{"title":"Secure Transmission in Wireless Semantic Communications With Adversarial Training","authors":"Jiting Shi;Qianyun Zhang;Weihao Zeng;Shufeng Li;Zhijin Qin","doi":"10.1109/LCOMM.2025.3526601","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3526601","url":null,"abstract":"The burgeoning technology of deep learning-based semantic communications has significantly enhanced the efficiency and reliability of wireless communication systems by facilitating the transmission of semantic features. However, security threats, notably the interception of sensitive data, remain a significant challenge for secure communications. To safeguard the confidentiality of transmitted semantics and effectively counteract eavesdropping threats, this letter proposes a secure deep learning-based semantic communication system, SecureDSC. It comprises semantic encoder/decoder, channel encoder/decoder, and encryption/decryption modules with a key processing network. By incorporating a symmetric encryption module and an attacker-oriented adversarial network, SecureDSC guarantees the secure transmission between legitimate users in the semantic communications. Besides, experiments are conducted to evaluate the effectiveness and feasibility of the proposed scheme.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"487-491"},"PeriodicalIF":3.7,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594387","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}
Ningxin Zhou;Zheng Wang;Cong Ma;Yongming Huang;Qingjiang Shi
{"title":"Distributed Precoder Based on Weighted MMSE With Low Complexity for Massive MIMO Systems","authors":"Ningxin Zhou;Zheng Wang;Cong Ma;Yongming Huang;Qingjiang Shi","doi":"10.1109/LCOMM.2025.3526155","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3526155","url":null,"abstract":"The weighted sum mean squared error minimization (WMMSE) algorithm has gained widespread adoption owing to its superior performance. In this letter, we propose a novel low-complexity distributed WMMSE (LCD-WMMSE) algorithm, which is implemented over a decentralized architecture based on ring topology. Although each distributed unit (DU) in LCD-WMMSE works only with the local channel state information (CSI), LCD-WMMSE algorithm is still able to approach the performance of traditional WMMSE. Moreover, we show that LCD-WMMSE is also scalable since its required interconnection bandwidth is independent of the number of transmitter antennas, making it promising to various scenarios of massive MIMO. Simulation results validate that the proposed LCD-WMMSE algorithm not only achieves the low complexity cost in a distributed manner but also exhibits negligible performance loss.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"482-486"},"PeriodicalIF":3.7,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594379","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":"Toward Non-Coherent Chaotic Communications: An RIS-Aided Dual M-ary DCSK System","authors":"Xiangming Cai;Weikai Xu;Lin Wang;Chau Yuen","doi":"10.1109/LCOMM.2024.3524637","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3524637","url":null,"abstract":"In this letter, we propose a reconfigurable intelligent surface (RIS)-aided dual M-ary differential chaos shift keying (RIS-DM-DCSK) system for non-coherent chaotic communications. In RIS-DM-DCSK, a dual M-ary DCSK signal is designed to transmit twice the number of modulated bits compared to a standard M-ary DCSK signal while permutation index modulation is employed to convey additional index bits, thereby enhancing energy efficiency. Furthermore, we propose a permutation index detection and dual M-ary DCSK demodulation algorithm to recover the transmitted bits. The bit error probability (BEP) of RIS-DM-DCSK is analyzed over a Rayleigh fading channel. Numerical results show that the proposed RIS-DM-DCSK achieves superior bit error rate (BER) performance and energy efficiency compared to benchmark schemes.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"472-476"},"PeriodicalIF":3.7,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594375","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":"Integrated Communication and Bayesian Estimation of Fixed Channel States","authors":"Daewon Seo","doi":"10.1109/LCOMM.2024.3524888","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3524888","url":null,"abstract":"This work studies an information-theoretic performance limit of an integrated sensing and communication (ISAC) system where the goal of sensing is to estimate a random continuous state. Considering the mean-squared error (MSE) for estimation performance metric, the Bayesian Cramér-Rao lower bound (BCRB) is widely used in literature as a proxy of the MSE; however, the BCRB is not generally tight even asymptotically except for restrictive distributions. Instead, we characterize the full tradeoff between information rate and the exact MSE using the asymptotically tight BCRB (ATBCRB) analysis, a recent variant of the BCRB. Our characterization is applicable for general channels as long as the regularity conditions are met, and the proof relies on constant composition codes and ATBCRB analysis with the codes. We also perform a numerical evaluation of the tradeoff in a variance estimation example, which commonly arises in spectrum sensing scenarios.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"477-481"},"PeriodicalIF":3.7,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594376","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":"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}