Pub Date : 2024-11-06DOI: 10.1109/LCOMM.2024.3492711
Alexander von Bank;Eike-Manuel Edelmann;Sisi Miao;Jonathan Mandelbaum;Laurent Schmalen
Spiking neural networks (SNNs) are neural networks that enable energy-efficient signal processing due to their event-based nature. This letter proposes a novel decoding algorithm for low-density parity-check (LDPC) codes that integrates SNNs into belief propagation (BP) decoding by approximating the check node update equations using SNNs. For the (273,191) and (1023,781) finite-geometry LDPC code, the proposed decoder outperforms sum-product decoder at high signal-to-noise ratios (SNRs). The decoder achieves a similar bit error rate to normalized sum-product decoding with successive relaxation. Furthermore, the novel decoding operates without requiring knowledge of the SNR, making it robust to SNR mismatch.
{"title":"Spiking Neural Belief Propagation Decoder for Short Block Length LDPC Codes","authors":"Alexander von Bank;Eike-Manuel Edelmann;Sisi Miao;Jonathan Mandelbaum;Laurent Schmalen","doi":"10.1109/LCOMM.2024.3492711","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3492711","url":null,"abstract":"Spiking neural networks (SNNs) are neural networks that enable energy-efficient signal processing due to their event-based nature. This letter proposes a novel decoding algorithm for low-density parity-check (LDPC) codes that integrates SNNs into belief propagation (BP) decoding by approximating the check node update equations using SNNs. For the (273,191) and (1023,781) finite-geometry LDPC code, the proposed decoder outperforms sum-product decoder at high signal-to-noise ratios (SNRs). The decoder achieves a similar bit error rate to normalized sum-product decoding with successive relaxation. Furthermore, the novel decoding operates without requiring knowledge of the SNR, making it robust to SNR mismatch.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"45-49"},"PeriodicalIF":3.7,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10745601","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142940940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}
Pub Date : 2024-11-04DOI: 10.1109/LCOMM.2024.3491505
Chunlin Chen
The Strauss point process is an essential and softly inhibitive model for describing random wireless networks. In this letter, we introduce the mean-field approximation for the Strauss point process achieved through minimizing the Kullback-Leibler divergence between its pseudolikelihood and a corresponding Poisson distribution. Through simulations, we also show that the distribution of empty space distance for the Strauss point process can be accurately modeled by the Weibull distribution, with its scale and shape parameters efficiently determined using regression formulas that rely on the Strauss model parameters. These findings enable us to derive analytically tractable performance metrics, such as the probability of coverage and average data rate, which are validated through Monte Carlo simulations.
{"title":"Performance Analysis of Softly Inhibitive Cellular Networks Using Poisson Mean-Field Approximation","authors":"Chunlin Chen","doi":"10.1109/LCOMM.2024.3491505","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3491505","url":null,"abstract":"The Strauss point process is an essential and softly inhibitive model for describing random wireless networks. In this letter, we introduce the mean-field approximation for the Strauss point process achieved through minimizing the Kullback-Leibler divergence between its pseudolikelihood and a corresponding Poisson distribution. Through simulations, we also show that the distribution of empty space distance for the Strauss point process can be accurately modeled by the Weibull distribution, with its scale and shape parameters efficiently determined using regression formulas that rely on the Strauss model parameters. These findings enable us to derive analytically tractable performance metrics, such as the probability of coverage and average data rate, which are validated through Monte Carlo simulations.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"31-34"},"PeriodicalIF":3.7,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142940858","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 hybrid near- and far- field cascaded channel prediction scheme is proposed for reconfigurable intelligent surface (RIS) assisted low earth orbit (LEO) satellite networks. In particular, an efficient neural network architecture, inspired by the intrinsic characteristics of wireless signals and termed the signal-informed network (SIN), is exploited to learn the precise mapping between historical uplink channels and future downlink channels. Specifically, in the proposed SIN, the time-domain autocorrelation modeling required by the channel prediction algorithm is converted into frequency-domain representation modeling, which aims to represent high-dimensional channels in terms of major frequency components. Furthermore, considering the specific non-linear phase information of hybrid-field channels, a multi-branch phase-aware module in SIN is developed to exhibit a physics-compliant channel semantic representation. Finally, a deep supervision-based encoder-decoder architecture with the auxiliary loss function is constructed as the network backbone. Simulation results demonstrate that compared to the state-of-art channel prediction models, the proposed SIN model exhibits superior channel prediction accuracy and convergence speed.
{"title":"Hybrid Near/Far-Field Channel Prediction for RIS-Aided LEO Satellite Networks","authors":"Jian Xiao;Ji Wang;Xingwang Li;Wenwu Xie;Nguyen Cong Luong;Arumugam Nallanathan","doi":"10.1109/LCOMM.2024.3489579","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3489579","url":null,"abstract":"A hybrid near- and far- field cascaded channel prediction scheme is proposed for reconfigurable intelligent surface (RIS) assisted low earth orbit (LEO) satellite networks. In particular, an efficient neural network architecture, inspired by the intrinsic characteristics of wireless signals and termed the signal-informed network (SIN), is exploited to learn the precise mapping between historical uplink channels and future downlink channels. Specifically, in the proposed SIN, the time-domain autocorrelation modeling required by the channel prediction algorithm is converted into frequency-domain representation modeling, which aims to represent high-dimensional channels in terms of major frequency components. Furthermore, considering the specific non-linear phase information of hybrid-field channels, a multi-branch phase-aware module in SIN is developed to exhibit a physics-compliant channel semantic representation. Finally, a deep supervision-based encoder-decoder architecture with the auxiliary loss function is constructed as the network backbone. Simulation results demonstrate that compared to the state-of-art channel prediction models, the proposed SIN model exhibits superior channel prediction accuracy and convergence speed.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"16-20"},"PeriodicalIF":3.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142940912","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 : 2024-11-01DOI: 10.1109/LCOMM.2024.3490386
Manish Singh;Surya Pratap Singh;Udit Satija
Next-generation wireless systems face unique challenges in identifying high-mobility emitters/vehicles (HME/V), especially in the delay-Doppler domain, where existing technologies fall short. The orthogonal time-frequency space (OTFS) technique has recently been proposed to deal with challenges in the delay-Doppler domain. Hence, for the first time, this letter introduces a novel emitter identification (EI) framework using radio-frequency (RF) fingerprints of HME/V using OTFS. A convolutional neural network (CNN) is exploited to extract the RF fingerprints from in-phase and quadrature-phase (IQ) components of the received OTFS-modulated signal to identify different emitters accurately. Further, we also analyze the impact of the same/different set of digitally modulated baseband signals such as binary phase shift keying (BPSK), on-off keying (OOK), 4-amplitude shift keying (4ASK), and 8-amplitude shift keying (8ASK) within the OTFS, employed by the emitters. Experimental results depict the efficacy of the proposed EI framework for HME/V even under low signal-to-noise ratios (SNRs).
{"title":"High-Mobility Emitter Identification Framework Using RF-Fingerprints in Orthogonal Time-Frequency Space System","authors":"Manish Singh;Surya Pratap Singh;Udit Satija","doi":"10.1109/LCOMM.2024.3490386","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3490386","url":null,"abstract":"Next-generation wireless systems face unique challenges in identifying high-mobility emitters/vehicles (HME/V), especially in the delay-Doppler domain, where existing technologies fall short. The orthogonal time-frequency space (OTFS) technique has recently been proposed to deal with challenges in the delay-Doppler domain. Hence, for the first time, this letter introduces a novel emitter identification (EI) framework using radio-frequency (RF) fingerprints of HME/V using OTFS. A convolutional neural network (CNN) is exploited to extract the RF fingerprints from in-phase and quadrature-phase (IQ) components of the received OTFS-modulated signal to identify different emitters accurately. Further, we also analyze the impact of the same/different set of digitally modulated baseband signals such as binary phase shift keying (BPSK), on-off keying (OOK), 4-amplitude shift keying (4ASK), and 8-amplitude shift keying (8ASK) within the OTFS, employed by the emitters. Experimental results depict the efficacy of the proposed EI framework for HME/V even under low signal-to-noise ratios (SNRs).","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"26-30"},"PeriodicalIF":3.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142940710","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 : 2024-11-01DOI: 10.1109/LCOMM.2024.3482852
Ishaan Agrawal;B. R. Manoj
This letter analyzes the ergodic rate of non-orthogonal multiple access (NOMA) aided integrated sensing and communication (ISAC) systems. In the presented system model, a full-duplex base station communicates with downlink and uplink communication users and simultaneously performs mono-static sensing of a target. The performance of this system is evaluated by analytically deriving the closed-form expressions of ergodic rate in the presence and absence of a target. Despite co-channel interferences and the presence of the target, NOMA achieves a significantly better rate, thus improving the system’s performance and making it a suitable technology for ISAC systems. The derived analytical results for a Rayleigh fading are verified and are in exact agreement with Monte-Carlo simulations. Further, more insights have been obtained by comparing the performance results of the considered system model with that of a traditional orthogonal multiple access scheme.
{"title":"Ergodic Rate for Downlink and Uplink NOMA Aided Integrated Sensing and Communication","authors":"Ishaan Agrawal;B. R. Manoj","doi":"10.1109/LCOMM.2024.3482852","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3482852","url":null,"abstract":"This letter analyzes the ergodic rate of non-orthogonal multiple access (NOMA) aided integrated sensing and communication (ISAC) systems. In the presented system model, a full-duplex base station communicates with downlink and uplink communication users and simultaneously performs mono-static sensing of a target. The performance of this system is evaluated by analytically deriving the closed-form expressions of ergodic rate in the presence and absence of a target. Despite co-channel interferences and the presence of the target, NOMA achieves a significantly better rate, thus improving the system’s performance and making it a suitable technology for ISAC systems. The derived analytical results for a Rayleigh fading are verified and are in exact agreement with Monte-Carlo simulations. Further, more insights have been obtained by comparing the performance results of the considered system model with that of a traditional orthogonal multiple access scheme.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 12","pages":"2774-2778"},"PeriodicalIF":3.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810493","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}
Low earth orbit (LEO) satellite networks combined with massive multiple-input multiple-output (MIMO) are expected to support ubiquitous integrated communication and localization (ICAL) with enhanced gains. Ensuring robust localization performance with prior angle uncertainty for the target is essential for ICAL systems. In this letter, we present a robust precoding framework to tackle this issue. We first derive the energy efficiency for communication and the worst-case Cramér-Rao bound (CRB) for localization. Subsequently, we develop a multi-objective framework aimed at simultaneously operating communication and localization for massive MIMO LEO satellite systems. Simulation results illustrate that the proposed scheme can attain satisfactory target angle estimation performance with prior angle uncertainty while guaranteeing the performance of communication.
{"title":"Robust Precoding for Massive MIMO LEO Satellite Integrated Communication and Localization Systems","authors":"Yongxiang Zhu;Li You;Huibin Zhou;Zhenzhou Jin;Qingfu Kong;Xiqi Gao","doi":"10.1109/LCOMM.2024.3489675","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3489675","url":null,"abstract":"Low earth orbit (LEO) satellite networks combined with massive multiple-input multiple-output (MIMO) are expected to support ubiquitous integrated communication and localization (ICAL) with enhanced gains. Ensuring robust localization performance with prior angle uncertainty for the target is essential for ICAL systems. In this letter, we present a robust precoding framework to tackle this issue. We first derive the energy efficiency for communication and the worst-case Cramér-Rao bound (CRB) for localization. Subsequently, we develop a multi-objective framework aimed at simultaneously operating communication and localization for massive MIMO LEO satellite systems. Simulation results illustrate that the proposed scheme can attain satisfactory target angle estimation performance with prior angle uncertainty while guaranteeing the performance of communication.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"21-25"},"PeriodicalIF":3.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142940934","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 : 2024-10-31DOI: 10.1109/LCOMM.2024.3489276
Muyao Wang;Runyu Lyu;Hailin Zhang
The utilisation of orbital angular momentum (OAM) in next-generation wireless communication has become a research focus in recent years. The extremely high spectral efficiency of OAM is crucial for meeting future wireless communication demands. However, OAM-based wireless communication faces a significant challenge known as the hollow divergence effect, which reduces received power and signal integrity. This letter proposes a method to focus the OAM beam using the transmitting array to eliminate the divergence. Our proposed method generates an approximate ideal OAM (A-OAM) beam within a specific tolerance range around the receiver. Compared to traditional diverging OAM (D-OAM), the A-OAM beam does not diverge within its tolerance range. Specifically, we first propose the focusing method and system model for A-OAM by investigating its propagation characteristics. Then, we evaluate the focusing method through simulations ranging from 6 to 14 metres. The results are consistent with our theoretical expectations. A-OAM enables the simultaneous reception of multiple OAM modes over long distances, significantly enhancing the robustness of OAM-based wireless communication.
{"title":"Generation of OAM Beams With Constant Beam Radius","authors":"Muyao Wang;Runyu Lyu;Hailin Zhang","doi":"10.1109/LCOMM.2024.3489276","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3489276","url":null,"abstract":"The utilisation of orbital angular momentum (OAM) in next-generation wireless communication has become a research focus in recent years. The extremely high spectral efficiency of OAM is crucial for meeting future wireless communication demands. However, OAM-based wireless communication faces a significant challenge known as the hollow divergence effect, which reduces received power and signal integrity. This letter proposes a method to focus the OAM beam using the transmitting array to eliminate the divergence. Our proposed method generates an approximate ideal OAM (A-OAM) beam within a specific tolerance range around the receiver. Compared to traditional diverging OAM (D-OAM), the A-OAM beam does not diverge within its tolerance range. Specifically, we first propose the focusing method and system model for A-OAM by investigating its propagation characteristics. Then, we evaluate the focusing method through simulations ranging from 6 to 14 metres. The results are consistent with our theoretical expectations. A-OAM enables the simultaneous reception of multiple OAM modes over long distances, significantly enhancing the robustness of OAM-based wireless communication.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 12","pages":"2899-2903"},"PeriodicalIF":3.7,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810426","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 : 2024-10-30DOI: 10.1109/LCOMM.2024.3488178
Yuan Bian;Jianbo Hu;Peng Zhang;Shuo Wang;Yingyang Wang;Jiping Cong;Chaoqi Fu
This letter presents a new approach to enhance the anti-jamming capability of unmanned aerial vehicle (UAV)-assisted wireless data collection, specifically addressing the challenge of multi-jammers attacks in the context of imperfect channel state information (CSI). The proposed approach is designed for a scenario where a single UAV is responsible for collecting data from multiple ground sensors, while encountering multi-jammers from a ground-based adversary. The objective is to maximize the average data rate of all sensors while ensuring a sufficient amount of data is collected from each sensor. The optimization problem is formulated as a mixed-integer non-convex problem, and successive convex approximation(SCA) technique is employed, which jointly optimizes the collection schedule, power control and UAV trajectory. Numerical simulations demonstrate that the proposed approach outperforms in the presence of interference and imperfect CSI.
{"title":"Joint Trajectory Control, Power Control, and Collection Schedule in UAV-Assisted Anti-Jamming Wireless Data Collection With Imperfect CSI","authors":"Yuan Bian;Jianbo Hu;Peng Zhang;Shuo Wang;Yingyang Wang;Jiping Cong;Chaoqi Fu","doi":"10.1109/LCOMM.2024.3488178","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3488178","url":null,"abstract":"This letter presents a new approach to enhance the anti-jamming capability of unmanned aerial vehicle (UAV)-assisted wireless data collection, specifically addressing the challenge of multi-jammers attacks in the context of imperfect channel state information (CSI). The proposed approach is designed for a scenario where a single UAV is responsible for collecting data from multiple ground sensors, while encountering multi-jammers from a ground-based adversary. The objective is to maximize the average data rate of all sensors while ensuring a sufficient amount of data is collected from each sensor. The optimization problem is formulated as a mixed-integer non-convex problem, and successive convex approximation(SCA) technique is employed, which jointly optimizes the collection schedule, power control and UAV trajectory. Numerical simulations demonstrate that the proposed approach outperforms in the presence of interference and imperfect CSI.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 12","pages":"2839-2843"},"PeriodicalIF":3.7,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810309","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 : 2024-10-30DOI: 10.1109/LCOMM.2024.3488123
Mengyu Ma;Chao Wang;Zuxing Li;Fuqiang Liu
This letter addresses a proactive resource allocation problem in an unmanned aerial vehicles (UAV)-assisted vehicle-to-everything (V2X) communication network. The problem, which can be formulated from the perspective of dynamic multi-objective optimization (DMO), focuses on the decisions of power control, rate selection, and channel allocation with the aim to balance the decision objectives of heterogeneous V2X links while ensuring the network’s quality of service (QoS). We propose a novel algorithm that enables quick decision-making in a dynamic environment, by predicting the future channel state information (CSI) and searching for the solution set of the problem before the environment changes. The effectiveness and advantages of the proposed method are demonstrated by simulation experiments.
{"title":"A Proactive Resource Allocation Algorithm for UAV-Assisted V2X Communication Based on Dynamic Multi-Objective Optimization","authors":"Mengyu Ma;Chao Wang;Zuxing Li;Fuqiang Liu","doi":"10.1109/LCOMM.2024.3488123","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3488123","url":null,"abstract":"This letter addresses a proactive resource allocation problem in an unmanned aerial vehicles (UAV)-assisted vehicle-to-everything (V2X) communication network. The problem, which can be formulated from the perspective of dynamic multi-objective optimization (DMO), focuses on the decisions of power control, rate selection, and channel allocation with the aim to balance the decision objectives of heterogeneous V2X links while ensuring the network’s quality of service (QoS). We propose a novel algorithm that enables quick decision-making in a dynamic environment, by predicting the future channel state information (CSI) and searching for the solution set of the problem before the environment changes. The effectiveness and advantages of the proposed method are demonstrated by simulation experiments.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 12","pages":"2814-2818"},"PeriodicalIF":3.7,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810311","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 : 2024-10-30DOI: 10.1109/LCOMM.2024.3487981
Yun Wu;Chenglong Zhang;Han Hai;Enjian Bai
Coupled phase-shift simultaneously transmitting and reflecting reconfigurable intelligent surface (CPS-STAR-RIS) is regarded as an economically efficient alternative to STAR-RIS with an independent phase-shift model. In this letter, we investigate a simultaneous wireless information and power transfer (SWIPT) system with non-orthogonal multiple access (NOMA) assisted by CPS-STAR-RIS. To maximize the average sum-rate (ASR) of the system, we propose an alternating optimization (AO) scheme to jointly optimize the active beamforming vectors at the base station (BS) and the transmission and reflection coefficients at the CPS-STAR-RIS. Specifically, we first equivalently represent the ASR maximization problem by applying the weighted minimum mean square error (WMMSE) algorithm to address the coupling of variables. Subsequently, the successive convex approximation (SCA) algorithm and the penalty dual decomposition (PDD) algorithm are adopted to tackle the optimization challenges of the active beamforming vectors at the BS and the coefficients at the CPS-STAR-RIS, respectively. Simulations show that compared with the conventional RIS (CRIS) and the OMA schemes, the proposed scheme significantly enhances the ASR.
{"title":"Average Sum-Rate Maximization of Coupled Phase-Shift STAR-RIS-Assisted SWIPT-NOMA System","authors":"Yun Wu;Chenglong Zhang;Han Hai;Enjian Bai","doi":"10.1109/LCOMM.2024.3487981","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3487981","url":null,"abstract":"Coupled phase-shift simultaneously transmitting and reflecting reconfigurable intelligent surface (CPS-STAR-RIS) is regarded as an economically efficient alternative to STAR-RIS with an independent phase-shift model. In this letter, we investigate a simultaneous wireless information and power transfer (SWIPT) system with non-orthogonal multiple access (NOMA) assisted by CPS-STAR-RIS. To maximize the average sum-rate (ASR) of the system, we propose an alternating optimization (AO) scheme to jointly optimize the active beamforming vectors at the base station (BS) and the transmission and reflection coefficients at the CPS-STAR-RIS. Specifically, we first equivalently represent the ASR maximization problem by applying the weighted minimum mean square error (WMMSE) algorithm to address the coupling of variables. Subsequently, the successive convex approximation (SCA) algorithm and the penalty dual decomposition (PDD) algorithm are adopted to tackle the optimization challenges of the active beamforming vectors at the BS and the coefficients at the CPS-STAR-RIS, respectively. Simulations show that compared with the conventional RIS (CRIS) and the OMA schemes, the proposed scheme significantly enhances the ASR.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 12","pages":"2889-2893"},"PeriodicalIF":3.7,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810318","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：