Xiaoyan Zhao;Cheng Wang;Songsong Cai;Ruoqi Chen;Jiarui Wen;Lexi Xu;Weidong Wang
{"title":"Multi-Satellite Cooperative Load-Balancing Scheme Based on Dynamic Beam Coverage for LEO Beam Hopping Systems","authors":"Xiaoyan Zhao;Cheng Wang;Songsong Cai;Ruoqi Chen;Jiarui Wen;Lexi Xu;Weidong Wang","doi":"10.1109/LWC.2024.3452115","DOIUrl":"10.1109/LWC.2024.3452115","url":null,"abstract":"Due to the time-varying and non-uniform terrestrial traffic requirements, efficiently utilizing limited satellite resources to match non-uniform traffic demands brings challenges for Low Earth Orbit (LEO) beam-hopping (BH) technology. Existing LEO BH systems typically assume the fixed beam coverage sizes, potentially leading to resource congestion or wastage. In this letter, we present a novel multi-satellite collaborative two-dimensional load-balancing beam-hopping scheme based on dynamic beam coverage (MSDBC-BH), which encompasses both inter-beam load balancing and inter-satellite load balancing. This letter proposes the dynamic beam coverage design to achieve effective inter-beam load balancing. Additionally, a cell-satellite assignment scheme based on a game-matching algorithm is introduced to satisfy inter-satellite load balancing. Simulation results illustrate that the proposed MSDBC-BH effectively addresses the load imbalance among satellites and improves system throughput.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"13 10","pages":"2892-2896"},"PeriodicalIF":4.6,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142101306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Channel Estimation for Movable-Antenna MIMO Systems via Tensor Decomposition","authors":"Ruoyu Zhang;Lei Cheng;Wei Zhang;Xinrong Guan;Yueming Cai;Wen Wu;Rui Zhang","doi":"10.1109/LWC.2024.3450592","DOIUrl":"10.1109/LWC.2024.3450592","url":null,"abstract":"In this letter, we investigate the channel estimation problem for MIMO wireless communication systems with movable antennas (MAs) at both the transmitter (Tx) and receiver (Rx). To achieve high channel estimation accuracy with low pilot training overhead, we propose a tensor decomposition-based method for estimating the parameters of multi-path channel components, thereby reconstructing the wireless channel between any pair of Tx and Rx MA positions in the Tx and Rx regions. First, we introduce a two-stage Tx-Rx successive antenna movement pattern for pilot training. Then, we obtain the factor matrices of the tensor via the canonical polyadic decomposition, and thereby estimate the angle/gain parameters for enabling the channel reconstruction between arbitrary Tx/Rx MA positions. In addition, we analyze the uniqueness condition of the tensor decomposition, which ensures the complete channel reconstruction between the whole Tx and Rx regions based on the channel measurements at only a finite number of Tx/Rx MA positions. Finally, simulation results are presented to evaluate the proposed tensor decomposition-based method as compared to existing methods, in terms of channel estimation accuracy and pilot overhead.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"13 11","pages":"3089-3093"},"PeriodicalIF":4.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142101314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sensing-Resistant Jamming: A Novel Physical Layer Attack in ISAC Networks","authors":"Teng Ma;Xia Lei;Hong Niu;Chau Yuen","doi":"10.1109/LWC.2024.3451534","DOIUrl":"10.1109/LWC.2024.3451534","url":null,"abstract":"The landscape of future mobile devices is poised for an organic fusion of sensing and communication, a trend known as integrated sensing and communication. In this letter, we stand in attacker’s perspective and conceive a novel physical layer attack termed sensing-resistant jamming (SRJ), aiming at maximally disrupting the suspicious transmission while deceiving receiver’s detection of the attacker’s direction simultaneously. To evaluate the sensing-resistant performance, a metric named angular-domain peak-to-average ratio (ADPAR) is defined and further analyzed through the generalized Rayleigh quotient. Then, the SRJ design is formulated by minimizing the achievable rate under ADPAR constraints, which is converted to a convex problem and solved by the projected gradient descent (PGD) algorithm. In order to further reduce the computational complexity, we also provide a sub-optimal closed-form solution. Simulation results illustrate the feasibility of the conceived SRJ design, where the attacker’s direction can be concealed while maintaining the achievable rate to a low level.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"13 11","pages":"3099-3103"},"PeriodicalIF":4.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142101337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Capacity Maximization for Base Station With Hybrid Fixed and Movable Antennas","authors":"Xiaoming Shi;Xiaodan Shao;Rui Zhang","doi":"10.1109/LWC.2024.3451481","DOIUrl":"10.1109/LWC.2024.3451481","url":null,"abstract":"Six-dimensional movable antenna (6DMA) is an effective solution for enhancing wireless network capacity through the adjustment of both 3D positions and 3D rotations of distributed antenna surfaces. Although freely positioning/rotating 6DMA surfaces offer the greatest flexibility and thus highest capacity improvement, its implementation may be challenging in practice due to the drastic architecture change required for existing base stations (BSs), which predominantly adopt fixed-position antenna (FPA) arrays (e.g., sector antenna arrays). Thus, we introduce in this letter a new BS architecture called hybrid fixed and movable antennas (HFMA), which consists of both conventional FPA arrays and position/rotation-adjustable 6DMA surfaces. For ease of implementation, we consider that all 6DMA surfaces can rotate along a circular track above the FPA arrays. We aim to maximize the network capacity via optimizing the rotation angles of all 6DMA surfaces based on the users’ spatial distribution. Since this problem is combinatorial and its optimal solution requires prohibitively high computational complexity via exhaustive search, we propose an alternative adaptive Markov Chain Monte Carlo based method to solve it more efficiently. Finally, we present simulation results that show significant performance gains achieved by our proposed design over various benchmark schemes.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"13 10","pages":"2877-2881"},"PeriodicalIF":4.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142101338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hanwen Xu;Rui Liu;Yaqin Xie;Jiamin Li;Pengcheng Zhu;Dognming Wang
{"title":"Cross-Region Fusion and Fast Adaptation for Multi-Scenario Fingerprint-Based Localization in Cell-Free Massive MIMO Systems","authors":"Hanwen Xu;Rui Liu;Yaqin Xie;Jiamin Li;Pengcheng Zhu;Dognming Wang","doi":"10.1109/LWC.2024.3451699","DOIUrl":"10.1109/LWC.2024.3451699","url":null,"abstract":"Existing fingerprint-based localization methods perform well in a specific region. However, transferring the model to a new region or adapting to differences in regional environments poses challenges. Additionally, the substantial training cost of the model, including long training time and the inability to reuse data across different regions, further complicates the implementation process. To address these issues, we propose cross region fusion and fast adaptation (CRFA) framework, a novel approach for fingerprint localization in cell-free massive multiple-input multiple-output systems. We begin by extracting angle domain channel power as fingerprint. Further more, we employ access point selection, cross-region fusion and network localization network to enhance localization accuracy and address cross-regional fingerprint disparities. Through the training process of model-agnostic meta-learning, CRFA acquires meta-parameters that facilitate its deployment to any region through a fine-tuning process. Leveraging cross region fusion and meta-learning, the proposed model achieves higher localization accuracy, fast deployment, and adaptability to various environments. Experimental validation using Wireless Insite software shows that the proposed CRFA method performs better in complex environments compared to traditional methods when rapidly deploying models to indoor, urban and suburban region.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"13 10","pages":"2882-2886"},"PeriodicalIF":4.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142101316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Transmit Beamforming Design for Multi-UE Multi-Target ISAC Systems","authors":"Qiu Ouyang;Jiupeng Zhang;Shi Yan;Mugen Peng","doi":"10.1109/LWC.2024.3451022","DOIUrl":"10.1109/LWC.2024.3451022","url":null,"abstract":"This letter proposes an integrated sensing and communication (ISAC) beamforming method that senses multiple moving targets while simultaneously communicating with multiple user equipment (UE). The radar estimation rate is combined with the communication achievable rate to assess ISAC system performance. Semidefinite relaxation (SDR) and successive convex approximation (SCA) are used to handle the non-convex rank constraint and convexify the objective function, respectively. To reduce the computational complexity, a manifold-based algorithm is proposed as an alternative. Simulation results validate the effectiveness of the proposed schemes.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"13 11","pages":"3094-3098"},"PeriodicalIF":4.6,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142090202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmad Halimi Razlighi;Carsten Bockelmann;Armin Dekorsy
{"title":"Semantic Communication for Cooperative Multi-Task Processing Over Wireless Networks","authors":"Ahmad Halimi Razlighi;Carsten Bockelmann;Armin Dekorsy","doi":"10.1109/LWC.2024.3451139","DOIUrl":"10.1109/LWC.2024.3451139","url":null,"abstract":"In this letter, we investigated semantic communication for multi-task processing using an information-theoretic approach. We introduced the concept of a “semantic source”, allowing multiple semantic interpretations from a single observation. We formulated an end-to-end optimization problem taking into account the communication channel, maximizing mutual information (infomax) to design the semantic encoding and decoding process exploiting the statistical relations between semantic variables. To solve the problem we perform data-driven deep learning employing variational approximation techniques. Our semantic encoder is divided into a common unit and multiple specific units to facilitate cooperative multi-task processing. Simulation results demonstrate the effectiveness of our proposed semantic source and system design when statistical relationships exist, comparing cooperative task processing with independent task processing. However, our findings highlight that cooperative multi-tasking is not always beneficial, emphasizing the importance of statistical relationships between tasks and indicating the need for further investigation into the semantically processing of multiple tasks.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"13 10","pages":"2867-2871"},"PeriodicalIF":4.6,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10654356","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142090205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Turning Adversity Into Advantage: Robust MCS Selection Utilizing the Uncertainty of Channel Prediction Neural Networks","authors":"Yangyang Li;Yuhua Xu;Guoxin Li;Ximing Wang;Yifan Xu;Songyi Liu;Lei Yue","doi":"10.1109/LWC.2024.3393939","DOIUrl":"10.1109/LWC.2024.3393939","url":null,"abstract":"In wireless communication systems, the selection of suitable modulation and/or coding schemes (MCS) based on predicted channel quality is vital. However, the dynamic nature of wireless channels poses a challenge, leading to persistent inaccuracies in prediction. This letter tackles this challenge by introducing a robust communication approach for MCS selection, rooted in new paradigm of prediction uncertainty quantification. The proposed method involves establishing an uncertainty pool to quantify potential prediction errors. This approach enables the assessment of the accuracy of predictions, facilitating the informed selection of MCSs. Through simulations utilizing real-world data, the integration of our proposed design into various channel prediction neural networks enhances the performance of MCS selection. The simulations show our design enhances communication robustness without compromising throughput. The enhancement of up to 53% in communication success rates, with an average improvement of around 15%.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"13 10","pages":"2632-2636"},"PeriodicalIF":4.6,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142090203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bistatic Doppler Frequency Estimation With Asynchronous Moving Devices for Integrated Sensing and Communications","authors":"Gianmaria Ventura;Zaman Bhalli;Michele Rossi;Jacopo Pegoraro","doi":"10.1109/LWC.2024.3451298","DOIUrl":"10.1109/LWC.2024.3451298","url":null,"abstract":"In this letter, we present for the first time a method to estimate the bistatic Doppler frequency of a target with clock asynchronous and mobile Integrated Sensing And Communication (ISAC) devices. Existing approaches have separately tackled the presence of phase offsets due to clock asynchrony or the additional Doppler shift due to device movement. However, in real ISAC scenarios, these two sources of phase nuisance are concurrently present, making the estimation of the target’s Doppler frequency particularly challenging. Our method solves the problem using the sole wireless signal at the receiver, exploiting the invariance of phase offsets across multipath components and the bistatic geometry in an original way. The proposed method is validated via simulation, exploring the impact of different system parameters. Numerical results show that our approach is a viable way of estimating Doppler frequency in bistatic asynchronous ISAC scenarios with mobile devices.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"13 10","pages":"2872-2876"},"PeriodicalIF":4.6,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10654288","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142090364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"URLLC CF Massive MIMO Systems With Dual Polarized Antennas and Hardware Impairments","authors":"Sourasis Chatterjee;Sauradeep Dey;Rohit Budhiraja","doi":"10.1109/LWC.2024.3450497","DOIUrl":"10.1109/LWC.2024.3450497","url":null,"abstract":"We consider the downlink of an ultra-reliable low-latency communication (URLLC) cell-free (CF) massive multi-input-multi-output (mMIMO) system, with dual-polarized antennas at access point (AP), and user equipments. We assume that APs are equipped with low-quality radio-frequency (RF) chains and low-resolution analog-to-digital converters/digital-to-analog converters (ADC/DACs), which distort their transmit and receive signals. To mitigate these impairments, we propose a novel distortion-aware minimum-mean-square-error (DA-MMSE) precoder by exploiting the knowledge of RF and ADC/DAC impairment correlation matrices. We apply large dimensional random matrix theory to derive a closed-form spectral efficiency expression. We use it to analytically show that RF and ADC/DAC impairment levels increase as the system becomes more distributed, which necessitates the use of DA-MMSE precoder to achieve a desirable URLLC performance. We also show the effectiveness of DA-MMSE precoder and dual-polarized antennas in meeting the strict URLLC constraints.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"13 10","pages":"2862-2866"},"PeriodicalIF":4.6,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142085617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}