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Channel-Aware Gradient Descent Bit-Flipping Algorithm for LDPC Codes LDPC码的信道感知梯度下降位翻转算法
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-02-20 DOI: 10.1109/LCOMM.2025.3543897
Woohong Min;Kyeongcheol Yang
{"title":"Channel-Aware Gradient Descent Bit-Flipping Algorithm for LDPC Codes","authors":"Woohong Min;Kyeongcheol Yang","doi":"10.1109/LCOMM.2025.3543897","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3543897","url":null,"abstract":"The gradient descent bit-flipping with momentum (GDBF-w/M) and probabilistic GDBF-w/M (PGDBF-w/M) algorithms significantly improve the decoding performance of the bit-flipping (BF) algorithm. In this letter, we propose a channel-aware GDBF-w/M algorithm which operates deterministically based on the received values from the additive white Gaussian noise (AWGN) channel. Numerical results show that the proposed algorithm does not only mitigate the error-floor phenomenon of the GDBF-w/M algorithm, but it also has better decoding performance than the PGDBF-w/M algorithm without the need for a random number generator. Furthermore, the complexity of the proposed algorithm is slightly higher than that of the GDBF-w/M algorithm.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"809-813"},"PeriodicalIF":3.7,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818043","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
Improving Multicast Networks Throughput via Joint Multicast Beamforming and Rate Aware Instantly Decodable Network Coding 通过联合组播波束形成和速率感知即时可解码网络编码提高组播网络吞吐量
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-02-19 DOI: 10.1109/LCOMM.2025.3543587
Zhonghui Mei
{"title":"Improving Multicast Networks Throughput via Joint Multicast Beamforming and Rate Aware Instantly Decodable Network Coding","authors":"Zhonghui Mei","doi":"10.1109/LCOMM.2025.3543587","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3543587","url":null,"abstract":"The throughput of multicast networks depends not only on the transmission rate, but also on the number of receivers simultaneously served by the transmit signal. In this letter, we develop a cross-layer approach based on joint multicast beamforming and rate aware instantly decodable network coding (J-MB-RA-IDNC), where instantly decodable network coding (IDNC) is employed at the network layer to increase the number of receivers to be served simultaneously, multicast beamforming is used at the physical layer to direct the beam toward the targeted receivers of the selected rate aware IDNC (RA-IDNC) schedule to improve the transmission rate. Simulation results demonstrate the effectiveness of our proposed scheme.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"794-798"},"PeriodicalIF":3.7,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818044","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
CrossNet: Joint Channel Estimation and Localization in Deep Learning Method 交叉网：深度学习方法中的联合信道估计和定位
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-02-19 DOI: 10.1109/LCOMM.2025.3543579
Chongyang Li;Tianqian Zhang;Shouyin Liu
{"title":"CrossNet: Joint Channel Estimation and Localization in Deep Learning Method","authors":"Chongyang Li;Tianqian Zhang;Shouyin Liu","doi":"10.1109/LCOMM.2025.3543579","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3543579","url":null,"abstract":"This letter proposes CrossNet, a novel deep learning (DL) approach for joint channel estimation and outdoor localization. Similar to fingerprint methods that utilize features such as angle of arrival (AoA) and receive signal strength indicator (RSSI), CrossNet leverages neural networks to extract positional information from channel state information (CSI). However, instead of relying on direct matching within a database, CrossNet learns the implicit relationship between CSI and location through training, enabling more accurate and robust localization. The purpose of joint channel estimation and localization is to obtain more precise positioning information from more accurate channel estimation. We built a single-input single-output (SISO) downlink communication system on the DeepMIMO dataset and generated the necessary data for our experiments. We conducted multiple comparative experiments to evaluate the performance of CrossNet. Extensive comparative experiments demonstrated that CrossNet effectively utilizes pilots for user equipment (UE) localization and significantly improves localization accuracy through joint channel estimation.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"789-793"},"PeriodicalIF":3.7,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818025","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
On Performance of Cooperative Satellite-AAV-Secured Reconfigurable Intelligent Surface Systems With Phase Errors 相位误差下卫星- aav -安全协同可重构智能地面系统性能研究
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-02-19 DOI: 10.1109/LCOMM.2025.3543732
Anh-Tu Le;Thai-Hoc Vu;Tan N. Nguyen;Bui Vu Minh;Miroslav Voznak
{"title":"On Performance of Cooperative Satellite-AAV-Secured Reconfigurable Intelligent Surface Systems With Phase Errors","authors":"Anh-Tu Le;Thai-Hoc Vu;Tan N. Nguyen;Bui Vu Minh;Miroslav Voznak","doi":"10.1109/LCOMM.2025.3543732","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3543732","url":null,"abstract":"This work studies the secrecy outage performance (SOP) of a reconfigurable intelligent surface (RIS)-empowered satellite-autonomous aerial vehicle (AAV) networks, where multiple antennas satellite communicates with its legitimate destination via a decode-and-forward AAV combined with an RIS in the presence of the eavesdropper. Considering the satellite channels and the terrestrial channels obeying Shadowed-Rician fading and Nakagami-m fading, respectively, the existence of the direct connections between AAV and ground terminals, and the imperfection of phase-shift alignment at RIS, we develop an information-theoretic framework to evaluate the SOP in terms of approximate and asymptotic manners. These guide the system engineering insights, including the configuration of bit control at RISs and the transmit power slope. Numerical results not only corroborate the efficacy of the developed framework but also characterize the SOP behaviour under variation of shadowing effects, RIS configurations, direct or non-direct communication scenarios, and AAV’s trajectory in 3D cylindrical coordinates.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"799-803"},"PeriodicalIF":3.7,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817953","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
Robust Beamforming for Uplink RSMA in UAV Communication Systems With Jittering 有抖动的无人机通信系统中上行链路 RSMA 的稳健波束成形
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-02-18 DOI: 10.1109/LCOMM.2025.3543284
Jian Ouyang;Yuting Lu;Chengyang Liu;Biao Ma;Min Lin
{"title":"Robust Beamforming for Uplink RSMA in UAV Communication Systems With Jittering","authors":"Jian Ouyang;Yuting Lu;Chengyang Liu;Biao Ma;Min Lin","doi":"10.1109/LCOMM.2025.3543284","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3543284","url":null,"abstract":"This letter investigates a robust beamforming (BF) scheme for a rate-splitting multiple access-enabled unmanned aerial vehicle (UAV) uplink communication system under jittering effects. Considering multiple two-user pairs, we formulate a worst-case achievable sum rate maximization problem by jointly optimizing the transmit power of ground users and the receive BF of UAV. The difficulties of this problem arise from the complex trigonometric form of the angle-of-arrival (AoA) uncertainties caused by UAV jitter. To address these challenges, we first derive an approximation method based on the second-order Taylor series expansion to simplify the AoA uncertainties, and then convert the resulting random quadratic forms into deterministic forms by applying S-Procedure. Based on these, we propose a penalty function-based successive convex approximation algorithm to obtain a suboptimal solution to the original problem. Simulation results demonstrate the robustness and superiority of the proposed robust BF scheme.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"769-773"},"PeriodicalIF":3.7,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143821231","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 Hybrid Quantum-Classical Machine Learning Approach for Self-Interference Cancellation in Full-Duplex Transceivers 全双工收发器自干扰消除的混合量子经典机器学习方法
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-02-18 DOI: 10.1109/LCOMM.2025.3543318
Mohamed Elsayed;Octavia A. Dobre
{"title":"A Hybrid Quantum-Classical Machine Learning Approach for Self-Interference Cancellation in Full-Duplex Transceivers","authors":"Mohamed Elsayed;Octavia A. Dobre","doi":"10.1109/LCOMM.2025.3543318","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3543318","url":null,"abstract":"This letter proposes a hybrid quantum-classical machine learning (ML) approach for self-interference cancellation (SIC) in full-duplex transceivers. The proposed approach exploits a quantum long short-term memory (QLSTM) layer, integrated with a classical convolutional layer, to perform the non-linear SIC. QLSTM replaces the neural networks in the classical LSTM gates with variational quantum circuits, acting as feature extractors. Simulation results confirm the superiority of the proposed hybrid quantum-classical ML approach by achieving a significantly higher SIC performance than its fully classical counterpart at similar memory and computational requirements.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"774-778"},"PeriodicalIF":3.7,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817919","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
Capacity of Wireless Channels Under Transceiver Hardware Impairments and Adaptive Transmission Techniques 收发器硬件损伤和自适应传输技术下的无线信道容量
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-02-18 DOI: 10.1109/LCOMM.2025.3543217
Yazan H. Al-Badarneh;Osamah S. Badarneh;Mustafa K. Alshawaqfeh;Mazen O. Hasna;Tamer M. Khattab
{"title":"Capacity of Wireless Channels Under Transceiver Hardware Impairments and Adaptive Transmission Techniques","authors":"Yazan H. Al-Badarneh;Osamah S. Badarneh;Mustafa K. Alshawaqfeh;Mazen O. Hasna;Tamer M. Khattab","doi":"10.1109/LCOMM.2025.3543217","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3543217","url":null,"abstract":"We provide an analytic framework for the capacity of adaptive transmission techniques, taking into account both generalized fading channels and Gaussian-distributed transceiver hardware impairments (THI). We derive exact expressions for the capacity of optimal power and rate adaptation, optimal rate adaptation with constant power, channel inversion with fixed rate, and truncated channel inversion with fixed rate. These expressions are general enough to cover a wide range of wireless channels. Due to the high susceptibility of high-data-rate terahertz (THz) communications to THI, we apply our results to investigate the capacity of THz communication systems and confirm the validity of our approach using numerical simulations.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"764-768"},"PeriodicalIF":3.7,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143821823","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
Channel Estimation for Near-Field Line-of-Sight XL-MIMO Communications Using Geometric Prior 基于几何先验的近场XL-MIMO通信信道估计
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-02-18 DOI: 10.1109/LCOMM.2025.3543429
Yuqing Guo;Xufeng Guo;Ying Wang
{"title":"Channel Estimation for Near-Field Line-of-Sight XL-MIMO Communications Using Geometric Prior","authors":"Yuqing Guo;Xufeng Guo;Ying Wang","doi":"10.1109/LCOMM.2025.3543429","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3543429","url":null,"abstract":"This letter investigates the channel estimation for near-field line-of-sight (LoS) extremely-large multiple-input-multiple-output (XL-MIMO) communications, where both the transceivers are equipped with uniform linear arrays (ULAs). For near-field LoS channels within millimeter wave and sub-teraherz frequency bands, electromagnetic waves typically propagate with little diffraction or scattering, implying the propagation direction of each plane-wave component remains almost invariant under the Fourier plane-wave series expansion. This invariance indicates a strong correlation between the propagation directions of transmitted and received plane-wave components, called geometric prior in this letter. Initially, we utilize the wavenumber-domain sparsifying basis to decompose the channel into several plane-wave components. Then, we deduce the potential locations of non-zero entries in the wavenumber-domain channel matrix for any relative orientation angle between the ULAs. Subsequently, a two-stage channel estimation framework is further proposed. Specifically, the first stage aims to derive the orientation angle, and the second stage performs compressed sensing within a reduced search space. Simulation results are provided to validate the robustness of our proposed angle and channel estimation.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"779-783"},"PeriodicalIF":3.7,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817859","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
Graph Network-Based UWB Localization via Learning Spatial-Temporal and Geometric Features 基于图网络的超宽带定位方法及其时空和几何特征的学习
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-02-18 DOI: 10.1109/LCOMM.2025.3543434
Sizhen He;Bo Yang;Tao Liu;Jun Li
{"title":"Graph Network-Based UWB Localization via Learning Spatial-Temporal and Geometric Features","authors":"Sizhen He;Bo Yang;Tao Liu;Jun Li","doi":"10.1109/LCOMM.2025.3543434","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3543434","url":null,"abstract":"In this letter, we propose a Graph-Attention-Recurrent Neural Network (Graph-ARNN) to improve UWB localization in complex environment by incorporating spatial, temporal and geometric information. We first build the ranging measurements from UWB sensors as a large spatial-temporal graph structure, and then the Graph-ARNN including the graph convolutional model, graph-attention model and deep RNN model are designed to extract the high-level spatial-temporal and geometric features which beneficial to tag location estimation. Thus, the localization performance can be improved. We also conduct three real-world experiments with both LOS and NLOS environments to suggest the advantages of our proposed method.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"784-788"},"PeriodicalIF":3.7,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818045","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
Coverage Analysis and Beamwidth Adjustment for Sensing-Assisted mmWave Networks With Beam Misalignment 具有波束失调的传感辅助毫米波网络的覆盖分析与波束宽度调整
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-02-17 DOI: 10.1109/LCOMM.2025.3542787
Yinghong Guo;Yixiao Gu;Junhua Liu;Bin Xia
{"title":"Coverage Analysis and Beamwidth Adjustment for Sensing-Assisted mmWave Networks With Beam Misalignment","authors":"Yinghong Guo;Yixiao Gu;Junhua Liu;Bin Xia","doi":"10.1109/LCOMM.2025.3542787","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3542787","url":null,"abstract":"This letter studies the coverage performance of the sensing-assisted millimeter wave networks with imperfect beam alignment to guide beamwidth adjustment. A sensing-assisted adaptive beamforming (SABF) scheme is proposed where the transmitted beamwidth is dynamically adjusted based on sensing estimation to achieve a favorable tradeoff between beamforming gain and beam misalignment probability. To guide beamwidth optimization in network deployment, the stochastic geometry-based expressions for network coverage probability are derived, considering the beam misalignment caused by imperfect sensing estimation. Numerical results validate the accuracy of the analytical expressions, demonstrating the superiority of the SABF scheme that maximizes overall network coverage.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"754-758"},"PeriodicalIF":3.7,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143821869","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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