Pub Date : 2024-10-02DOI: 10.1109/LCOMM.2024.3472067
Kobuljon Ismanov Abdurakhmonovich;Doyun Lee;Seung-Eun Hong;Jaewook Lee;Hoon Lee
This letter presents deep learning approaches for addressing resource allocation problems in wireless-powered communication networks. Conventional deep neural network (DNN) methods require the global channel state information (CSI), invoking impractical centralized operations. Also, their computations depend on the user population, which lacks the scalability of the network size. To this end, we propose decentralized and scalable DNN architectures. We interpret the ideal centralized DNN as a nomographic function that can be decomposed into multiple component DNNs. Each of these is dedicated to processing the local CSI of individual users, thereby leading to the decentralized architecture. To reduce coordination overheads among the H-AP and users, individual users leverage a DNN that compresses local CSI into low-dimensional messages shared with the H-AP. Since these DNN modules are designed to share identical trainable parameters, the proposed learning architecture can be universally applied to various configurations with arbitrary user populations. Numerical results show that the proposed decentralized method achieves almost identical performance to centralized schemes with reduced complexity.
{"title":"Learning Decentralized and Scalable Resource Management for Wireless Powered Communication Networks","authors":"Kobuljon Ismanov Abdurakhmonovich;Doyun Lee;Seung-Eun Hong;Jaewook Lee;Hoon Lee","doi":"10.1109/LCOMM.2024.3472067","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3472067","url":null,"abstract":"This letter presents deep learning approaches for addressing resource allocation problems in wireless-powered communication networks. Conventional deep neural network (DNN) methods require the global channel state information (CSI), invoking impractical centralized operations. Also, their computations depend on the user population, which lacks the scalability of the network size. To this end, we propose decentralized and scalable DNN architectures. We interpret the ideal centralized DNN as a nomographic function that can be decomposed into multiple component DNNs. Each of these is dedicated to processing the local CSI of individual users, thereby leading to the decentralized architecture. To reduce coordination overheads among the H-AP and users, individual users leverage a DNN that compresses local CSI into low-dimensional messages shared with the H-AP. Since these DNN modules are designed to share identical trainable parameters, the proposed learning architecture can be universally applied to various configurations with arbitrary user populations. Numerical results show that the proposed decentralized method achieves almost identical performance to centralized schemes with reduced complexity.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 11","pages":"2563-2567"},"PeriodicalIF":3.7,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142636578","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 : 2024-10-02DOI: 10.1109/LCOMM.2024.3472497
Soumita Naskar;Mostafizur Rahaman Laskar;Amit K. Dutta
The proposal outlines the design of a radar and relay-assisted communication system with multiple input multiple output (MIMO) configuration, utilizing quantum algorithm in coexistence scenario. We name it MIMO QRadRCom framework. Quantum computation offers significant speed-ups and holds promise for future technologies like sixth generation (6G) cellular networks. By integrating quantum simulation, we aim to design parameters, like an equalizer at the communication receiver and others, and then classically optimize the rest of the design parameters. The equalizer comes from the linear minimum mean square error (LMMSE) criterion, which involves matrix inversion and is classically expensive. The mathematical formulations address classical and quantum inaccuracies, supported by numerical simulations on the IBM quantum machine.
该提案概述了多输入多输出（MIMO）配置的雷达和中继辅助通信系统的设计，在共存场景中利用了量子算法。我们将其命名为 MIMO QRadRCom 框架。量子计算可大大加快速度，并为第六代（6G）蜂窝网络等未来技术带来希望。通过整合量子模拟，我们旨在设计参数，如通信接收器的均衡器等，然后对其余设计参数进行经典优化。均衡器来自线性最小均方误差（LMMSE）准则，该准则涉及矩阵反转，在经典上非常昂贵。数学公式解决了经典和量子误差问题，并在 IBM 量子机上进行了数值模拟。
{"title":"MIMO QRadRCom: A New Topology for Quantum-Assisted Radar and Relay-Based MIMO System","authors":"Soumita Naskar;Mostafizur Rahaman Laskar;Amit K. Dutta","doi":"10.1109/LCOMM.2024.3472497","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3472497","url":null,"abstract":"The proposal outlines the design of a radar and relay-assisted communication system with multiple input multiple output (MIMO) configuration, utilizing quantum algorithm in coexistence scenario. We name it MIMO QRadRCom framework. Quantum computation offers significant speed-ups and holds promise for future technologies like sixth generation (6G) cellular networks. By integrating quantum simulation, we aim to design parameters, like an equalizer at the communication receiver and others, and then classically optimize the rest of the design parameters. The equalizer comes from the linear minimum mean square error (LMMSE) criterion, which involves matrix inversion and is classically expensive. The mathematical formulations address classical and quantum inaccuracies, supported by numerical simulations on the IBM quantum machine.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 11","pages":"2663-2667"},"PeriodicalIF":3.7,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600258","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 : 2024-09-30DOI: 10.1109/LCOMM.2024.3470904
Minghao Jin;Jin Meng;Weimin Wu;Yingzhuang Liu
With the introduction of multi-link operation, the IEEE 802.11be standard, known as Wi-Fi 7, makes it possible for Wi-Fi devices to simultaneously access multiple channels. However, current studies on multi-link devices (MLDs) concentrated on conventional Distributed Coordination Function (DCF) networks, which experience severe performance degradation in dense user access scenarios. To address this issue, we propose a novel channel access mechanism termed Multi-link Corresponding Resource Unit Binding (MCRUB), which captures the joint impact of multi-link and uplink OFDMA random access (UORA) to enhance network throughput. Moreover, we develop an analytical model for this mechanism and derive the condition for approximate optimal network throughput to optimize control parameters. Simulation results demonstrate that our model accurately predicts the steady-state behavior of the MCRUB mechanism.
{"title":"Enhancing the Performance of Wi-Fi 7 Network via Investigation of Multi-Link and UORA","authors":"Minghao Jin;Jin Meng;Weimin Wu;Yingzhuang Liu","doi":"10.1109/LCOMM.2024.3470904","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3470904","url":null,"abstract":"With the introduction of multi-link operation, the IEEE 802.11be standard, known as Wi-Fi 7, makes it possible for Wi-Fi devices to simultaneously access multiple channels. However, current studies on multi-link devices (MLDs) concentrated on conventional Distributed Coordination Function (DCF) networks, which experience severe performance degradation in dense user access scenarios. To address this issue, we propose a novel channel access mechanism termed Multi-link Corresponding Resource Unit Binding (MCRUB), which captures the joint impact of multi-link and uplink OFDMA random access (UORA) to enhance network throughput. Moreover, we develop an analytical model for this mechanism and derive the condition for approximate optimal network throughput to optimize control parameters. Simulation results demonstrate that our model accurately predicts the steady-state behavior of the MCRUB mechanism.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 11","pages":"2688-2692"},"PeriodicalIF":3.7,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600300","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}
As communication technologies advance, millimeter wave (mmWave) signals have been widely used, leading to the rise of massive multiple input multiple output (MIMO) systems. However, the huge resource consumption cost by all-digital beamforming limits its application in MIMO. Thus, the hybrid beamforming technology raise much attention since its efficiency and low cost. This letter proposes an interference suppression method for mmWave MIMO systems based on hybrid beamforming. Unlike existing approaches only considering the improvement of the receiving signal-to-interference-plus-noise ratio (SINR) and without considering the hardware limitation, this study presents a practical anti-interference algorithm by integrating analog and digital beamforming techniques. To ensure that the digital signal remains within the dynamic range of analog-to-digital converter (ADC), this method employs phase shifters of limited precision to reduce analog interference first, and then maximize the anti-interference potential of digital beamforming. Utilizing the minimum variance distortionless response (MVDR) criterion, this study introduces a new covariance matrix reconstruction algorithm at the analog stage, and the sampling matrix inversion algorithm at the digital stage. Simulation results demonstrate the effectiveness of proposed algorithm in anti-interference. This approach improves the practical applicability of hybrid beamforming in practical scenarios.
随着通信技术的发展，毫米波（mmWave）信号得到了广泛应用，从而导致了大规模多输入多输出（MIMO）系统的兴起。然而，全数字波束成形技术的巨大资源消耗成本限制了它在多输入多输出系统中的应用。因此，混合波束成形技术因其高效、低成本而备受关注。本文提出了一种基于混合波束成形的毫米波 MIMO 系统干扰抑制方法。与现有的只考虑改善接收信号干扰加噪声比（SINR）和不考虑硬件限制的方法不同，本研究通过整合模拟和数字波束成形技术，提出了一种实用的抗干扰算法。为确保数字信号保持在模数转换器（ADC）的动态范围内，该方法采用了精度有限的移相器，首先降低模拟干扰，然后最大限度地发挥数字波束成形的抗干扰潜力。利用最小方差无失真响应（MVDR）准则，本研究在模拟阶段引入了一种新的协方差矩阵重构算法，在数字阶段引入了采样矩阵反演算法。仿真结果证明了所提算法在抗干扰方面的有效性。这种方法提高了混合波束成形在实际应用场景中的实用性。
{"title":"A Pragmatic Anti-Interference Algorithm for Hybrid Beamforming in Millimeter Wave MIMO Systems","authors":"Zhi Wang;Peng Chen;Zongxin Wang;Tao Luo;Yipei Zhang","doi":"10.1109/LCOMM.2024.3470226","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3470226","url":null,"abstract":"As communication technologies advance, millimeter wave (mmWave) signals have been widely used, leading to the rise of massive multiple input multiple output (MIMO) systems. However, the huge resource consumption cost by all-digital beamforming limits its application in MIMO. Thus, the hybrid beamforming technology raise much attention since its efficiency and low cost. This letter proposes an interference suppression method for mmWave MIMO systems based on hybrid beamforming. Unlike existing approaches only considering the improvement of the receiving signal-to-interference-plus-noise ratio (SINR) and without considering the hardware limitation, this study presents a practical anti-interference algorithm by integrating analog and digital beamforming techniques. To ensure that the digital signal remains within the dynamic range of analog-to-digital converter (ADC), this method employs phase shifters of limited precision to reduce analog interference first, and then maximize the anti-interference potential of digital beamforming. Utilizing the minimum variance distortionless response (MVDR) criterion, this study introduces a new covariance matrix reconstruction algorithm at the analog stage, and the sampling matrix inversion algorithm at the digital stage. Simulation results demonstrate the effectiveness of proposed algorithm in anti-interference. This approach improves the practical applicability of hybrid beamforming in practical scenarios.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 11","pages":"2613-2617"},"PeriodicalIF":3.7,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600288","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 : 2024-09-27DOI: 10.1109/LCOMM.2024.3469243
Zhenjie Deng;Dehuan Wan;Chunhui Wu;Chen Bian;Dacai Liu
Crowdsourcing among vehicles, pedestrians, and Base Stations (BSs) in hybrid V2X networks offers a promising approach to enhance subscriber experience by increasing throughput, ensuring driving safety, and supporting autonomous driving. In this letter, we focus on a cooperative hybrid V2X network where vehicles can transmit data directly from base stations through cellular networks or use other vehicles as relays. After recruiting the relay clients to provide cooperative transmission service, the primary client determines how to allocate its traffic among them. Both primary and relay clients aim to maximize their respective reward. This model is formulated as a Stackelberg game. The existence and uniqueness of the Nash Equilibrium (NE) point is achieved under constraints. Simulation results demonstrate that cooperation among vehicles and pedestrians improves the performance of primary clients and encourages relay client participation.
{"title":"Stackelberg Game-Based Crowdsourcing for Hybrid V2X Communications","authors":"Zhenjie Deng;Dehuan Wan;Chunhui Wu;Chen Bian;Dacai Liu","doi":"10.1109/LCOMM.2024.3469243","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3469243","url":null,"abstract":"Crowdsourcing among vehicles, pedestrians, and Base Stations (BSs) in hybrid V2X networks offers a promising approach to enhance subscriber experience by increasing throughput, ensuring driving safety, and supporting autonomous driving. In this letter, we focus on a cooperative hybrid V2X network where vehicles can transmit data directly from base stations through cellular networks or use other vehicles as relays. After recruiting the relay clients to provide cooperative transmission service, the primary client determines how to allocate its traffic among them. Both primary and relay clients aim to maximize their respective reward. This model is formulated as a Stackelberg game. The existence and uniqueness of the Nash Equilibrium (NE) point is achieved under constraints. Simulation results demonstrate that cooperation among vehicles and pedestrians improves the performance of primary clients and encourages relay client participation.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 11","pages":"2593-2597"},"PeriodicalIF":3.7,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600343","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 : 2024-09-26DOI: 10.1109/LCOMM.2024.3469130
Mayuka Chiba;Tadashi Nakano
In molecular communication, information can be encoded on the concentration gradient of signal molecules, making gradient detection an important issue. This letter considers a biologically inspired method for a cluster of bio-nanomachines to perform collective gradient detection. It develops a mathematical model of the collective gradient detection method, and uses the model to analyze its performance. One of the major findings reported in this letter is the existence of an optimal cluster size that can maximize the gradient detection performance. The contributions of this letter include exploring a new research direction in molecular communication, where a cluster of bio-nanomachines is used as a unit of molecular communication systems.
{"title":"Performance Analysis of a Biologically Inspired Collective Gradient Detection Method for a Bio-Nanomachine Cluster","authors":"Mayuka Chiba;Tadashi Nakano","doi":"10.1109/LCOMM.2024.3469130","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3469130","url":null,"abstract":"In molecular communication, information can be encoded on the concentration gradient of signal molecules, making gradient detection an important issue. This letter considers a biologically inspired method for a cluster of bio-nanomachines to perform collective gradient detection. It develops a mathematical model of the collective gradient detection method, and uses the model to analyze its performance. One of the major findings reported in this letter is the existence of an optimal cluster size that can maximize the gradient detection performance. The contributions of this letter include exploring a new research direction in molecular communication, where a cluster of bio-nanomachines is used as a unit of molecular communication systems.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 11","pages":"2528-2532"},"PeriodicalIF":3.7,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142636576","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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