Coordination among multiple access points (APs) is integral to IEEE 802.11bn (Wi-Fi 8) for managing contention in dense networks. This letter explores the benefits of Coordinated Spatial Reuse (C-SR) and proposes the use of reinforcement learning to optimize C-SR group selection. We develop a hierarchical multi-armed bandit (MAB) framework that efficiently selects APs for simultaneous transmissions across various network topologies, demonstrating reinforcement learning’s promise in Wi-Fi settings. Among several MAB algorithms studied, we identify the upper confidence bound (UCB) as particularly effective, offering rapid convergence, adaptability to changes, and sustained performance.
{"title":"IEEE 802.11bn Multi-AP Coordinated Spatial Reuse With Hierarchical Multi-Armed Bandits","authors":"Maksymilian Wojnar;Wojciech Ciezobka;Katarzyna Kosek-Szott;Krzysztof Rusek;Szymon Szott;David Nunez;Boris Bellalta","doi":"10.1109/LCOMM.2024.3521079","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3521079","url":null,"abstract":"Coordination among multiple access points (APs) is integral to IEEE 802.11bn (Wi-Fi 8) for managing contention in dense networks. This letter explores the benefits of Coordinated Spatial Reuse (C-SR) and proposes the use of reinforcement learning to optimize C-SR group selection. We develop a hierarchical multi-armed bandit (MAB) framework that efficiently selects APs for simultaneous transmissions across various network topologies, demonstrating reinforcement learning’s promise in Wi-Fi settings. Among several MAB algorithms studied, we identify the upper confidence bound (UCB) as particularly effective, offering rapid convergence, adaptability to changes, and sustained performance.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"428-432"},"PeriodicalIF":3.7,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594337","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}
Pub Date : 2024-12-23DOI: 10.1109/LCOMM.2024.3521045
Shiya Hao;Hua Li;Qianqian Li;Jiaqi Feng;Xiaoming Dai
Orthogonal time sequency multiplexing (OTSM) has recently attracted significant attention due to its enhanced robustness in doubly selective fading channels. However, the computational complexity of conventional OTSM receivers increases significantly in scenarios with fractional Doppler shifts. In this work, we first analyze the effects of inter-Doppler interference on the performance of OTSM systems. We then propose a sparse compensation maximum ratio combining (SC-MRC) detection algorithm to mitigate computational complexity. Specifically, a channel sparsification procedure is implemented by eliminating amplitude values that fall below a predetermined threshold, thereby substantially reducing the computational complexity associated with matrix multiplication. A low-complexity adaptive compensation scheme is introduced to mitigate the associated performance degradation. Simulation results demonstrate that the proposed SC-MRC algorithm achieves superior performance compared to the conventional MRC algorithm while offering reduced computational complexity.
{"title":"Low-Complexity Sparse Compensation MRC Detection Algorithm for OTSM Systems","authors":"Shiya Hao;Hua Li;Qianqian Li;Jiaqi Feng;Xiaoming Dai","doi":"10.1109/LCOMM.2024.3521045","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3521045","url":null,"abstract":"Orthogonal time sequency multiplexing (OTSM) has recently attracted significant attention due to its enhanced robustness in doubly selective fading channels. However, the computational complexity of conventional OTSM receivers increases significantly in scenarios with fractional Doppler shifts. In this work, we first analyze the effects of inter-Doppler interference on the performance of OTSM systems. We then propose a sparse compensation maximum ratio combining (SC-MRC) detection algorithm to mitigate computational complexity. Specifically, a channel sparsification procedure is implemented by eliminating amplitude values that fall below a predetermined threshold, thereby substantially reducing the computational complexity associated with matrix multiplication. A low-complexity adaptive compensation scheme is introduced to mitigate the associated performance degradation. Simulation results demonstrate that the proposed SC-MRC algorithm achieves superior performance compared to the conventional MRC algorithm while offering reduced computational complexity.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 2","pages":"398-402"},"PeriodicalIF":3.7,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403853","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}
Pub Date : 2024-12-20DOI: 10.1109/LCOMM.2024.3520667
Zhengyang Zhang;Ozgur B. Akan
This letter explores Terahertz communication in Mars surface channel models, analyzing Terahertz communication applicable to Mars through Mars-related simulations. Firstly, the basic components and system model of the Terahertz frequency communication system are discussed. Secondly, simulations involving data rate, frequency, transmission distance, power budget, dust density, and signal-to-noise ratio reveal the main relevant factors of Terahertz communication on Mars. The study focuses on signal transmission in the Mars environment under thin Martian air and intense dust storms, analyzing the impact of transmission distance, air molecule absorption, and dust particle scattering. Additionally, this letter examines Terahertz channel coding and capacity analysis in the special Martian environment, aiming to more accurately assess the feasibility of applying Terahertz communication to the Martian surface. Finally, the wireless link is validated through simulations, demonstrating its capabilities and limitations.
{"title":"Analysis of Terahertz Communication Under Dust Storm Conditions on Mars","authors":"Zhengyang Zhang;Ozgur B. Akan","doi":"10.1109/LCOMM.2024.3520667","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3520667","url":null,"abstract":"This letter explores Terahertz communication in Mars surface channel models, analyzing Terahertz communication applicable to Mars through Mars-related simulations. Firstly, the basic components and system model of the Terahertz frequency communication system are discussed. Secondly, simulations involving data rate, frequency, transmission distance, power budget, dust density, and signal-to-noise ratio reveal the main relevant factors of Terahertz communication on Mars. The study focuses on signal transmission in the Mars environment under thin Martian air and intense dust storms, analyzing the impact of transmission distance, air molecule absorption, and dust particle scattering. Additionally, this letter examines Terahertz channel coding and capacity analysis in the special Martian environment, aiming to more accurately assess the feasibility of applying Terahertz communication to the Martian surface. Finally, the wireless link is validated through simulations, demonstrating its capabilities and limitations.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 2","pages":"388-392"},"PeriodicalIF":3.7,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403915","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}
The existing spatial domain anti-jamming research relies on the prior information of the jamming channel to support the anti-jamming design, which is difficult to deal with the malicious jamming with strong concealment. The study proposes a stacked intelligent metasurfaces (SIM) assisted integrated-sensing-and-resistance (ISAR) anti-jamming scheme. Precisely, to obtain the jamming channel information in real time to assist the receiver in filtering out the jamming, an ISAR receiving system model is established, where the SIM consists of two layers of transmissive RIS (TRIS) is deployed around the receiving antenna, functioning as jamming sensing TRIS and anti jamming TRIS in cascade. Then a TRIS based jamming sensing method is proposed to accurately estimate the channel information. And a TRIS anti jamming phase shift optimization algorithm is proposed to optimize the phase shift according to the acquired jamming information, so as to effectively filter out the jamming signal. Simulation results show that the anti-jamming performance of the proposed scheme can approximate the scheme with perfect jamming channel state information under the premise of completely unknown prior information of the jamming channel.
{"title":"Stacked Intelligent Metasurfaces Assisted Integrated-Sensing-and-Resistance Anti Jamming","authors":"Chen Pei;Kaizhi Huang;Liang Jin;Xiaoming Xu;You Zhou;Yuze Guo","doi":"10.1109/LCOMM.2024.3520510","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3520510","url":null,"abstract":"The existing spatial domain anti-jamming research relies on the prior information of the jamming channel to support the anti-jamming design, which is difficult to deal with the malicious jamming with strong concealment. The study proposes a stacked intelligent metasurfaces (SIM) assisted integrated-sensing-and-resistance (ISAR) anti-jamming scheme. Precisely, to obtain the jamming channel information in real time to assist the receiver in filtering out the jamming, an ISAR receiving system model is established, where the SIM consists of two layers of transmissive RIS (TRIS) is deployed around the receiving antenna, functioning as jamming sensing TRIS and anti jamming TRIS in cascade. Then a TRIS based jamming sensing method is proposed to accurately estimate the channel information. And a TRIS anti jamming phase shift optimization algorithm is proposed to optimize the phase shift according to the acquired jamming information, so as to effectively filter out the jamming signal. Simulation results show that the anti-jamming performance of the proposed scheme can approximate the scheme with perfect jamming channel state information under the premise of completely unknown prior information of the jamming channel.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 2","pages":"383-387"},"PeriodicalIF":3.7,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403914","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}
Pub Date : 2024-12-20DOI: 10.1109/LCOMM.2024.3520700
Sangeeta Nalluru;Sapta Girish Neelam
This study introduces an innovative detection strategy for perfectly phase optimized Intelligent Reflecting Surface (IRS)-aided Multiple-Input Multiple-Output (MIMO) systems using Orthogonal Time Sequency Multiplexing (OTSM) modulation, specifically designed to perform well even with hardware limitations such as carrier frequency offset (CFO). The approach leverages maximum ratio combining (MRC) to enhance signal quality by mitigating multipath and inter-antenna interference. It also integrates advanced sub-channel estimation techniques to address CFO and features a meticulously designed frame structure that reduces interference and supports efficient parallel processing. This low-complexity detection method significantly boosts the performance of IRS-aided MIMO-OTSM systems, highlighting its transformative potential for wireless communication. Results demonstrate that an IRS-aided single-user MIMO-OTSM with an MRC detector outperforms traditional detectors, showcasing the effectiveness of incorporating IRS elements.
{"title":"Low Complexity Detection of IRS-Aided MIMO-OTSM Under Perfect Phase Optimization","authors":"Sangeeta Nalluru;Sapta Girish Neelam","doi":"10.1109/LCOMM.2024.3520700","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3520700","url":null,"abstract":"This study introduces an innovative detection strategy for perfectly phase optimized Intelligent Reflecting Surface (IRS)-aided Multiple-Input Multiple-Output (MIMO) systems using Orthogonal Time Sequency Multiplexing (OTSM) modulation, specifically designed to perform well even with hardware limitations such as carrier frequency offset (CFO). The approach leverages maximum ratio combining (MRC) to enhance signal quality by mitigating multipath and inter-antenna interference. It also integrates advanced sub-channel estimation techniques to address CFO and features a meticulously designed frame structure that reduces interference and supports efficient parallel processing. This low-complexity detection method significantly boosts the performance of IRS-aided MIMO-OTSM systems, highlighting its transformative potential for wireless communication. Results demonstrate that an IRS-aided single-user MIMO-OTSM with an MRC detector outperforms traditional detectors, showcasing the effectiveness of incorporating IRS elements.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 2","pages":"393-397"},"PeriodicalIF":3.7,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403984","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}
A novel framework of simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-aided rate-splitting multiple access (RSMA)-enabled bistatic backscatter communication (BiBC) is proposed in this letter, considering double reflections and transmissions at STAR-RIS. An optimization problem is formulated to maximize the sum rate at the reader by the joint design of beamforming at the STAR-RIS and power allocation at the tag, guaranteeing the targeted rate requirement and energy harvesting constraint of each tag. To solve the coupling non-convex problem, an alternating optimization (AO) algorithm based on the successive convex approximation (SCA) and sequential rank-one constraint relaxation (SROCR) is presented. Simulation results reveal that the proposed framework provides ~61 % and ~40 % gains in system sum rate over benchmarks and achieves better trade-off between harvested energy and data rate.
{"title":"Joint Beamforming and Resource Allocation Design for STAR-RIS Aided RSMA-BiBC System","authors":"Chenyan Xiao;Fei Du;Dacai Wei;Xiaoqing Wang;Xiongwen Zhao","doi":"10.1109/LCOMM.2024.3520125","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3520125","url":null,"abstract":"A novel framework of simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-aided rate-splitting multiple access (RSMA)-enabled bistatic backscatter communication (BiBC) is proposed in this letter, considering double reflections and transmissions at STAR-RIS. An optimization problem is formulated to maximize the sum rate at the reader by the joint design of beamforming at the STAR-RIS and power allocation at the tag, guaranteeing the targeted rate requirement and energy harvesting constraint of each tag. To solve the coupling non-convex problem, an alternating optimization (AO) algorithm based on the successive convex approximation (SCA) and sequential rank-one constraint relaxation (SROCR) is presented. Simulation results reveal that the proposed framework provides ~61 % and ~40 % gains in system sum rate over benchmarks and achieves better trade-off between harvested energy and data rate.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 2","pages":"378-382"},"PeriodicalIF":3.7,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403964","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}
Pub Date : 2024-12-18DOI: 10.1109/LCOMM.2024.3519768
Biao Ma;Min Lin;Bai Zhao;Huimin Ouyang;Jiangzhou Wang
In this letter, a robust transmit scheme is proposed to facilitate the co-design of communication and control in multi-loop wireless control systems (WCS), where the controller equipped with multi-antenna adopts beamforming (BF) technology to suppress various interference and improve link reliability simultaneously. To this end, we first establish an optimization problem to minimize the weighted sum of control cost deviation and energy consumption, while satisfying the control stability of each loop and the constraints of transmit power budget and internetwork interference level. Since the original problem is non-convex, we then convert the control stability constraint into a probabilistic constraint form with the lower bound probability of successful transmission. Furthermore, by jointly using the Bernstein Inequalities and successive convex approximation approach, we propose a robust BF scheme to implement communication and control co-design for multi-loop control system. Finally, simulation results demonstrate that our proposed method can significantly reduce the total system cost while maintaining the control stability and the interference power less than the acceptable level.
{"title":"Robust Beamforming for Communication and Control Co-Design in Multi-Loop Wireless Control System","authors":"Biao Ma;Min Lin;Bai Zhao;Huimin Ouyang;Jiangzhou Wang","doi":"10.1109/LCOMM.2024.3519768","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3519768","url":null,"abstract":"In this letter, a robust transmit scheme is proposed to facilitate the co-design of communication and control in multi-loop wireless control systems (WCS), where the controller equipped with multi-antenna adopts beamforming (BF) technology to suppress various interference and improve link reliability simultaneously. To this end, we first establish an optimization problem to minimize the weighted sum of control cost deviation and energy consumption, while satisfying the control stability of each loop and the constraints of transmit power budget and internetwork interference level. Since the original problem is non-convex, we then convert the control stability constraint into a probabilistic constraint form with the lower bound probability of successful transmission. Furthermore, by jointly using the Bernstein Inequalities and successive convex approximation approach, we propose a robust BF scheme to implement communication and control co-design for multi-loop control system. Finally, simulation results demonstrate that our proposed method can significantly reduce the total system cost while maintaining the control stability and the interference power less than the acceptable level.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"423-427"},"PeriodicalIF":3.7,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594378","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}
The emerging B5G and 6G applications have brought forth the need for high-precision indoor localization. However, the complexity of indoor environments poses significant challenges to this goal, particularly due to the presence of non-line-of-sight (NLOS) conditions and multipath effects. This letter proposes an attention-based positioning network (ABPN) that exploits fine-grained features from MIMO channel state information (CSI) by spatial attention to combat the limited receptive field of traditional convolutional neural networks (CNNs) as well as channel attention to discriminate the importance of different wireless channels. Extensive experiments, conducted on two real-world datasets, demonstrate that the proposed ABPN outperforms the popular PirnatEco, AAresCNN, MIMOnet and CLnet with an average localization accuracy improvement of over 50%.
{"title":"A Deep Learning-Based Indoor Positioning Approach Using Channel and Spatial Attention","authors":"Jiawei Zhang;Zhendong Xu;Shiyu Zhang;Keke Hu;Yuan Shen","doi":"10.1109/LCOMM.2024.3519340","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3519340","url":null,"abstract":"The emerging B5G and 6G applications have brought forth the need for high-precision indoor localization. However, the complexity of indoor environments poses significant challenges to this goal, particularly due to the presence of non-line-of-sight (NLOS) conditions and multipath effects. This letter proposes an attention-based positioning network (ABPN) that exploits fine-grained features from MIMO channel state information (CSI) by spatial attention to combat the limited receptive field of traditional convolutional neural networks (CNNs) as well as channel attention to discriminate the importance of different wireless channels. Extensive experiments, conducted on two real-world datasets, demonstrate that the proposed ABPN outperforms the popular PirnatEco, AAresCNN, MIMOnet and CLnet with an average localization accuracy improvement of over 50%.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 2","pages":"373-377"},"PeriodicalIF":3.7,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403993","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}
Pub Date : 2024-12-16DOI: 10.1109/LCOMM.2024.3518088
Ningping Yu;Xianling Wang;Yue Tian
The increasing demand for indoor location-based services (LBS) and the widespread use of mobile devices have spurred the development of accurate indoor localization systems for smartphones. Implementing these systems requires real-time responsiveness, non-cooperative communication with targets, and reliable localization capabilities. However, conventional active and passive localization systems face challenges, such as the necessity of target cooperation or latency caused by low measurement frequency. Additionally, the uncertainty in localization evaluation is often overlooked. In response to these issues, we present a WiFi-assisted non-cooperative fingerprint localization system (WiNCDN) that utilizes a dropout-based neural network. WiNCDN quickly gathers a large number of responses from WiFi devices by employing a hiding mechanism in the 802.11 protocol. Moreover, the system can make informed decisions based on localization confidence. Our findings demonstrate that WiNCDN enables real-time target tracking in various scenarios, including line-of-sight (LoS) and non-line-of-sight (NLoS) situations. Compared to existing methods, the results indicate that WiNCDN achieves a better balance between accuracy and robustness.
{"title":"WiNCDN: A Novel WiFi-Assisted Non-Cooperative Indoor Localization System via Dropout-Based Neural Network","authors":"Ningping Yu;Xianling Wang;Yue Tian","doi":"10.1109/LCOMM.2024.3518088","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3518088","url":null,"abstract":"The increasing demand for indoor location-based services (LBS) and the widespread use of mobile devices have spurred the development of accurate indoor localization systems for smartphones. Implementing these systems requires real-time responsiveness, non-cooperative communication with targets, and reliable localization capabilities. However, conventional active and passive localization systems face challenges, such as the necessity of target cooperation or latency caused by low measurement frequency. Additionally, the uncertainty in localization evaluation is often overlooked. In response to these issues, we present a WiFi-assisted non-cooperative fingerprint localization system (WiNCDN) that utilizes a dropout-based neural network. WiNCDN quickly gathers a large number of responses from WiFi devices by employing a hiding mechanism in the 802.11 protocol. Moreover, the system can make informed decisions based on localization confidence. Our findings demonstrate that WiNCDN enables real-time target tracking in various scenarios, including line-of-sight (LoS) and non-line-of-sight (NLoS) situations. Compared to existing methods, the results indicate that WiNCDN achieves a better balance between accuracy and robustness.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 2","pages":"353-357"},"PeriodicalIF":3.7,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403818","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}
Pub Date : 2024-12-16DOI: 10.1109/LCOMM.2024.3517670
Zhongjun Yang;Li Chen
For polar codes, bit-flipping strategy can significantly improve the error-correction performance of the belief propagation (BP) decoding. However, the existing BP flipping (BPF) decoding algorithms require many attempts, due to their inefficiency in locating the erroneous positions. This leads to high decoding complexity, limiting their practical applications, especially for long polar codes. In this letter, an enhanced BPF (EBPF) decoding algorithm is proposed. It requires fewer flipping attempts, but yields an advanced decoding performance. By better utilizing the reliability and divergence of bit estimations, a novel weighted metric (WM) is introduced to identify the possible erroneous positions. During each new decoding attempt, the EBPF decoding takes turns to flip these positions. Our simulation results show that, with the same number of flipping attempts, the proposed decoding outperforms the generalized BPF (GBPF) decoding and the state-of-the-art BP correction (BPC) decoding.
{"title":"An Enhanced Belief Propagation Decoding Algorithm With Bit-Flipping for Polar Codes","authors":"Zhongjun Yang;Li Chen","doi":"10.1109/LCOMM.2024.3517670","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3517670","url":null,"abstract":"For polar codes, bit-flipping strategy can significantly improve the error-correction performance of the belief propagation (BP) decoding. However, the existing BP flipping (BPF) decoding algorithms require many attempts, due to their inefficiency in locating the erroneous positions. This leads to high decoding complexity, limiting their practical applications, especially for long polar codes. In this letter, an enhanced BPF (EBPF) decoding algorithm is proposed. It requires fewer flipping attempts, but yields an advanced decoding performance. By better utilizing the reliability and divergence of bit estimations, a novel weighted metric (WM) is introduced to identify the possible erroneous positions. During each new decoding attempt, the EBPF decoding takes turns to flip these positions. Our simulation results show that, with the same number of flipping attempts, the proposed decoding outperforms the generalized BPF (GBPF) decoding and the state-of-the-art BP correction (BPC) decoding.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 2","pages":"348-352"},"PeriodicalIF":3.7,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403857","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}
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