IEEE journal on selected areas in communications : a publication of the IEEE Communications Society最新文献_第2页

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IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-08-20 DOI: 10.1109/JSAC.2024.3439091

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Real-Time Bayesian Neural Networks for 6G Cooperative Positioning and Tracking 用于 6G 协同定位和跟踪的实时贝叶斯神经网络

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-08-19 DOI: 10.1109/JSAC.2024.3413950

Bernardo Camajori Tedeschini;Girim Kwon;Monica Nicoli;Moe Z. Win

{"title":"Real-Time Bayesian Neural Networks for 6G Cooperative Positioning and Tracking","authors":"Bernardo Camajori Tedeschini;Girim Kwon;Monica Nicoli;Moe Z. Win","doi":"10.1109/JSAC.2024.3413950","DOIUrl":"10.1109/JSAC.2024.3413950","url":null,"abstract":"In the evolving landscape of 5G new radio and related 6G evolution, achieving centimeter-level dynamic positioning is pivotal, especially in cooperative intelligent transportation system frameworks. With the challenges posed by higher path loss and blockages in the new frequency bands (i.e., millimeter waves), machine learning (ML) offers new approaches to draw location information from space-time wide-bandwidth radio signals and enable enhanced location-based services. This paper presents an approach to real-time 6G location tracking in urban settings with frequent signal blockages. We introduce a novel teacher-student Bayesian neural network (BNN) method, called Bayesian bright knowledge (BBK), that predicts both the location estimate and the associated uncertainty in real-time. Moreover, we propose a seamless integration of BNNs into a cellular multi-base station tracking system, where more complex channel measurements are taken into account. Our method employs a deep learning (DL)-based autoencoder structure that leverages the complete channel impulse response to deduce location-specific attributes in both line-of-sight and non-line-of-sight environments. Testing in 3GPP specification-compliant urban micro (UMi) scenario with ray-tracing and traffic simulations confirms the BBK’s superiority in estimating uncertainties and handling out-of-distribution testing positions. In dynamic conditions, our BNN-based tracking system surpasses geometric-based tracking techniques and state-of-the-art DL models, localizing a moving target with a median error of 46 cm.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142007573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Joint Localization and Communication Enhancement in Uplink Integrated Sensing and Communications System With Clock Asynchronism 具有时钟异步性的上行链路综合传感与通信系统中的联合定位与通信增强功能

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-08-06 DOI: 10.1109/JSAC.2024.3414625

Xu Chen;Xinxin He;Zhiyong Feng;Zhiqing Wei;Qixun Zhang;Xin Yuan;Ping Zhang

{"title":"Joint Localization and Communication Enhancement in Uplink Integrated Sensing and Communications System With Clock Asynchronism","authors":"Xu Chen;Xinxin He;Zhiyong Feng;Zhiqing Wei;Qixun Zhang;Xin Yuan;Ping Zhang","doi":"10.1109/JSAC.2024.3414625","DOIUrl":"10.1109/JSAC.2024.3414625","url":null,"abstract":"In this paper, we propose a joint single-base localization and communication enhancement scheme for the uplink (UL) integrated sensing and communications (ISAC) system with asynchronism, which can achieve accurate single-base localization of user equipment (UE) and significantly improve the communication reliability despite the existence of timing offset (TO) due to the clock asynchronism between UE and base station (BS). Our proposed scheme integrates the CSI enhancement into the multiple signal classification (MUSIC)-based AoA estimation and thus imposes no extra complexity on the ISAC system. We further exploit a MUSIC-based range estimation method and prove that it can suppress the time-varying TO-related phase terms. Exploiting the AoA and range estimation of UE, we can estimate the location of UE. Finally, we propose a joint CSI and data signals-based localization scheme that can coherently exploit the data and the CSI signals to improve the AoA and range estimation, which further enhances the single-base localization of UE. The extensive simulation results show that the enhanced CSI can achieve equivalent bit error rate performance to the minimum mean square error (MMSE) CSI estimator. The proposed joint CSI and data signals-based localization scheme can achieve decimeter-level localization accuracy despite the existing clock asynchronism and improve the localization root mean square error (RMSE) by about 6 dB compared with the maximum likelihood esimation (MLE)-based benchmark method.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141899816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Floor-Plan-Aided Indoor Localization: Zero-Shot Learning Framework, Data Sets, and Prototype 平面图辅助室内定位：零点学习框架、数据集和原型

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-08-01 DOI: 10.1109/JSAC.2024.3413994

Haiyao Yu;Changyang She;Yunkai Hu;Geng Wang;Rui Wang;Branka Vucetic;Yonghui Li

{"title":"Floor-Plan-Aided Indoor Localization: Zero-Shot Learning Framework, Data Sets, and Prototype","authors":"Haiyao Yu;Changyang She;Yunkai Hu;Geng Wang;Rui Wang;Branka Vucetic;Yonghui Li","doi":"10.1109/JSAC.2024.3413994","DOIUrl":"10.1109/JSAC.2024.3413994","url":null,"abstract":"Machine learning has been considered a promising approach for indoor localization. Nevertheless, the sample efficiency, scalability, and generalization ability remain open issues of implementing learning-based algorithms in practical systems. In this paper, we establish a zero-shot learning framework that does not need real-world measurements in a new communication environment. Specifically, a graph neural network that is scalable to the number of access points (APs) and mobile devices (MDs) is used for obtaining coarse locations of MDs. Based on the coarse locations, the floor-plan image between an MD and an AP is exploited to improve localization accuracy in a floor-plan-aided deep neural network. To further improve the generalization ability, we develop a synthetic data generator that provides synthetic data samples in different scenarios, where real-world samples are not available. We implement the framework in a prototype that estimates the locations of MDs. Experimental results show that our zero-shot learning method can reduce localization errors by around 30% to 55% compared with three baselines from the existing literature.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141877368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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IEEE Communications Society Information IEEE 通信学会信息

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-07-17 DOI: 10.1109/JSAC.2024.3412408

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Guest Editorial: Electromagnetic Nanonetworks: From On-Chip Communication to Wearable and Implantable Networks 特邀社论：电磁纳米网络：从片上通信到可穿戴和植入网络

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-07-17 DOI: 10.1109/JSAC.2024.3401428

Vitaly Petrov;Sergi Abadal;Chong Han;Laura Galluccio;Ian F. Akyildiz;Josep M. Jornet

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IEEE Journal on Selected Areas in Communications Publication Information 电气和电子工程师学会通信领域精选期刊》（IEEE Journal on Selected Areas in Communications）出版信息

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-07-17 DOI: 10.1109/JSAC.2024.3412346

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Positioning Using Wireless Networks: Applications, Recent Progress, and Future Challenges 利用无线网络进行定位：应用、最新进展和未来挑战

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-07-10 DOI: 10.1109/JSAC.2024.3423629

Yang Yang;Mingzhe Chen;Yufei Blankenship;Jemin Lee;Zabih Ghassemlooy;Julian Cheng;Shiwen Mao

{"title":"Positioning Using Wireless Networks: Applications, Recent Progress, and Future Challenges","authors":"Yang Yang;Mingzhe Chen;Yufei Blankenship;Jemin Lee;Zabih Ghassemlooy;Julian Cheng;Shiwen Mao","doi":"10.1109/JSAC.2024.3423629","DOIUrl":"10.1109/JSAC.2024.3423629","url":null,"abstract":"Positioning has recently received considerable attention as a key enabler in emerging applications such as extended reality, unmanned aerial vehicles, and smart environments. These applications require both data communication and high-precision positioning, and thus they are particularly well-suited to be offered in wireless networks (WNs). The purpose of this paper is to provide a comprehensive overview of existing works and new trends in the field of positioning techniques from both academic and standard perspectives. The paper provides a comprehensive overview of indoor positioning in WNs, covering the background, applications, measurements, state-of-the-art technologies, and future challenges. The paper outlines the applications of positioning from the perspectives of public facilities, enterprises, and individual users. We investigate the key performance indicators and measurements of positioning systems, followed by the review of the key enabler techniques such as artificial intelligence/large models and adaptive systems. Next, we discuss a number of typical wireless positioning technologies. We extend our overview beyond the academic progress, to include the standardization efforts, and finally, we provide insight into the challenges that remain. The comprehensive overview of existing efforts and new trends in the field of indoor positioning from both academic and standardization perspectives would be a useful reference to researchers in the field.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141584171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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MIMO Integrated Sensing and Communication Exploiting Prior Information 利用先验信息的 MIMO 综合传感与通信

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-07-03 DOI: 10.1109/JSAC.2024.3413972

Chan Xu;Shuowen Zhang

{"title":"MIMO Integrated Sensing and Communication Exploiting Prior Information","authors":"Chan Xu;Shuowen Zhang","doi":"10.1109/JSAC.2024.3413972","DOIUrl":"10.1109/JSAC.2024.3413972","url":null,"abstract":"In this paper, we study a multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) system where one multi-antenna base station (BS) sends information to a user with multiple antennas in the downlink and simultaneously senses the location parameter of a target based on its reflected echo signals received back at the BS receive antennas. We focus on the case where the location parameter to be sensed is unknown and random, for which the prior distribution information is available for exploitation. First, we propose to adopt the posterior Cramér-Rao bound (PCRB) as the sensing performance metric with prior information, which quantifies a lower bound of the mean-squared error (MSE). Since the PCRB is in a complicated form, we derive a tight upper bound of it to draw more insights. Moreover, we analytically show that by exploiting the prior distribution information, the PCRB is always no larger than the CRB averaged over random location realizations without prior information exploitation. Next, we formulate the transmit covariance matrix optimization problem to minimize the sensing PCRB under a communication rate constraint. We obtain the optimal solution and derive useful properties on its rank. Then, by considering the derived PCRB upper bound as the objective function, we propose a low-complexity suboptimal solution in semi-closed form. Numerical results demonstrate the effectiveness of our proposed designs in MIMO ISAC systems exploiting prior information.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141546113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Near-Field Integrated Sensing, Positioning, and Communication: A Downlink and Uplink Framework 近场综合传感、定位和通信：下行链路和上行链路框架

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-07-01 DOI: 10.1109/JSAC.2024.3413956

Haochen Li;Zhaolin Wang;Xidong Mu;Pan Zhiwen;Yuanwei Liu

{"title":"Near-Field Integrated Sensing, Positioning, and Communication: A Downlink and Uplink Framework","authors":"Haochen Li;Zhaolin Wang;Xidong Mu;Pan Zhiwen;Yuanwei Liu","doi":"10.1109/JSAC.2024.3413956","DOIUrl":"10.1109/JSAC.2024.3413956","url":null,"abstract":"A near-field integrated sensing, positioning, and communication (ISPAC) framework is proposed, where a base station (BS) simultaneously serves multiple communication users and carries out target sensing and positioning. A novel double-array structure is proposed to enable the near-field ISPAC at the BS. Specifically, a small-scale assisting transceiver (AT) is attached to the large-scale main transceiver (MT) to empower the communication system with the ability of sensing and positioning. Based on the proposed framework, the joint angle and distance Cramér-Rao bound (CRB) is first derived. Then, the CRB is minimized subject to the minimum communication rate requirement in both downlink and uplink ISPAC scenarios: 1) For downlink ISPAC, a downlink target positioning algorithm is proposed and a penalty dual decomposition (PDD)-based double-loop algorithm is developed to tackle the non-convex optimization problem. 2) For uplink ISPAC, an uplink target positioning algorithm is proposed and an efficient alternating optimization algorithm is conceived to solve the non-convex CRB minimization problem with coupled user communication and target probing design. Both proposed optimization algorithms can converge to a stationary point of the CRB minimization problem. Numerical results show that: 1) The proposed ISPAC system can locate the target in both angle and distance domains merely relying on single BS and limited bandwidths; and 2) the positioning performance achieved by the hybrid-analog-and-digital ISPAC approaches that achieved by fully digital ISPAC when the communication rate requirement is not stringent.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141489495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0