{"title":"Secrecy Energy Efficiency Maximization for ARIS-Assisted Multiuser MISO Systems","authors":"Yibo Yi;Xinyue Hu;Caihong Kai","doi":"10.1109/LCOMM.2024.3524559","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3524559","url":null,"abstract":"In this letter, we investigate secure secrecy maximization with the aid of active reconfigurable intelligent surface (ARIS). In particular, we consider the multiuser multiple-input and single-output (MISO) system under the presence of a multi-antenna eavesdropper, where full-duplex (FD) legitimate users proactively emit artificial noise (AN) to disrupt the eavesdropper’s reception. Towards this end, we formulate the secrecy energy efficiency (SEE) maximization problem and propose an alternating optimization-based two-level algorithm to solve it, where the semi-definite programming (SDP) combined with successive convex approximation (SCA) is adopted. Simulation results reveal that the proposed scheme has an 84.9% SEE gain over the passive RIS scheme for <inline-formula> <tex-math>$N=150$ </tex-math></inline-formula> and gradually decreases when N increases. Moreover, a maximum 13.6% SEE gain for <inline-formula> <tex-math>$N=250$ </tex-math></inline-formula> can be further obtained compared to the ARIS scheme without AN.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"467-471"},"PeriodicalIF":3.7,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594383","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 Gains With Dynamic Position Plan in Distributed Movable Antenna-Aided Networks","authors":"Alireza Vahid;Shih-Chun Lin;Douglas C. Sicker","doi":"10.1109/LCOMM.2024.3524360","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3524360","url":null,"abstract":"We consider a distributed interference channel in which the transmitters are equipped with movable antenna arrays, enabling them to control the channel statistics. We study the fundamental capacity region where rather surprisingly, we show that a dynamic antenna position plan, which at some point within the communication block rotates the transmit beams to cover both the desired and the unintended receivers, may enhance attainable rates and maximize network capacity. We provide theoretical bounds that define the limits of attainable reliable rates taking into account the non-stationary nature of channels with controllable statistics and the fact that the transmitters are distributed. We also present a linear opportunistic communication protocol that exploits the non-causal knowledge of statistical changes to improve network capacity. We compare the results against various benchmarks and prove the superiority of the proposed protocol. We also prove that the attainable rates match the theoretical bounds for a highly non-trivial set of parameters.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"457-461"},"PeriodicalIF":3.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594380","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":"Optimized Channel Estimation Strategies for RIS-Aided Communication","authors":"Hamidreza Khaleghi;Abdullah Haskou","doi":"10.1109/LCOMM.2024.3524010","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3524010","url":null,"abstract":"6th-Generation (6G) networks seek improved coverage and efficiency, with Reconfigurable Intelligent Surfaces (RISs) offering a way to create adaptable radio environments. Achieving optimal performance in RIS-assisted systems, especially with multiple antennas, depends on precise channel estimation. This letter introduces enhanced methods for separate channel estimation that lower pilot overhead and improve efficiency by using deterministic channel models and optimal RIS configurations, addressing challenges in large-scale RIS deployments for next-generation networks.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"453-456"},"PeriodicalIF":3.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594373","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":"Hybrid Beamforming for Wideband Millimeter Wave MIMO Integrated Sensing and Communications","authors":"Junpeng Guo;Chenhao Qi","doi":"10.1109/LCOMM.2024.3524498","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3524498","url":null,"abstract":"In this letter, we propose a true-time-delayer network assisted hybrid beamforming scheme for wideband millimeter wave multiple-input multiple-output integrated sensing and communications. By jointly optimizing the digital beamformer, the true-time-delayer network and the phase shifter network, we aim at making the sum of beam patterns across all subcarriers approach a predefined sensing beam pattern, subject to the constraints of the signal-to-interference-plus-noise ratio requirements of communication users and the maximum transmit power of the base station. To improve the design flexibility, the sensing beam pattern is distributed among different subcarriers for optimization, with phase vectors introduced to transform the modulus summation into a linear summation. Additionally, by decoupling the multi-variable constraint, we employ the alternating direction method of multipliers to decompose the original problem into manageable subproblems, which are iteratively optimized. Simulation results demonstrate that the proposed scheme outperforms existing hybrid beamforming schemes in terms of beam pattern and sensing performance.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"462-466"},"PeriodicalIF":3.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594338","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":"Optimal Service Placement for 6G Edge Computing With Quantum-Centric Optimization in Real Quantum Hardware","authors":"Dang Van Huynh;Octavia A. Dobre;Trung Q. Duong","doi":"10.1109/LCOMM.2024.3523421","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3523421","url":null,"abstract":"Mobile edge computing (MEC) is emerging as a transformative enabler for the sixth-generation (6G) wireless networks. This letter investigates the potential of a quantum-centric optimisation approach for service placement in 6G MEC. Specifically, we formulate a mixed-integer binary programming problem that aims to minimise both service costs and delay by optimising service placement decisions, subject to constraints on service availability and the computing budget of edge servers. The formulated problem is NP-hard, making it computationally challenging for classical methods to solve. To address this, we develop a quantum-centric optimisation solution that efficiently finds optimal binary solutions for the problem, demonstrating potential for tackling medium-to-large-scale instances. Simulation results validate the effectiveness of the quantum-centric approach by showcasing the convergence pattern of the optimisation process on real quantum hardware and the associated increase in running time compared to a classical method.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"448-452"},"PeriodicalIF":3.7,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594429","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":"Few-Shot Specific Emitter Identification Based on a Contrastive Masked Learning Framework","authors":"Wenhan Li;Jiangong Wang;Taijun Liu;Gaoming Xu","doi":"10.1109/LCOMM.2024.3522281","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3522281","url":null,"abstract":"Specific emitter identification (SEI) is a unique physical-layer security technology that plays a crucial role in protecting wireless communication systems from various security threats. Although SEI based on artificial neural network models has achieved good identification performance, its performance degrades when labeled samples are limited. To address this issue, this letter proposes a few-shot SEI method based on a contrastive masked learning framework. This method combines contrastive learning and masked learning to enhance the model’s representation capability, and it consists of an encoder, a signal decoder, a feature decoder, and a momentum encoder. Simulation experiments on the open-source datasets LoRa and ADS-B show that the proposed method outperforms other SEI methods.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 2","pages":"408-412"},"PeriodicalIF":3.7,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403978","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":"Beyond Traditional Beamforming: Singular Vector Projection for MU-MIMO","authors":"Md Saheed Ullah;Rafid Umayer Murshed;Mohammad Saquib;Md. Forkan Uddin","doi":"10.1109/LCOMM.2024.3522939","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3522939","url":null,"abstract":"This letter introduces a low-complexity beamforming approach for MU-MIMO systems with multiple data streams per user, minimizing inter-user interference and improving spectral efficiency (SE). The Interference-Optimized Singular Vector Beamforming (IOSVB) algorithm is developed by correlating inter-user interference with channel singular vectors. It blends interference minimization and SE maximization by identifying ideal singular vectors. Extensive simulations demonstrate that IOSVB provides near-optimal SE performance, closely matching exhaustive search results while reducing the computational overhead. This novel approach in MU-MIMO systems is a promising option for future 6G wireless communication networks due to its excellent performance and reduced complexity.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"443-447"},"PeriodicalIF":3.7,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594385","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":"Novel LDPC Coded Modulation Scheme for Two-User Gaussian Multiple Access Channels","authors":"Ryo Shibata;Masato Kawasumi","doi":"10.1109/LCOMM.2024.3522244","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3522244","url":null,"abstract":"This letter proposes a novel coded modulation scheme for two-user Gaussian multiple access channels with higher-order modulation based on the concept of delayed bit-interleaved coded modulation. The proposed scheme effectively extracts user information from superimposed signals using previously decoded results. We demonstrate that the sum capacities of the proposed scheme can achieve the theoretical limits, while the decoding thresholds, when using spatially coupled low-density parity-check codes, closely approach these limits, even when both users employ the same constellation, bit labeling, code rate, and average power. Furthermore, we show that the proposed scheme outperforms conventional methods despite reduced complexity.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"438-442"},"PeriodicalIF":3.7,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594426","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":"Cooperative Spectrum Sensing Using Weighted Graph Sparsity","authors":"Yuxin Li;Guangyue Lu;Yinghui Ye;Gaojie Chen;Jingyu Feng","doi":"10.1109/LCOMM.2024.3522112","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3522112","url":null,"abstract":"Graph has been proven to be an emerging tool for spectrum sensing (SS), with detection performance closely related to the graph characteristics. Existing graph-based SS has been mainly investigated based on the unweighted graph for single user scenario, which leads to the poor performance at the low signal-to-noise. To address this issue, we introduce a weighted graph-based cooperative spectrum sensing method in this letter. Specifically, a signal-to-weighted-graph (STWG) mechanism for multi-user is proposed, which converts the signals of different users into a single weighted graph. To characterize the features of the weighted graph, graph sparsity is employed to represent the graph connectivity, upon which a test statistic is constructed. Moreover, a simple but practical method is proposed to estimate the detection threshold. Experimental results verify the theoretical analysis and demonstrate the superior performance of the proposed method.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 2","pages":"403-407"},"PeriodicalIF":3.7,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403975","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":"Optimizing Polar Codes for Reduced Latency Successive Cancellation List Decoder","authors":"Huayi Zhou;Yuqing Ren;Jiajie Li;Warren J. Gross","doi":"10.1109/LCOMM.2024.3521080","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3521080","url":null,"abstract":"This letter presents the application of genetic algorithms (GenAlg) to optimize polar codes for reducing the decoding latency of fast cyclic redundancy check aided successive cancellation list decoders. The theoretical decoding time steps (TS) in code construction are assessed under the constraint of a maximum special node size. The GenAlg employed iteratively utilizes mutation and crossover to reduce decoding TS by generating more large special nodes while maintaining acceptable performance. By avoiding redundant simulations, the GenAlg iterations are reduced by 5 orders of magnitude. Synthesis results indicate that the proposed scheme can reduce latency by up to 20.2% compared to 5G codes.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"433-437"},"PeriodicalIF":3.7,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594305","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}