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A Stochastic-Geometry Analysis on Scaling Up Cell-Free Massive MIMO Systems With a Cost-Efficient Topology 利用经济高效的拓扑结构扩展无蜂窝大规模多输入多输出系统的随机几何分析
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-02-10 DOI: 10.1109/LCOMM.2025.3540544
Jiajun Gao;Qi Zhang;Jun Zhang;Shi Jin
{"title":"A Stochastic-Geometry Analysis on Scaling Up Cell-Free Massive MIMO Systems With a Cost-Efficient Topology","authors":"Jiajun Gao;Qi Zhang;Jun Zhang;Shi Jin","doi":"10.1109/LCOMM.2025.3540544","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3540544","url":null,"abstract":"Cell-free massive multiple-input multiple-output (CF-mMIMO) has emerged as a prominent technology in the wireless communication due to its outstanding performance. However, the common star topology requires all access points (APs) connect to the central processing unit (CPU) through individual fronthauls, leading to high cost and difficult scalability. In this letter, we use a cost-efficient topology to scale up the CF-mMIMO system, which allows the new AP (NAP) to connect to the CPU through existing APs (EAPs), called chain topology. As the EAP needs to forward signals from NAPs to the CPU, we assume each EAP can connect only a limited number of NAPs. Utilizing stochastic geometry tools, closed-form expressions of fronthaul length for star and chain topology are derived, respectively. Based on them, we find that the chain topology can significantly reduce the system cost. Moreover, the benefits of the chain topology become increasingly evident as the system scales up.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"689-693"},"PeriodicalIF":3.7,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143821587","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
A Reputation Incentive Mechanism Based Offloading Strategy for AAV-Assisted Edge Computing Systems
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-02-10 DOI: 10.1109/LCOMM.2025.3540055
Sicheng Liu;Wenxiao Shi;Xue Wang
{"title":"A Reputation Incentive Mechanism Based Offloading Strategy for AAV-Assisted Edge Computing Systems","authors":"Sicheng Liu;Wenxiao Shi;Xue Wang","doi":"10.1109/LCOMM.2025.3540055","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3540055","url":null,"abstract":"With the rapid advancement of autonomous aerial vehicle (AAV) technology, AAVs have brought new possibilities to edge computing (EC), offering enhanced flexibility, mobility, and scalability for computational tasks at the network edge. The issues of data credibility and device selfishness in the offloading process have not been adequately addressed by existing research. Motivated by this, we derive the computation model of AAV-assisted edge computing (UEC) offloading system based on a reputation incentive mechanism and propose an edge computation offloading algorithm for UEC systems that incorporates a reputation incentive mechanism (ECORI). Numerical results indicate that the proposed algorithm significantly improves resource utilization and task completion success rate by suppressing and filtering the reputation values of unreliable devices.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"684-688"},"PeriodicalIF":3.7,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143821589","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
A Blind Spatial Spectrum Sensing Algorithm for Noncircular Signals 非圆形信号的盲空间光谱传感算法
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-02-07 DOI: 10.1109/LCOMM.2025.3539762
Xinquan Qiu;Yuan Jiang;Lei Zhao
{"title":"A Blind Spatial Spectrum Sensing Algorithm for Noncircular Signals","authors":"Xinquan Qiu;Yuan Jiang;Lei Zhao","doi":"10.1109/LCOMM.2025.3539762","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3539762","url":null,"abstract":"In cognitive radio, most spatial spectrum sensing algorithms ignore the characteristic of the noncircular (NC) signals that are common in modern communication systems. In this letter, we propose a novel blind spatial spectrum sensing algorithm for NC signals. First, the spatial spectrum of the NC signals is improved by utilizing the complementary covariance. On this basis, we present the maximum-minimum spatial spectrum of the NC signals (NC-MMSS) detection, which can detect the signal of primary user (PU) and provide corresponding angle of arrival (AoA) information. Then the theoretical expressions of probability of false alarm, decision threshold, and probability of detection are derived. Finally, simulation results verify that the proposed method is superior to the existing spatial spectrum sensing algorithms.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"679-683"},"PeriodicalIF":3.7,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143821590","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
Active RIS-Assisted Communication Systems With Discrete Phase Shifts
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-02-06 DOI: 10.1109/LCOMM.2025.3538932
Zhaoying Mo;Yiyang Ni;Yaxuan Liu;Haitao Zhao;Longze Li;Yan Cai
{"title":"Active RIS-Assisted Communication Systems With Discrete Phase Shifts","authors":"Zhaoying Mo;Yiyang Ni;Yaxuan Liu;Haitao Zhao;Longze Li;Yan Cai","doi":"10.1109/LCOMM.2025.3538932","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3538932","url":null,"abstract":"Reconfigurable intelligent surface (RIS) has made significant contributions to enhancing wireless coverage via the effective management of scattering radio environment. This letter centers on an active RIS-assisted communication system over Nakagami-m fading channels where the discrete phase shifter is taken into consideration. We first obtain the approximate expression of ergodic achievable rate. Analyzing the expression shows that 4-bit quantization can achieve over 99% of the performance of continuous phase shifts. We also make a comparison between active RIS and passive RIS. Our theoretical analysis illustrates that passive RIS outperforms active RIS for large numbers of RlS elements. The numerical results are consistent with our analysis results. Finally, we propose a low-complexity power allocation scheme to improve the system rate effectively.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"674-678"},"PeriodicalIF":3.7,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143821662","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
Iterative Block DFE for Doubly Selective Fading Channels
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-02-05 DOI: 10.1109/LCOMM.2025.3539305
Yi-Cheng Lin;Syuan-Siang Fang;Kuei-Chiang Lai
{"title":"Iterative Block DFE for Doubly Selective Fading Channels","authors":"Yi-Cheng Lin;Syuan-Siang Fang;Kuei-Chiang Lai","doi":"10.1109/LCOMM.2025.3539305","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3539305","url":null,"abstract":"We present the iterative block decision-feedback equalizer aimed at overcoming channel’s frequency and time selectivity in single-carrier block transmission systems.The algorithm features circularly banded feedforward and feedback filters to combat the inter-symbol and inter-carrier interference, while achieving a reduced computational complexity. Simulation results demonstrate the efficacy of the algorithm.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"635-639"},"PeriodicalIF":3.7,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611743","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
Optimized Scheduling Transmissions for Wireless Powered Federated Learning Networks
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-02-05 DOI: 10.1109/LCOMM.2025.3539543
Slavche Pejoski;Marija Poposka;Zoran Hadzi-Velkov
{"title":"Optimized Scheduling Transmissions for Wireless Powered Federated Learning Networks","authors":"Slavche Pejoski;Marija Poposka;Zoran Hadzi-Velkov","doi":"10.1109/LCOMM.2025.3539543","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3539543","url":null,"abstract":"We have developed a resource allocation scheme that minimizes the training process of federated machine models in the wireless powered communication networks. The new resource sharing method allows energy harvesting (EH) clients (EHCs) to train their local models for extended periods that overlap with data transmissions of other EHCs. Training latency minimization leads to mixed integer non-convex problem, which is tackled by exploiting the sensitivity properties of the corresponding Lagrange multipliers. If the local training models at all EHCs use equal size datasets, the optimal transmission order is in the decreasing order of the EHC-base station channels gains. The proposed resource allocations significantly reduce the training latency compared to the state-of-the-art benchmark schemes.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"640-644"},"PeriodicalIF":3.7,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611869","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
LDPC Codes for Quantitative Group Testing With a Non-Binary Alphabet
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-02-04 DOI: 10.1109/LCOMM.2025.3538910
Mgeni Makambi Mashauri;Alexandre Graell i Amat;Michael Lentmaier
{"title":"LDPC Codes for Quantitative Group Testing With a Non-Binary Alphabet","authors":"Mgeni Makambi Mashauri;Alexandre Graell i Amat;Michael Lentmaier","doi":"10.1109/LCOMM.2025.3538910","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3538910","url":null,"abstract":"We propose and analyze a novel scheme based on LDPC codes for quantitative group testing. The key underlying idea is to augment the bipartite graph by introducing hidden non-binary variables to strengthen the message-passing decoder. This is achieved by grouping items into bundles of size q within the test matrix, while keeping the testing procedure unaffected. The decoder, inspired by some works on counter braids, passes lower and upper bounds on the bundle values along the edges of the graph, with the gap between the two shrinking with the decoder iterations. Through a density evolution (DE) analysis and finite length simulations, we show that the proposed scheme significantly outperforms its binary counterpart with limited increase in complexity.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"630-634"},"PeriodicalIF":3.7,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611860","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
Deep Learning-Based Detection for RSMA With Orthogonal Time Frequency Space Modulation
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-02-04 DOI: 10.1109/LCOMM.2025.3538890
Anagha K. Kowshik;Sanjeev Gurugopinath;Sami Muhaidat
{"title":"Deep Learning-Based Detection for RSMA With Orthogonal Time Frequency Space Modulation","authors":"Anagha K. Kowshik;Sanjeev Gurugopinath;Sami Muhaidat","doi":"10.1109/LCOMM.2025.3538890","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3538890","url":null,"abstract":"The increasing demands for high-speed and reliable wireless communication in dynamic environments, such as high-Doppler scenarios, pose significant challenges to existing modulation and access schemes. Traditional techniques including orthogonal frequency division multiplexing (OFDM) and non-orthogonal multiple access (NOMA) are not suitable under such conditions due to their susceptibility to interference and Doppler effects. To address these challenges, this letter integrates rate-splitting multiple access (RSMA) with orthogonal time frequency space (OTFS) modulation, offering a novel robust solution for achieving high data rates and improved spectral efficiency. Further, we propose a novel dual block deep learning (DBDL) receiver for RSMA-OTFS, leveraging long short-term memory (LSTM) networks to enable signal detection without relying on successive interference cancellation. The DBDL receiver operates through two parallel deep neural networks, facilitating simultaneous decoding of common and private messages as a single process. We evaluate the symbol error rate (SER) performance of the DBDL receiver, demonstrating its parity with the optimal maximum likelihood (ML) receiver. Furthermore, we compare RSMA-OTFS with RSMA-OFDM, NOMA-OTFS, and NOMA-OFDM in terms of SER and rate region. Our results establish RSMA-OTFS as a promising solution due to its superior rate region performance across all other techniques, albeit at a slight expense in its SER compared to NOMA-OTFS.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"669-673"},"PeriodicalIF":3.7,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143821825","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
TCC-SemCom: A Transformer-CNN Complementary Block-Based Image Semantic Communication
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-02-04 DOI: 10.1109/LCOMM.2025.3538486
Guo Cheng;Baolin Chong;Hancheng Lu
{"title":"TCC-SemCom: A Transformer-CNN Complementary Block-Based Image Semantic Communication","authors":"Guo Cheng;Baolin Chong;Hancheng Lu","doi":"10.1109/LCOMM.2025.3538486","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3538486","url":null,"abstract":"Semantic communication (SemCom), as a paradigm beyond bit communication, is regarded as an effective solution to address the challenges posed by the growing volume of vision-based traffic. Existing semantic image communication methods are mostly based on convolutional neural networks (CNNs) or Transformers, which focus on different structural semantics. Specifically, CNNs with local convolution operations excel at capturing local semantic features, while Transformers based on multi-head attention mechanism, are better at modeling long-range dependencies and global semantic information. To effectively fuse these two models and leverage both advantages, we propose a parallel Transformer-CNN complementary (TCC) block, where CNNs and Transformers are combined to enhance the extraction of both local and global semantic information. Furthermore, we propose a TCC-based SemCom (TCC-SemCom) scheme for wireless image transmission. Experimental results verify that TCC-SemCom significantly outperforms existing schemes in terms of peak signal-to-noise ratio (PSNR) and multi-scale structural similarity index (MS-SSIM).","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"625-629"},"PeriodicalIF":3.7,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611742","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
Strengthening Data Confidentiality in 6G Cognitive Networks Through Secrecy Rate Optimization
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-01-31 DOI: 10.1109/LCOMM.2025.3537285
Umar Ghafoor
{"title":"Strengthening Data Confidentiality in 6G Cognitive Networks Through Secrecy Rate Optimization","authors":"Umar Ghafoor","doi":"10.1109/LCOMM.2025.3537285","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3537285","url":null,"abstract":"To address the increasing need for secure resource allocation and bandwidth management in 6th generation (6G) networks, this letter presents a novel cluster-based cognitive radio-enabled downlink hybrid access (CCRDHA) approach. Traditional methods struggle to efficiently use the spectrum, leading to the adoption of cognitive networks (CNs). In CN, licensed mobile sets (LMSs) connect to licensed towers (LTs), while cognitive mobile sets (CMSs) connect to cognitive towers (CTs) via opportunistic spectrum sensing. The CCRDHA approach combines orthogonal access (OA) and non-orthogonal access (NOA) to boost the secrecy rate (SR) in the presence of passive eavesdropper, optimize CMS access to cluster (CMSC), enhance CMS connectivity with CTs (CMSCT), fairness in CMSCT (FCMSCT), and fair power distribution (FPD). By formulating the novel problem as a mixed-integer non-linear programming (MINLP) model, solved using an <inline-formula> <tex-math>$epsilon $ </tex-math></inline-formula>-optimal outer approximation algorithm (OAA), CCRDHA outperforms conventional OA-CN and NOA-CN methods, improving key parameters (KPs) such as SR, CMSC, CMSCT, FCMSCT, quality of service (QoS) while reducing spectrum wastage (SW) and spectrum collision (SC).","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"665-668"},"PeriodicalIF":3.7,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143821870","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
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