promising to enable backhaul data transmission in cellular connected unmanned aerial vehicle (UAV) networks. In such networks, with little or no human assistance, connected autonomous UAVs (CA-UAV) can build air-ground networks and achieve seamless wide-area coverage. With the usage of high
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Toward 5G NR High-Precision Indoor Positioning via Channel Frequency Response: A New Paradigm and Dataset Generation Method IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-08 Kaixuan Gao, Huiqiang Wang, Hongwu Lv, Wenxue Liu
Location-based services (LBSs) provide necessary infrastructure for daily life, from bicycle sharing to nursing care. In contrast to traditional positioning methods such as Wi-Fi, Bluetooth, and ultra-wideband (UWB), fifth-generation (5G) networking is defined as a paradigm of integrated sensing and communication (ISAC). With its advantages of wide-range coverage and indoor-outdoor integration, 5G
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RIS-Assisted Communication Radar Coexistence: Joint Beamforming Design and Analysis IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-08 Yinghui He, Yunlong Cai, Hao Mao, Guanding Yu
Integrated sensing and communication (ISAC) has been regarded as one of the most promising technologies for future wireless communications. However, the mutual interference in the communication radar coexistence system cannot be ignored. Inspired by the studies of reconfigurable intelligent surface (RIS), we propose a double-RIS-assisted coexistence system where two RISs are deployed for enhancing
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Joint MIMO Precoding and Computation Resource Allocation for Dual-Function Radar and Communication Systems With Mobile Edge Computing IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-08 Changfeng Ding, Jun-Bo Wang, Hua Zhang, Min Lin, Geoffrey Ye Li
In this paper, an integrated communication, radar sensing, and mobile-edge computing (CRMEC) architecture is developed, where user terminals (UTs) perform radar sensing and computation offloading simultaneously at the same spectrum by using multiple-input and multiple-output (MIMO) arrays and dual-function radar-communication techniques. We formulate a multi-objective optimization problem to jointly
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Resource Allocation in Heterogeneously-Distributed Joint Radar-Communications Under Asynchronous Bayesian Tracking Framework IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-08 Linlong Wu, Kumar Vijay Mishra, M. R. Bhavani Shankar, Björn Ottersten
Optimal allocation of shared resources is key to deliver the promise of jointly operating radar and communications systems. In this paper, unlike prior works which examine synergistic access to resources in colocated joint radar-communications or among identical systems, we investigate this problem for a distributed system comprising heterogeneous radars and multi-tier communications. In particular
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Time-Division ISAC Enabled Connected Automated Vehicles Cooperation Algorithm Design and Performance Evaluation IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-04 Qixun Zhang, Hongzhuo Sun, Xinye Gao, Xinna Wang, Zhiyong Feng
To overcome the bottleneck of unreliable environment sensing caused by sensor failure and obstacle blockage, the cooperation among connected automated vehicles (CAVs) is crucial for the reliable and efficient raw sensing data sharing in order to guarantee the driving safety. Empowered by the narrow beamwidth and high data rate abilities, the millimeter wave (mmWave) communication technology can substantially
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Integrating Low-Complexity and Flexible Sensing Into Communication Systems IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-04 Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo
Integrating sensing into standardized communication systems can potentially benefit many consumer applications that require both radio frequency functions. However, without an effective sensing method, such integration may not achieve the expected gains of cost and energy efficiency. Existing sensing methods, which use communication payload signals, either have limited sensing performance or suffer
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MIMO OFDM Dual-Function Radar-Communication Under Error Rate and Beampattern Constraints IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-04 Jeremy Johnston, Luca Venturino, Emanuele Grossi, Marco Lops, Xiaodong Wang
In this work we consider a multiple-input multiple-output (MIMO) dual-function radar-communication (DFRC) system, which senses multiple spatial directions and serves multiple users. Upon resorting to an orthogonal frequency division multiplexing (OFDM) transmission format and a differential phase shift keying (DPSK) modulation, we study the design of the radiated waveforms and of the receive filters
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NOMA-Aided Joint Radar and Multicast-Unicast Communication Systems IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-04 Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, Lajos Hanzo
The novel concept of non-orthogonal multiple access (NOMA) aided joint radar and multicast-unicast communication (Rad-MU-Com) is investigated. Employing the same spectrum resource, a multi-input-multi-output (MIMO) dual-functional radar-communication (DFRC) base station detects the radar-centric users (R-user), while transmitting mixed multicast-unicast messages both to the R-user and to the communication-centric
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Hybrid Active and Passive Sensing for SLAM in Wireless Communication Systems IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-03 Jie Yang, Chao-Kai Wen, Shi Jin
Integrating sensing functions into future mobile equipment has become an important trend. Realizing different types of sensing and achieving mutual enhancement under the existing communication hardware architecture is a crucial challenge in realizing the deep integration of sensing and communication. In the 5G New Radio context, active sensing can be performed through uplink beam sweeping on the user
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Joint Activity and Blind Information Detection for UAV-Assisted Massive IoT Access IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-03 Li Qiao, Jun Zhang, Zhen Gao, Dezhi Zheng, Md. Jahangir Hossain, Yue Gao, Derrick Wing Kwan Ng, Marco Di Renzo
Grant-free non-coherent index-modulation (NC-IM) has been recently considered as an efficient massive access scheme for enabling cost- and energy-limited Internet-of-Things (IoT) devices that transmit small data packets. This paper investigates the grant-free NC-IM scheme combined with orthogonal frequency division multiplexing for applicant to unmanned aerial vehicle (UAV)-based massive IoT access
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A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-02 Yu Ge, Ossi Kaltiokallio, Hyowon Kim, Fan Jiang, Jukka Talvitie, Mikko Valkama, Lennart Svensson, Sunwoo Kim, Henk Wymeersch
Millimeter wave (mmWave) signals are useful for simultaneous localization and mapping (SLAM), due to their inherent geometric connection to the propagation environment and the propagation channel. To solve the SLAM problem, existing approaches rely on sigma-point or particle-based approximations, leading to high computational complexity, precluding real-time execution. We propose a novel low-complexity
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Target Sensing With Intelligent Reflecting Surface: Architecture and Performance IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-02 Xiaodan Shao, Changsheng You, Wenyan Ma, Xiaoming Chen, Rui Zhang
Intelligent reflecting surface (IRS) has emerged as a promising technology to reconfigure the radio propagation environment by dynamically controlling wireless signal’s amplitude and/or phase via a large number of reflecting elements. In contrast to the vast literature on studying IRS’s performance gains in wireless communications, we study in this paper a new application of IRS for sensing/localizing
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Holographic Integrated Sensing and Communication IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-02 Haobo Zhang, Hongliang Zhang, Boya Di, Marco Di Renzo, Zhu Han, H. Vincent Poor, Lingyang Song
To overcome spectrum congestion, a promising approach is to integrate sensing and communication (ISAC) functions in one hardware platform. Recently, metamaterial antennas, whose tunable radiation elements are arranged more densely than those of traditional multiple-input-multiple-output (MIMO) arrays, have been developed to enhance the sensing and communication performance by offering a finer controllability
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Wi-Fi Sensing for Joint Gesture Recognition and Human Identification From Few Samples in Human-Computer Interaction IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-02 Ronghui Zhang, Chunxiao Jiang, Sheng Wu, Quan Zhou, Xiaojun Jing, Junsheng Mu
Gesture recognition is the central enabler of human-computer interaction (HCI). In addition to the semantic information contained in gestures, gesture-based user identification can effortlessly enhance HCI system security. Recently, the Wi-Fi-integrated sensing and communication (ISAC) technology has shown great potential in a field hitherto occupied by computer vision and radar sensing. In this work
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System-Level Analysis of Joint Sensing and Communication Based on 5G New Radio IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-02 Lorenzo Pucci, Enrico Paolini, Andrea Giorgetti
This work investigates a multibeam system for joint sensing and communication (JSC) based on multiple-input multiple-output (MIMO) 5G new radio (NR) waveforms. In particular, we consider a base station (BS) acting as a monostatic sensor that estimates the range, speed, and direction of arrival (DoA) of multiple targets via beam scanning using a fraction of the transmitted power. The target position
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WheelLoc: Practical and Accurate Localization for Wheeled Mobile Targets via Integrated Sensing and Communication IEEE J. Sel. Area. Comm. (IF 13.081) Pub Date : 2022-03-02 Linghe Kong, Yutong Liu, Yunxin Liu, Le Zheng, Meikang Qiu, Guihai Chen
Practical and accurate localization systems are important to mobile targets that enable promising services such as navigation and augmented reality. With the proliferation of WiFi, existing WiFi-based localization systems have leveraged RSSI, fingerprints, landmarks, time of arrival, or angle of arrival to locate targets, while no related work pays attention to mobile targets themselves. For wheel-driven