IEEE Transactions on Wireless Communications最新文献_第7页

Dynamic Reference Anchor Selection for Enhanced TDoA-Based UWB Localization in Complex Scenarios 复杂场景下基于tdob的增强超宽带定位动态参考锚点选择

IF 10.7 1区计算机科学

IEEE Transactions on Wireless Communications Pub Date : 2026-03-04 DOI: 10.1109/TWC.2026.3667604

Yiping Yang;Lei Zhang;Zhen Xi;Yu Sun;Qiwei Chen;Mingming Zhang

{"title":"Dynamic Reference Anchor Selection for Enhanced TDoA-Based UWB Localization in Complex Scenarios","authors":"Yiping Yang;Lei Zhang;Zhen Xi;Yu Sun;Qiwei Chen;Mingming Zhang","doi":"10.1109/TWC.2026.3667604","DOIUrl":"10.1109/TWC.2026.3667604","url":null,"abstract":"Previous studies on time difference of arrival (TDoA)-based ultra-wideband (UWB) localization typically employed an arbitrary and fixed reference anchor during the localization process. However, this scheme fails to maintain stable and high-quality performance in complex scenarios, since the localization of mobile targets suffers from multipath interference and the change in sensor-target geometry, while the reference anchor amplifies this effect. To address this issue, we present a dynamic reference anchor selection algorithm, which determines the reference anchor by evaluating the factor that fuses geographical factor and link quality. In addition, we integrate dynamic reference anchor selection into an optimized UWB localization approach to achieve high accuracy. The position is calculated by a constrained Taylor algorithm after UWB calibration and finally fine-tuned by a Kalman filter. The proposed approach was validated using data collected in both laboratory and office scenarios. The experimental results show that the 3D dynamic localization error of the proposed approach reaches 4.9 cm on average. The dynamic reference anchor selection algorithm we proposed improves the overall localization accuracy by 18.4 %, with a dominance of 87.8 % and 100 % in the laboratory and office scenario, respectively. Furthermore, the localization stability and reliability are also validated with a reduction in maximum localization error and avoidance of extreme outliers.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"13025-13041"},"PeriodicalIF":10.7,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147361073","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

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data 基于汽车数据的交通模型的统计分析和端到端性能评估

IF 10.7 1区计算机科学

IEEE Transactions on Wireless Communications Pub Date : 2026-03-04 DOI: 10.1109/TWC.2026.3668104

Marcello Bullo;Amir Ashtari Gargari;Paolo Testolina;Michele Zorzi;Marco Giordani

{"title":"Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data","authors":"Marcello Bullo;Amir Ashtari Gargari;Paolo Testolina;Michele Zorzi;Marco Giordani","doi":"10.1109/TWC.2026.3668104","DOIUrl":"10.1109/TWC.2026.3668104","url":null,"abstract":"Autonomous driving is a major paradigm shift in transportation, with the potential to enhance safety, optimize traffic congestion, and reduce fuel consumption. Although autonomous vehicles rely on advanced sensors and on-board computing systems to navigate without human control, full awareness of the driving environment also requires a cooperative effort via Vehicle-to-Everything (V2X) communication. Specifically, vehicles send and receive sensor observations to/from other vehicles to extend perception beyond their own sensing range. However, transmitting large volumes of data can be challenging for current V2X communication technologies, so data compression represents a crucial solution to reduce the message size and link congestion. In this paper, we present a statistical characterization of automotive data, focusing on Light Detection and Ranging (LiDAR) sensors. Notably, we provide models for the size of both raw and compressed point clouds. The use of statistical traffic models offers several advantages compared to using real data, such as faster simulations, reduced storage requirements, and greater flexibility in the application design. Furthermore, statistical models can be used for understanding traffic patterns and analyzing statistics, which is crucial to design and optimize wireless networks. We validate our statistical models via a Kolmogorov-Smirnoff (KS) test implementing a Bootstrap Resampling scheme. Moreover, we show via ns-3 simulations that using statistical models yields results in terms of latency and throughput that are comparable to real data, which also demonstrates the accuracy of the models.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"13090-13106"},"PeriodicalIF":10.7,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147360951","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

Control-Assisted Beam Prediction and Tracking for UAV Millimeter Wave Communications 无人机毫米波通信控制辅助波束预测与跟踪

IF 10.7 1区计算机科学

IEEE Transactions on Wireless Communications Pub Date : 2026-03-04 DOI: 10.1109/TWC.2026.3668082

Jianjun Zhang;Yongming Huang;Jiaheng Wang;Christos Masouros;Xiaohu You

{"title":"Control-Assisted Beam Prediction and Tracking for UAV Millimeter Wave Communications","authors":"Jianjun Zhang;Yongming Huang;Jiaheng Wang;Christos Masouros;Xiaohu You","doi":"10.1109/TWC.2026.3668082","DOIUrl":"10.1109/TWC.2026.3668082","url":null,"abstract":"In recent years, the unmanned aerial vehicle (UAV) communications have become an important part of the space-air-ground integrated network. Unfortunately, the high mobility, as well as perturbation, of UAV poses a great challenge in aligning narrow high-gain beams between the UAV and base station (BS). To tackle this challenging issue, we propose efficient beam prediction and tracking solutions from the perspective of control in this paper. First of all, for an important and typical flight mode in practice (i.e., the mission flight mode - to assign a series of targets in advance and fly from one target to the next one in turn), we study in depth the underlying control principle and reveal important properties and relationships between beam direction and controlled variables. Then, to exploit the properties and relationships revealed, we propose an efficient learning-based beam prediction and tracking solution. Specifically, we develop an efficient learning model, together with offline training and online inference algorithms. To further reduce the computational complexity, we distinguish two kinds of beam offsets and prove an important property of the mission flight mode, i.e., a multicopter almost keeps fixed attitude and velocity in most part of a flight process, based on which an efficient algorithm is designed. Comprehensive experiment results from open-source software, hardware and real UAV confirm the effectiveness of our control-assisted approach.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"13121-13135"},"PeriodicalIF":10.7,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147360948","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

Cell-Free Massive MIMO-Assisted SWIPT Using Stacked Intelligent Metasurfaces 使用堆叠智能元表面的无细胞大规模mimo辅助SWIPT

IF 10.7 1区计算机科学

IEEE Transactions on Wireless Communications Pub Date : 2026-03-04 DOI: 10.1109/TWC.2026.3668904

Thien Duc Hua;Mohammadali Mohammadi;Hien Quoc Ngo;Michail Matthaiou

{"title":"Cell-Free Massive MIMO-Assisted SWIPT Using Stacked Intelligent Metasurfaces","authors":"Thien Duc Hua;Mohammadali Mohammadi;Hien Quoc Ngo;Michail Matthaiou","doi":"10.1109/TWC.2026.3668904","DOIUrl":"10.1109/TWC.2026.3668904","url":null,"abstract":"This study explores a next-generation multiple access (NGMA) framework for cell-free massive MIMO (CF-mMIMO) systems enhanced by stacked intelligent metasurfaces (SIMs), aiming to improve simultaneous wireless information and power transfer (SWIPT) performance. A fundamental challenge lies in optimally selecting the operating modes of access points (APs) to jointly maximize the received energy and satisfy spectral efficiency (SE) quality-of-service constraints. Practical system impairments, including a non-linear harvested energy model, pilot contamination (PC), channel estimation errors, and reliance on long-term statistical channel state information (CSI), are considered. We derive closed-form expressions for both the achievable SE and the average sum harvested energy (sum-HE). A mixed-integer non-convex optimization problem is formulated to jointly optimize the SIM phase shifts, APs mode selection, and power allocation to maximize average sum-HE under SE and average harvested energy constraints. To solve this problem, we propose a centralized training, decentralized execution (CTDE) framework based on deep reinforcement learning (DRL), which efficiently handles high-dimensional decision spaces. A Markovian environment and a normalized joint reward function are introduced to enhance the training stability across on-policy and off-policy DRL algorithms. Additionally, we provide a two-phase convex-based solution as a theoretical robust performance. Numerical results demonstrate that the proposed DRL-based CTDE framework achieves SWIPT performance comparable to convexification-based solution, while significantly outperforming baselines.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"13056-13072"},"PeriodicalIF":10.7,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11421484","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147360953","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

Task-Specific Resource Orchestration for Effective Concurrent Heterogeneous Task Completion in ISCC Systems ISCC系统中有效并发异构任务完成的任务特定资源编排

IF 10.7 1区计算机科学

IEEE Transactions on Wireless Communications Pub Date : 2026-03-04 DOI: 10.1109/TWC.2026.3668216

Yu Ding;Yangting Chen;Weidang Lu;Nan Zhao;Xianbin Wang

{"title":"Task-Specific Resource Orchestration for Effective Concurrent Heterogeneous Task Completion in ISCC Systems","authors":"Yu Ding;Yangting Chen;Weidang Lu;Nan Zhao;Xianbin Wang","doi":"10.1109/TWC.2026.3668216","DOIUrl":"10.1109/TWC.2026.3668216","url":null,"abstract":"Effective provision of integrated sensing, communication, and computation (ISCC) services in future networks will inevitably increase their operational complexity. The distinct requirements of diverse tasks for tailored ISCC devices further exacerbate the challenge of adaptively allocating constrained resources among concurrent tasks. To address these difficulties, a task-specific joint resource orchestration scheme is proposed in this paper to enhance the effectiveness of ISCC operation and heterogeneous tasks completion. Specifically, the completion of concurrent heterogeneous tasks by different devices relies on the task-specific sharing of limited resource among sensing, real-time data computing and delay-tolerant data processing. Consequently, a value of multi-task completion (VoC) indicator is designed to connect and balance among the diverse demands from concurrent tasks, including computing rate, time delay, and sensing performance. The VoC is then maximized by collaborative optimization of multi-dimensional resources, including transmit beamformer, local and offloading CPU-cycle frequency, data factor assignment and computation capacity. To solve this challenging optimization problem with the lack of close-form solution and coupling of multi-variables, we first transform it into an equivalent form that is tractable to handle. Next, the problem is decomposed into several subproblems, which can be approximately solved by iterative updates. Simulation results demonstrate the performance enhancement of the proposed scheme is superior to the benchmarks.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"13136-13149"},"PeriodicalIF":10.7,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147361074","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

Weighted Centroid Localization in Cell-Free mMIMO: A Stochastic Geometry Perspective 基于随机几何视角的无单元mimo加权质心定位

IF 10.7 1区计算机科学

IEEE Transactions on Wireless Communications Pub Date : 2026-03-04 DOI: 10.1109/TWC.2026.3668077

Enrico Testi;Andrea Giorgetti;Giuseppe Caire

{"title":"Weighted Centroid Localization in Cell-Free mMIMO: A Stochastic Geometry Perspective","authors":"Enrico Testi;Andrea Giorgetti;Giuseppe Caire","doi":"10.1109/TWC.2026.3668077","DOIUrl":"10.1109/TWC.2026.3668077","url":null,"abstract":"This paper investigates the use of the weighted centroid localization (WCL) method for user localization in cell-free massive MIMO (CF-mMIMO) networks. This low-complexity algorithm operates solely on received power measurements from pilot transmissions, requiring no prior channel information or estimation. It enables coarse localization, which is valuable for various network management tasks while incurring minimal cost and overhead. Using a stochastic geometry-based analytical framework, we derive approximations for the localization mean-square error, providing insights into the performance and limitations of WCL. We also present an exact expression for the localization error cumulative distribution function, along with alternative approximations based on moment matching. The predictive capability of the proposed analytical framework is validated through extensive simulations that incorporate key practical impairments, such as multipath propagation, spatially correlated shadowing, and pilot contamination, that are analytically intractable. These results confirm the practical utility of our analysis in supporting the design of CF-mMIMO networks to meet specific localization performance targets.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"13042-13055"},"PeriodicalIF":10.7,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147361071","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

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