IEEE Communications Letters最新文献_第3页

A Cost-Efficient Joint Optimization Approach for Downlink Multiuser Scheduling and Precoding 一种低成本的下行多用户调度和预编码联合优化方法

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-24 DOI: 10.1109/LCOMM.2025.3553486

Hongrui Lei;Zhenyao He;Jiacheng Yao;Jindan Xu;Ritao Cheng;Wei Xu

{"title":"A Cost-Efficient Joint Optimization Approach for Downlink Multiuser Scheduling and Precoding","authors":"Hongrui Lei;Zhenyao He;Jiacheng Yao;Jindan Xu;Ritao Cheng;Wei Xu","doi":"10.1109/LCOMM.2025.3553486","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3553486","url":null,"abstract":"Joint design of multiuser scheduling and precoding is crucial in downlink multiple-input multiple-output (MIMO) transmissions, which generally involves mixed-integer programming with tightly coupled variables, making it difficult to solve. Existing methods tackle this challenging problem either by employing convex optimization techniques with high complexity, or by decoupling the problem into two subproblems: heuristic scheduling followed by separate precoding design, which often results in noticeable performance loss. In this letter, we propose a novel low-cost joint design approach for scheduling and precoding, which, compared to existing methods, can achieve superior performance while maintaining low computational complexity. Specifically, we formulate an approximate throughput maximization joint optimization problem leveraging signal-to-leakage-and-noise ratio (SLNR). This formulation facilitates the joint design by allowing us to directly determine the optimal precoding in closed forms and equivalently transform the joint design into a reformulation that relies solely on multiuser scheduling. We then propose a low-complexity iterative algorithm where closed-form solutions are derived in each iteration.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 5","pages":"1052-1056"},"PeriodicalIF":3.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143938025","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}

引用次数: 0

Fractional Delay-Doppler Channel Estimation for OTFS Systems Based on Segmentation Technique and Sparse Bayesian Learning 基于分割技术和稀疏贝叶斯学习的OTFS系统分数延迟-多普勒信道估计

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-24 DOI: 10.1109/LCOMM.2025.3553831

Xiangjun Li;Yu Liang;Zhengchun Zhou;Pingzhi Fan

引用次数: 0

Decentralized Federated Learning for Wireless Traffic Prediction 无线流量预测的分散联邦学习

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-21 DOI: 10.1109/LCOMM.2025.3553678

Haochang Zhang;Sirui Huang;Xiaotian Zhou;Chuanting Zhang;Junrong Jia

引用次数: 0

Optimizing TTD-Based Wideband Hybrid Beamforming for Energy-Efficient Wireless Power Transfer 优化基于ttd的宽带混合波束形成，实现高能效无线电力传输

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-21 DOI: 10.1109/LCOMM.2025.3553763

Abdolrasoul Sakhaei Gharagezlou;Mehdi Rasti;Mehdi Monemi;Samad Ali;Matti Latva-Aho

{"title":"Optimizing TTD-Based Wideband Hybrid Beamforming for Energy-Efficient Wireless Power Transfer","authors":"Abdolrasoul Sakhaei Gharagezlou;Mehdi Rasti;Mehdi Monemi;Samad Ali;Matti Latva-Aho","doi":"10.1109/LCOMM.2025.3553763","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3553763","url":null,"abstract":"Radio frequency wireless power transfer (WPT) is a promising technology to charge low-power devices in future wireless systems. In this letter, energy-efficient WPT in wideband systems is studied, ensuring that each device meets its minimum energy harvesting (EH) requirement under both perfect and imperfect channel state information (CSI) scenarios. To this end, the digital beamformer, the true time delayers (TTDs), and the phase shifter-based analog beamformer are jointly optimized. Since the energy beamforming flexibility depends on the base station (BS) antenna’s architecture, the BS employs two hybrid beamforming architectures, sub-connected (SC) and fully-connected (FC) TTD, which charge EH devices in the near-field region. Since minimizing the transmit power is non-convex and decision variables are highly coupled, an alternating optimization algorithm based on semi-definite programming and semi-definite relaxation is proposed to solve the original problem. Furthermore, a matrix scale reduction scheme is leveraged to decrease computational complexity. Simulation results show that the SC architecture performs better than the FC architecture in both perfect and imperfect CSI scenarios. Additionally, the SC architecture decreases convergence time relative to the FC architecture by more than ten times.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 5","pages":"1062-1066"},"PeriodicalIF":3.7,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937965","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}

引用次数: 0

Orthogonal Time Frequency Space With Sub-Band Index Modulation 子带折射率调制正交时频空间

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-20 DOI: 10.1109/LCOMM.2025.3553446

Si-Yu Zhang;Yue-Xia Zhang;Behnam Shahrrava

引用次数: 0

Joint Resource Allocation and Beamforming Design for BD-RIS-Assisted Wireless-Powered Cooperative Mobile Edge Computing 基于bd - ris的无线协同移动边缘计算联合资源分配与波束成形设计

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-19 DOI: 10.1109/LCOMM.2025.3552901

Xintong Qin;Wenjuan Yu;Qiang Ni;Zhengyu Song;Tianwei Hou;Xin Sun

{"title":"Joint Resource Allocation and Beamforming Design for BD-RIS-Assisted Wireless-Powered Cooperative Mobile Edge Computing","authors":"Xintong Qin;Wenjuan Yu;Qiang Ni;Zhengyu Song;Tianwei Hou;Xin Sun","doi":"10.1109/LCOMM.2025.3552901","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3552901","url":null,"abstract":"The wireless-powered mobile edge computing (MEC) has emerged as a promising technique to provide energy supplies and computing services for users in Internet of Things (IoT). However, the limited computational resources and poor channel conditions in traditional wireless-powered MEC systems hinder their ability to meet growing user demands. In this letter, we propose a novel beyond-diagonal reconfigurable intelligent surface (BD-RIS) assisted wireless-powered cooperative MEC model to address these challenges. To maximize the total number of completed task bits, we develop a joint resource allocation and beamforming algorithm based on the penalty and Riemannian trust-region methods to jointly optimize the energy transfer time, transmit power, CPU frequencies of users, bandwidth allocation, and the beamforming of BD-RIS. Simulation results demonstrate that the proposed cooperative computing model significantly improves the total number of completed task bits and highlights the superiority of fully-connected BD-RIS over RIS and simultaneous transmission and reflection RIS (STAR-RIS) in wireless-powered MEC systems.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 5","pages":"1042-1046"},"PeriodicalIF":3.7,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937997","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}

引用次数: 0

Outage Constrained Design for RIS-Assisted Integrated Sensing and Communication Systems ris辅助集成传感与通信系统的中断约束设计

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-18 DOI: 10.1109/LCOMM.2025.3552616

Xingxing Huang;Guoping Zhang;Hongbo Xu;Dong Wang;Kunyu Li;Ze Wang

引用次数: 0

Queue-Stability Constrained Robust Secure Beamforming in Satellite-Terrestrial Integrated Networks 星地融合网络中队列稳定约束鲁棒安全波束形成

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-18 DOI: 10.1109/LCOMM.2025.3551743

Mingyi Ji;Min Lin;Zining Wang;Jian Ouyang;Naofal Al-Dhahir

{"title":"Queue-Stability Constrained Robust Secure Beamforming in Satellite-Terrestrial Integrated Networks","authors":"Mingyi Ji;Min Lin;Zining Wang;Jian Ouyang;Naofal Al-Dhahir","doi":"10.1109/LCOMM.2025.3551743","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3551743","url":null,"abstract":"This letter proposes a robust secure beamforming (BF) scheme for a satellite-terrestrial integrated network (STIN), where earth stations are served by the satellite network in presence of multiple eavesdroppers, and the terrestrial network operating the same spectrum provides multicast services to terrestrial users. Unlike most existing works that merely focused on static networks, we consider the effects of random data arrivals on system performance, and establish queue stability condition based on the data queue. Then, we exploit the imperfect channel state information to formulate an optimization problem, aiming at minimizing the long-term average power, while meeting quality-of service constraints, transmit power budget and data-queue stability constraints. To solve this mathematically complex problem, we apply the Lyapunov optimization technique to convert the original problem to a per-slot penalized power minimization problem, and propose an iterative algorithm combining with Bernstein inequality to acquire the BF weight vectors. Finally, simulation results validate that our proposed scheme enhances the secrecy performance of the STIN, achieving a favorable trade-off between power consumption and queue stability.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 5","pages":"1032-1036"},"PeriodicalIF":3.7,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937945","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}

引用次数: 0

Optimal Pulse Energy Modulation for SWIPT Systems With Integrated Receivers 集成接收机SWIPT系统的最佳脉冲能量调制

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-13 DOI: 10.1109/LCOMM.2025.3551118

Angelos Gkekas;Victoria E. Galanopoulou;Odysseas G. Karagiannidis;Sotiris A. Tegos;Panagiotis D. Diamantoulakis

引用次数: 0

Intelligent Topology Management for TDOA-Based Localization in IoT Networks 物联网网络中基于tdoa定位的智能拓扑管理

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-12 DOI: 10.1109/LCOMM.2025.3550860

Nasir Saeed

{"title":"Intelligent Topology Management for TDOA-Based Localization in IoT Networks","authors":"Nasir Saeed","doi":"10.1109/LCOMM.2025.3550860","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3550860","url":null,"abstract":"Time Difference of Arrival (TDOA) localization plays a pivotal role in IoT networks, driving applications such as smart city infrastructure, industrial asset tracking, and environmental monitoring. However, traditional centralized localization approaches impose excessive computational demands and communication overhead, making them unsuitable for resource-constrained IoT deployments. This letter introduces a novel distributed TDOA localization framework, leveraging intelligent topology management to dynamically adapt network configurations for optimal performance. An Iterative Multi-Stage Adaptive Estimation (MAE) algorithm is developed, providing a robust closed-form solution for node interaction optimization, significantly improving the trade-off between computational efficiency and communication overhead. The proposed method achieves superior localization accuracy by mitigating the impact of measurement noise and addressing energy constraints inherent to IoT environments. Simulation results demonstrate substantial gains in positioning performance, energy efficiency, and scalability compared to state-of-the-art algorithms, highlighting its suitability for real-time IoT applications in complex and dynamic network scenarios.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 5","pages":"1023-1027"},"PeriodicalIF":3.7,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937967","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}

引用次数: 0