2022 International Symposium on Wireless Communication Systems (ISWCS)最新文献_第2页

STAR-RISs Assisted NOMA Networks: A Tile-based Passive Beamforming Approach STAR-RISs辅助NOMA网络:一种基于tile的被动波束形成方法

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940329

Ruikang Zhong, Xidong Mu, Xiaoxia Xu, Yue Chen, Yuanwei Liu

{"title":"STAR-RISs Assisted NOMA Networks: A Tile-based Passive Beamforming Approach","authors":"Ruikang Zhong, Xidong Mu, Xiaoxia Xu, Yue Chen, Yuanwei Liu","doi":"10.1109/ISWCS56560.2022.9940329","DOIUrl":"https://doi.org/10.1109/ISWCS56560.2022.9940329","url":null,"abstract":"A novel simultaneous transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) aided downlink non-orthogonal multiple access (NOMA) communication frame-work is proposed. Two STAR-RIS protocols are investigated, namely the energy splitting (ES) and the mode switching (MS). However, since the STAR-RIS has a massive number of reconfigurable elements, the passive beamforming problem has enormous action dimensions and extremely high complexity, resulting in an increased training time and performance degradation for the artificial intelligent agent. To resolve this predicament, a partitioning approach is proposed to divide the STAR-RIS into several tiles. A deep reinforcement learning (DRL) approach is conceived for the partitioning and the corresponding tile-based passive beamforming of the STAR-RIS, as well as the power allocation for users to maximize the average throughput. Simulation results indicate that the tile-based passive beamforming approach outperforms benchmarks while the STAR-RIS has a large size, and the ES protocol is preferred for being employed in the NOMA networks compared with the MS protocol.","PeriodicalId":141258,"journal":{"name":"2022 International Symposium on Wireless Communication Systems (ISWCS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124014246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Throughput Maximization in Latency-Critical Downlink Communication with Hybrid BC-TDMA Strategy 基于BC-TDMA混合策略的延迟关键下行通信吞吐量最大化

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940358

Xiaopeng Yuan, Weiqing Yao, Xian Luo, Zhiwei Bao, A. Schmeink

{"title":"Throughput Maximization in Latency-Critical Downlink Communication with Hybrid BC-TDMA Strategy","authors":"Xiaopeng Yuan, Weiqing Yao, Xian Luo, Zhiwei Bao, A. Schmeink","doi":"10.1109/ISWCS56560.2022.9940358","DOIUrl":"https://doi.org/10.1109/ISWCS56560.2022.9940358","url":null,"abstract":"In this paper, we focus on a downlink communication network providing latency-critical services to multiple sensor nodes (SNs). In order to promote the service capability, we adopt a hybrid broadcasting time-division multiple access (BCTDMA) strategy, in which different groups of SNs are assigned to independent time slots and in each time slot the grouped SNs are served in a data broadcasting manner. Taking the reliability constraints into account, we formulate an optimization problem maximizing the minimum achievable throughput among multiple SNs and aim at a joint SN grouping and blocklength allocation design based on the hybrid BC-TDMA strategy. To address the mix-integer nonconvex problem, we first characterize the optimal blocklength allocation for any given user grouping into a closed-form solution, based on which an iterative approach is proposed for efficiently extracting out the optimal grouping, such that the optimal joint solution can be analytically constructed. Finally, the proposed algorithm is validated via numerical results. The performance advantages of the hybrid strategy in throughput improvement are also highlighted, in comparison with benchmarks.","PeriodicalId":141258,"journal":{"name":"2022 International Symposium on Wireless Communication Systems (ISWCS)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131474226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Countering jamming attacks against beam alignment protocol for millimeter wave networks 对抗毫米波网络波束对准协议的干扰攻击

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940364

D. Darsena, F. Verde

引用次数: 0

Extrinsic Graph Neural Network - Aided Expectation Propagation for Turbo-MIMO Receiver Turbo-MIMO接收机的外部图神经网络辅助期望传播

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940373

Xingyu Zhou, Jing Zhang, Chao-Kai Wen, Shimei Jin

引用次数: 2

Deep Learning based Channel Prediction for OFDM Systems under Double-Selective Fading Channels 基于深度学习的OFDM系统双选择衰落信道预测

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940427

Yuhang Shao, Ming-Min Zhao, Liyan Li, Min-Jian Zhao

{"title":"Deep Learning based Channel Prediction for OFDM Systems under Double-Selective Fading Channels","authors":"Yuhang Shao, Ming-Min Zhao, Liyan Li, Min-Jian Zhao","doi":"10.1109/ISWCS56560.2022.9940427","DOIUrl":"https://doi.org/10.1109/ISWCS56560.2022.9940427","url":null,"abstract":"With the development of wireless communication and internet of vehicles (IoV), a growing number of wireless high-speed scenarios have emerged. High mobility will introduce large Doppler shift to the channel, resulting in fast time-selectivity, and multi-path transmission will lead to frequency-selectivity. In such a double-selective fading channel, in order to accurately recover the transmitted symbols, lots of pilot symbols are required for channel estimation, resulting in bandwidth wastage. In this paper, we design a novel deep learning (DL) based channel prediction network that combines the benefits of fully-connected deep neural network (FC-DNN), convolutional neural network (CNN) and long short-term memory (LSTM) to reduce the demand of pilot symbols in orthogonal frequency-division multiplexing (OFDM) systems. In particular, the three networks are deployed to perform noise reduction, interpolation and prediction, respectively. In addition, we propose a data aided decision feedback scheme in prediction to guarantee the prediction performance. Simulation results demonstrate that the proposed prediction network can achieve better performance than existing methods.","PeriodicalId":141258,"journal":{"name":"2022 International Symposium on Wireless Communication Systems (ISWCS)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114738387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

CSIT-Free Model Aggregation for Multi-RIS-Assisted Over-the-Air Computation 多ris辅助空中计算的无csit模型聚合

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940351

Fusheng Zhu, Yaqiong Zhao, Weihong Xu, X. You

引用次数: 2

Reliability-Oriented Power Allocation for Multi-Source WPT Enabled Short Packet Communications 基于可靠性的多源WPT短包通信功率分配

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940388

N. Guo, Xiaopeng Yuan, Chongfa Wang, Yulin Hu, A. Schmeink

{"title":"Reliability-Oriented Power Allocation for Multi-Source WPT Enabled Short Packet Communications","authors":"N. Guo, Xiaopeng Yuan, Chongfa Wang, Yulin Hu, A. Schmeink","doi":"10.1109/ISWCS56560.2022.9940388","DOIUrl":"https://doi.org/10.1109/ISWCS56560.2022.9940388","url":null,"abstract":"In this work, we study a multi-source enabled wireless power transfer (WPT) network. Activated by the en-ergy harvesting (EH), short packet transmissions from multiple sensors are operated via finite blocklength (FBL) codes. For such a multi-source WPT network, for the first time we characterize the overall FBL reliability and correspondingly provide a reliability-oriented design, while a practical nonlinear EH model is con-sidered. In particular, we investigate the relationship between the overall FBL reliability and the assigned power levels at multiple WPT sources. In addition, a power allocation problem is formulated aiming at minimizing the overall error probability under a total power constraint at the WPT sources. To solve the non-convex problem and specifically to tackle the difficulty introduced by the nonlinear EH model, we apply successive convex approximation (SCA) method, and conduct a set of convex approximations to the problem, with which an efficient solution is achieved via an iterative algorithm. Finally, by the means of simulations we validate our analytical model and evaluate the system performance.","PeriodicalId":141258,"journal":{"name":"2022 International Symposium on Wireless Communication Systems (ISWCS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124879283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of Switching Probability for Hybrid FSO/RF Channels Under High-altitude Platform 高空平台下FSO/RF混合信道切换概率分析

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940425

Xuantao Lyu, Peicong Zheng, Ning Ge

引用次数: 0

Joint Power Allocation and Phase-Shift Design for RIS-Aided Cooperative Near-Field Localization ris辅助协同近场定位的联合功率分配与相移设计

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940381

Feng-Chuan Zhang, Ming-Min Zhao, M. Lei, Min-Jian Zhao

{"title":"Joint Power Allocation and Phase-Shift Design for RIS-Aided Cooperative Near-Field Localization","authors":"Feng-Chuan Zhang, Ming-Min Zhao, M. Lei, Min-Jian Zhao","doi":"10.1109/ISWCS56560.2022.9940381","DOIUrl":"https://doi.org/10.1109/ISWCS56560.2022.9940381","url":null,"abstract":"In the sixth-generation (6G) wireless network with a large number of devices, it is very important to achieve accurate and reliable positioning with limited power resource. This paper studies a multi-user localization system based on a reconfigurable intelligent surface (RIS) where the users derive position information through signals not only from the reflected links via the RIS but also from the cooperative links among users. Considering all users in the near field of the RIS, we first build the system model based on the uniform liner array (ULA) response of the RIS. Then, we derive the Cramér-Rao lower bound (CRLB) of global users' positions as the performance metric. Assuming that the system has limited power resource, we construct a joint power allocation and phase-shift design problem with the goal of minimizing the CRLB. Since the problem is non-convex, we propose an iterative searching (IS) algorithm which is realized by optimizing the power allocation among all nodes and phase shifts of the RIS alternatively. Finally, numerical results are presented to show that the importance of cooperation increases and cooperative users should be assigned with more power if the number of reflecting elements at the RIS is not very large and/or the channel conditions of the reflected links are not so good.","PeriodicalId":141258,"journal":{"name":"2022 International Symposium on Wireless Communication Systems (ISWCS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116530762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Cloud-Edge Inference under Communication Constraints: Data Quantization and Early Exit 通信约束下的云边缘推断:数据量化与早期退出

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940360

Yushu Gao, Wen Wang, Dezhi Wang, Huiqiong Wang, Zhaoyang Zhang

{"title":"Cloud-Edge Inference under Communication Constraints: Data Quantization and Early Exit","authors":"Yushu Gao, Wen Wang, Dezhi Wang, Huiqiong Wang, Zhaoyang Zhang","doi":"10.1109/ISWCS56560.2022.9940360","DOIUrl":"https://doi.org/10.1109/ISWCS56560.2022.9940360","url":null,"abstract":"The inference delay of deep neural networks (DNN) cannot always fulfill the application requirements due to the data transmission to the cloud, which can be effectively alleviated by cloud-edge collaboration via DNN partitioning. However, the communication capability between cloud and edge is usually limited. In this paper, we propose a threshold-based data quantization and exit (TDQE) framework, where the classification thresholds divide the data to different parts and determine to either quantize the data for transmitting under the communication constraints or early exit the DNN at the partition point. To solve the optimal solutions of the thresholds, we model an accuracy optimization problem under communication constraints, and solve it through the linear programming. In order to reduce the impact of quantization on accuracy due to difference parts of data, we further adjust the quantization ranges for each part of data to refine the quantization performance. Based on the optimization results, TDQE algorithm is proposed to construct the DNN partitioning with classified data processing. Finally, to evaluate the proposed method, we compare it with two traditional DNN partitioning algorithms via the simulation results. The results show that the proposed algorithm outperforms the other two baselines with respect to the accuracy and meets the real-time requirements.","PeriodicalId":141258,"journal":{"name":"2022 International Symposium on Wireless Communication Systems (ISWCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132381765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1