IEEE Transactions on Wireless Communications最新文献

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Intelligent Covert ISAC via RIS: A Reinforcement Learning Approach 基于RIS的智能隐蔽ISAC:一种强化学习方法
IF 10.7 1区 计算机科学
IEEE Transactions on Wireless Communications Pub Date : 2026-03-03 DOI: 10.1109/TWC.2026.3667559
Fangtao Yang;Chengwen Xing;Haichao Wei;Minho Jo;Na Deng;Nan Zhao;Dusit Niyato
{"title":"Intelligent Covert ISAC via RIS: A Reinforcement Learning Approach","authors":"Fangtao Yang;Chengwen Xing;Haichao Wei;Minho Jo;Na Deng;Nan Zhao;Dusit Niyato","doi":"10.1109/TWC.2026.3667559","DOIUrl":"10.1109/TWC.2026.3667559","url":null,"abstract":"The combination of reconfigurable intelligent surface (RIS) and integrated sensing and communication (ISAC) can improve the resource utilization in non-line-of-sight scenarios. To sense the target with high accuracy, it is necessary to directionally reflect the sensing signal toward the sensing target via the RIS, improving the sensing performance. However, enhancing signal quality may increase the risk of information leakage when the sensing target is the warden. Against this background, we investigate a covert transmission problem in an RIS assisted ISAC system. Specifically, we obtain a tractable form of covertness constraint in terms of minimum detection error probability via the optimal detection threshold. Then, we maximize the sum covert transmission rate by jointly optimizing the beamforming of confidential signal and jamming signal as well as the RIS’s phase shift, while ensuring the reliability, covertness and sensing constraints. Owing to the effectiveness of the deep reinforcement learning algorithm in processing high-dimensional data and making intelligent decision, we propose a twins-deep deterministic policy gradient-based joint covert beamforming and the phase shift of RIS optimization (TD3-CBP) algorithm to solve the above non-convex problem. Finally, simulation results demonstrate the effectiveness of the proposed TD3-CBP algorithm in the covertness performance, achieving an average of <inline-formula> <tex-math>$16.1~%$ </tex-math></inline-formula> higher sum covert transmission rate than the benchmark algorithms.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"13107-13120"},"PeriodicalIF":10.7,"publicationDate":"2026-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147350435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Reduced-Overhead Channel Estimation for FTN Signaling via Pilot Superimposition and Spectral Interference Alignment 基于导频叠加和频谱干扰对准的FTN信令低开销信道估计
IF 10.7 1区 计算机科学
IEEE Transactions on Wireless Communications Pub Date : 2026-03-03 DOI: 10.1109/TWC.2026.3667522
Yuchen Wu;Shinya Sugiura
{"title":"Reduced-Overhead Channel Estimation for FTN Signaling via Pilot Superimposition and Spectral Interference Alignment","authors":"Yuchen Wu;Shinya Sugiura","doi":"10.1109/TWC.2026.3667522","DOIUrl":"10.1109/TWC.2026.3667522","url":null,"abstract":"This paper proposes low-overhead and low-complexity channel estimation (CE) of frequency-domain equalization (FDE)-aided faster-than-Nyquist (FTN) signaling. In the proposed CE scheme, the concept of pilot superimposition is employed, where the FTN block is designed to superimpose pilot symbols with information symbols, thereby eliminating the need for dedicated time and frequency resources or guard bands. Furthermore, interference induced by the pilot superimposition is eliminated by invoking a novel scheme, referred to as spectral interference alignment, where a specially-designed data-dependent sequence is subtracted from the transmitted information symbols to achieve interference-free CE. The theoretical mean-square error (MSE) of the proposed CE is derived, confirming that the MSE is no longer affected by interference from the pilot superimposition. Our performance results demonstrate that the proposed CE achieves lower CE errors, better bit-error rates, higher achievable rate, and spectral efficiency with half of the overhead compared with the conventional benchmark.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"12962-12977"},"PeriodicalIF":10.7,"publicationDate":"2026-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11420875","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147350433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
引用次数: 0
RIS-Assisted AirComp FL: Joint Data Allocation and Power Optimization for Reduced Distortion ris辅助AirComp FL:联合数据分配和功率优化以减少失真
IF 10.7 1区 计算机科学
IEEE Transactions on Wireless Communications Pub Date : 2026-03-02 DOI: 10.1109/TWC.2026.3666532
Yalan Jiang;Bin Song;Di Zhao
{"title":"RIS-Assisted AirComp FL: Joint Data Allocation and Power Optimization for Reduced Distortion","authors":"Yalan Jiang;Bin Song;Di Zhao","doi":"10.1109/TWC.2026.3666532","DOIUrl":"10.1109/TWC.2026.3666532","url":null,"abstract":"Federated learning (FL) ensures privacy by training models on multiple edge devices and aggregating updates at a central base station (BS), while preserving data locally on devices. Over-the-Air Computing (AirComp) enhances efficiency as it enables edge devices to transmit model parameters simultaneously to the BS, leveraging wireless channels’ superposition characteristics to minimize communication overhead and latency. However, challenges such as signal distortion from fading and noise in wireless channels, along with disparities in communication capabilities among edge devices, can hinder the model aggregation process, leading to increased communication errors at the BS and overall performance degradation. To address these issues, we propose a novel reconfigurable intelligent surface (RIS)-assisted AirComp FL framework, where we optimize the transmit power at edge devices and the received power at the BS to effectively mitigate signal distortion issues, and utilize RIS technology to enhance communication reliability and efficiency by addressing straggler effects in wireless channels. We formulate a joint optimization problem for the design of over-the-air transceiver and RIS configurations, which can be solved using Karush-Kuhn-Tucker (KKT) conditions and Sequential Convex Approximation (SCA) principles. Numerical results demonstrate that our proposed method enhances model accuracy by approximately 21.5%, surpassing state-of-the-art approaches and significantly bolstering performance in AirComp FL models.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"12978-12995"},"PeriodicalIF":10.7,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147350448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Local Partial RZF in Cell-Free Massive MIMO: A Deterministic Equivalent Analysis 无单元大规模MIMO中的局部偏RZF:一个确定性等效分析
IF 10.7 1区 计算机科学
IEEE Transactions on Wireless Communications Pub Date : 2026-02-26 DOI: 10.1109/TWC.2026.3666064
Jiafei Fu;Peng Jiang;Pengcheng Zhu;Hien Quoc Ngo;Michail Matthaiou;Xiaohu You
{"title":"Local Partial RZF in Cell-Free Massive MIMO: A Deterministic Equivalent Analysis","authors":"Jiafei Fu;Peng Jiang;Pengcheng Zhu;Hien Quoc Ngo;Michail Matthaiou;Xiaohu You","doi":"10.1109/TWC.2026.3666064","DOIUrl":"https://doi.org/10.1109/TWC.2026.3666064","url":null,"abstract":"We consider a cell-free massive multiple-input and multiple-output (CF-mMIMO) system, where we derive a deterministic equivalent (DE)-form of the ergodic sum spectral efficiency (SE) based on local partial regularized zero-forcing (LP-RZF) precoding with statistical channel state information (S-CSI) by leveraging large-dimensional random matrix theory. Thanks to this derivation, the previously challenging issue of precoding design based on S-CSI is now resolved, particularly in scenarios where CSI is limited to local information at each access point (AP). Moreover, as the central processing unit (CPU) now only needs to transmit an optimized regularization parameter to the APs, the computational overhead can be reduced, which naturally enhances the system scalability. Driven by these advantages, we then introduce a joint user association, power allocation, and precoding design (i.e., regularization parameter optimization) scheme aimed at maximizing the ergodic sum SE and minimizing the sum power consumption. This is achieved through two optimization problems: one for the ergodic sum SE maximization using weighted minimum mean square error (WMMSE)-based processing and another for the sum power consumption minimization employing a block coordinate descent (BCD)-based algorithm. Numerical results demonstrate the superior performance of the proposed PRO-LPRZF scheme.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"12548-12564"},"PeriodicalIF":10.7,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147299517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Beam-Switching-Based Joint DOA and TOA Acquisition and Tracking Using Commercial 5G NR Signals for Outdoor Positioning 基于波束交换的商用5G NR信号户外定位DOA和TOA联合采集与跟踪
IF 10.7 1区 计算机科学
IEEE Transactions on Wireless Communications Pub Date : 2026-02-26 DOI: 10.1109/TWC.2026.3666585
Wenxin Dong;Zhanghai Ju;Hongjian Jiao;Zhaoliang Liu;Ruizhi Chen;Liang Chen
{"title":"Beam-Switching-Based Joint DOA and TOA Acquisition and Tracking Using Commercial 5G NR Signals for Outdoor Positioning","authors":"Wenxin Dong;Zhanghai Ju;Hongjian Jiao;Zhaoliang Liu;Ruizhi Chen;Liang Chen","doi":"10.1109/TWC.2026.3666585","DOIUrl":"https://doi.org/10.1109/TWC.2026.3666585","url":null,"abstract":"The proliferation of 5G wireless devices creates a pressing need for high-precision positioning services. This paper presents an integrated acquisition–and–tracking framework that leverages physical broadcast channel (PBCH) transmissions from commercial 5G New Radio (NR) base stations (BSs). To select the strongest downlink beam without prior knowledge of the BS radiation pattern, we use an adaptive beam-switching strategy based on reference signal received power (RSRP), reference signal received quality (RSRQ), and signal-to-noise ratio (SNR). For coarse acquisition, direction-of-arrival (DOA) and time-of-arrival (TOA) estimates are produced by a two-stage procedure that combines three-dimensional sparse Bayesian learning (SBL) with gradient-ascent off-grid refinement. A closed-loop tracker then continuously refines these estimates through azimuth-locked loop (ALL), elevation-locked loop (ELL), and delay-locked loop (DLL) modules. We further derive information-theoretic limits that bound acquisition and tracking and elucidate the key factors shaping these limits. The complete framework is implemented on a software-defined radio (SDR) 5G receiver and validated in outdoor field trials. Results indicate robust performance, with an average TOA root-mean-square error (RMSE) of 3.58 m, an azimuth RMSE of 5.77°, and an elevation RMSE of 2.74°, while requiring only 2.64 switching events per minute.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"12597-12612"},"PeriodicalIF":10.7,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147299519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Coverage and Rate Analysis of Follower-Based LEO Satellite Networks: A Stochastic Geometry Approach 基于跟踪器的LEO卫星网络覆盖率和速率分析:一种随机几何方法
IF 10.7 1区 计算机科学
IEEE Transactions on Wireless Communications Pub Date : 2026-02-26 DOI: 10.1109/TWC.2026.3666549
Juanjuan Ru;Ruibo Wang;Mohamed-Slim Alouini
{"title":"Coverage and Rate Analysis of Follower-Based LEO Satellite Networks: A Stochastic Geometry Approach","authors":"Juanjuan Ru;Ruibo Wang;Mohamed-Slim Alouini","doi":"10.1109/TWC.2026.3666549","DOIUrl":"https://doi.org/10.1109/TWC.2026.3666549","url":null,"abstract":"To mitigate inter-satellite interference and payload limits in LEO mega-constellations, satellite clusters, groups of small cooperative satellites have been proposed to improve performance and reduce interference. The typical configuration divides the cluster into a leader satellite with full processing and control capabilities and multiple simpler follower satellites that assist with coverage and throughput. These clusters enhance coverage and throughput, prompting interest in their performance gains and optimal deployment. Given that the spherical stochastic geometry (SG) model has been proven effective for modeling such structures, we establish a performance evaluation framework based on the SG approach for the leader-follower satellite architecture, enabling an assessment of communication performance under different deployment configurations quantitatively. We derive analytical expressions for the outage probability and average data rate to evaluate the communication performance of the satellite system, along with low-complexity approximations. Numerical results demonstrate the performance advantages of the leader-follower architecture over a single leader satellite and explore optimal deployment configurations for the follower satellites.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"12662-12675"},"PeriodicalIF":10.7,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147299544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Coupled-Interference Modeled FTN Signaling Over Doubly Selective Fading Channels: Joint Subpath Recovery and Iterative Detection 双选择性衰落信道上的耦合干扰建模FTN信令:联合子路径恢复和迭代检测
IF 10.7 1区 计算机科学
IEEE Transactions on Wireless Communications Pub Date : 2026-02-26 DOI: 10.1109/TWC.2026.3666648
Qiang Li;Yan Wang;Liping Li;Yingsong Li;Xingwang Li;Kai-Kit Wong;Chau Yuen
{"title":"Coupled-Interference Modeled FTN Signaling Over Doubly Selective Fading Channels: Joint Subpath Recovery and Iterative Detection","authors":"Qiang Li;Yan Wang;Liping Li;Yingsong Li;Xingwang Li;Kai-Kit Wong;Chau Yuen","doi":"10.1109/TWC.2026.3666648","DOIUrl":"https://doi.org/10.1109/TWC.2026.3666648","url":null,"abstract":"Faster-than-Nyquist (FTN) technique promises higher capacity and spectral efficiency for wireless communications. However, existing FTN studies over doubly-selective fading (DSF) channels separate channel-induced inter-symbol interference (channel-ISI) and FTN-induced ISI (FTN-ISI) to simplify cancellation. In practical DSF scenarios, the inherent coupling between FTN-ISI and channel-ISI causes significant performance degradation in conventional detection algorithms. To address this limitation, we first derive a practical FTN transmission model over DSF channels and construct the corresponding coupled interference matrix. Considering that data detection relies on efficient channel estimation, we propose a channel estimation algorithm with joint recovery of resolvable subpath parameters. This algorithm decomposes propagation paths into resolvable subpaths with independent delay-Doppler characteristics, achieving enhanced estimation accuracy through joint gain-phase optimization. Finally, building on the derived transceiver model and coupled interference matrix, we propose a whitening-enhanced orthogonal approximate message passing (WE-OAMP) algorithm that suppresses coupled interference through iterative linear-nonlinear estimation while maintaining spectral compactness. This algorithm constructs a whitening matrix using the FTN-ISI matrix to suppress noise correlation, and then performs detection through iterative linear and nonlinear estimation. Simulation results validate that the WE-OAMP algorithm outperforms benchmark algorithms in terms of bit error rate performance, especially in coded systems. Furthermore, we derive the achievable capacity of FTN signaling with WE-OAMP detection, demonstrating capacity improvement compared to Nyquist systems.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"12613-12629"},"PeriodicalIF":10.7,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147299510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Green Learning-Based Beam Tracking for Robust and Efficient Communications in Harsh Channel Environments 基于绿色学习的波束跟踪在恶劣信道环境下的鲁棒和高效通信
IF 10.7 1区 计算机科学
IEEE Transactions on Wireless Communications Pub Date : 2026-02-25 DOI: 10.1109/TWC.2026.3665930
Chen Chung;C.-C. Jay Kuo;Shang-Ho Tsai
{"title":"Green Learning-Based Beam Tracking for Robust and Efficient Communications in Harsh Channel Environments","authors":"Chen Chung;C.-C. Jay Kuo;Shang-Ho Tsai","doi":"10.1109/TWC.2026.3665930","DOIUrl":"10.1109/TWC.2026.3665930","url":null,"abstract":"This work proposes novel beam tracking methods to significantly reduce training overhead and combat harsh channel environments that lead to tracking failures, including blockages, multipaths, user movements, and rotations. The proposed beam tracking system is designed using a new low-carbon-footprint machine learning technique called Green Learning (GL). We introduce a GL-based prediction model (GLPM) along with an anti-blockage method (ABM) and an anti-rotation method (ARM) to enhance robustness. In a 5G NR beam management scenario utilizing a near-realistic ray-tracing channel, the proposed integrated beam tracking scheme significantly reduces the number of Synchronization Signal Blocks (SSBs) by 46–57 and outperforms traditional beam sweeping methods, achieving 1.3 to 4 times higher data rates compared to sweeping with 64 SSBs. Additionally, the proposed approach delivers superior accuracy while maintaining lower computational complexity than deep learning-based methods. Moreover, when examining instantaneous tracking ability, the proposed beam tracking scheme can closely follow ideal cases and rescue frequent tracking failures in conventional beam sweeping caused by harsh channel environments. This rescue is more pronounced in low SNR regions, where conventional beam sweeping can frequently lose connection entirely, while the proposed scheme maintains satisfactory link quality thanks to its accurate beam tracking that provides sufficient received power. From the experiments, the GLPM accounts for 70% to 93% of the overall operations, resulting in low latency and computational complexity. The ABM and ARM do not need to operate frequently but effectively address the shortcomings of GLPM in specific environments, significantly enhancing overall performance. The superior tracking ability and reduction in training redundancy demonstrate that the proposed integrated beam tracking technique is a promising solution for future 5G/6G beam management.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"12565-12580"},"PeriodicalIF":10.7,"publicationDate":"2026-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147287216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Resource Management in Hybrid-Powered HetNets With Two-Timescale Deep Reinforcement Learning 基于双时间尺度深度强化学习的混合动力HetNets资源管理
IF 10.7 1区 计算机科学
IEEE Transactions on Wireless Communications Pub Date : 2026-02-25 DOI: 10.1109/TWC.2026.3665362
Xiaokai Nie;Chang Sun;Xin Zhao;Wenwu Yu
{"title":"Resource Management in Hybrid-Powered HetNets With Two-Timescale Deep Reinforcement Learning","authors":"Xiaokai Nie;Chang Sun;Xin Zhao;Wenwu Yu","doi":"10.1109/TWC.2026.3665362","DOIUrl":"10.1109/TWC.2026.3665362","url":null,"abstract":"Renewable energy is incorporated to the energy supply for heterogeneous networks (HetNets) to mitigate the high energy consumption and meet carbon-neutral targets. This paper investigates resource management in HetNets with hybrid energy supply, where base stations are powered by renewable energy and power grid, and can share the harvested renewable energy with each other. The objective is to maximize the long-term average utility of the network defined as a weighted sum of system data rate and power grid energy cost. In view of the difference of dynamics characteristics between the radio and energy resources, the problem is formulated by describing energy resources over the large timescale relative to the small one for radio resources. To address the problem without prior knowledge, a two-timescale deep reinforcement learning (DRL)-based optimization framework is proposed, which is structured with two layers of decision-making, including the energy scheduling layer over the large timescale for renewable energy sharing among BSs and power grid energy consumption, and the power control layer over the small timescale for transmit power, respectively. To enhance the performance of the cross-layer collaborative optimization, in the energy scheduling layer an improved soft actor-critic with two-timescale update rule (TTUR-SAC) algorithm is designed with a novel strategy of differentiating the training frequencies of actor and critic networks, and in the power control layer the successive convex approximation method is leveraged to solve the non-convex subproblem for the transmit power. Simulation results demonstrate that under various system configurations our proposed solution outperforms the typical baseline methods.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"12646-12661"},"PeriodicalIF":10.7,"publicationDate":"2026-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147287239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sum Secrecy Rate Maximization in Movable Antenna-Assisted NOMA Secure Transmission Systems 移动天线辅助NOMA安全传输系统的总保密率最大化
IF 10.7 1区 计算机科学
IEEE Transactions on Wireless Communications Pub Date : 2026-02-25 DOI: 10.1109/TWC.2026.3666077
Yulei Lou;Yulong Zou;Hong Wang;Jia Zhu;Keqian Zhang;Wentong Lin;Longshen Chen
{"title":"Sum Secrecy Rate Maximization in Movable Antenna-Assisted NOMA Secure Transmission Systems","authors":"Yulei Lou;Yulong Zou;Hong Wang;Jia Zhu;Keqian Zhang;Wentong Lin;Longshen Chen","doi":"10.1109/TWC.2026.3666077","DOIUrl":"10.1109/TWC.2026.3666077","url":null,"abstract":"In this paper, we investigate the downlink non-orthogonal multiple access (NOMA) secure transmission systems, where a base station (BS) uses superposition coding to transmit information to users in the presence of multiple colluding eavesdroppers. To improve the information security, we propose a movable antenna (MA) and active beamforming (AB) assisted NOMA (MAABaN) secure transmission scheme, in which the BS is equipped with multiple MAs to enhance the physical layer security (PLS). To this end, we formulate a sum secrecy rate maximization optimization problem by jointly optimizing the AB vectors and the MA positions. To solve the complex non-convex problem, we employ the alternating optimization method to transform the original problem into two subproblems. Regarding the subproblem of MA positions, we analyze the coupling relationship between the position variables, and optimize one set of position variables while keeping others fixed. Then, we propose a low-complexity iterative algorithm for the MA positions based on multi-start gradient ascent (MSGA), and construct a joint optimization framework of MA and AB. Numerical results demonstrate that the proposed MAABaN scheme can effectively enhance PLS performance, and the proposed MSGA-based algorithm can also be applied to MA-assisted NOMA secure transmission systems.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"13011-13024"},"PeriodicalIF":10.7,"publicationDate":"2026-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147287217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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