2022 International Symposium on Wireless Communication Systems (ISWCS)最新文献_第7页

A Sky-Ground NOMA Receiver for Cellular-Connected UAVs 一种用于蜂窝连接无人机的空地NOMA接收器

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940433

D. Darsena, I. Iudice, F. Verde

引用次数: 0

Traffic Scheduling for 5G-TSN Integrated Systems 5G-TSN集成系统的流量调度

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940254

Jingwei Yang, Guanding Yu

{"title":"Traffic Scheduling for 5G-TSN Integrated Systems","authors":"Jingwei Yang, Guanding Yu","doi":"10.1109/ISWCS56560.2022.9940254","DOIUrl":"https://doi.org/10.1109/ISWCS56560.2022.9940254","url":null,"abstract":"The fourth industrial revolution will significantly improve the level of informatization and intelligence of the industry by building a smart factory. As an essential part of the smart factory, industrial communication systems face rigorous challenges. On the one hand, many smart factory applications demand data delivery with ultra-high reliability within a very low end-to-end latency. On the other hand, new services place high demands on the flexibility and scalability of the communication system. Industry-standard organizations have embarked on research and proposed several potential solutions. The time-sensitive networking (TSN) task group has developed a series of ethernet-based standards to address issues such as time synchronization and traffic scheduling in industrial networks. Additionally, ultra-reliable and low-latency communications (URLLC) are supported by the 5th generation (5G) mobile communications technology. The combination of 5G and TSN technologies as a solution for industrial communication networks has received much attention, and many related studies have been conducted. In this paper, we investigate how to achieve low-latency communication in a 5G-TSN integrated network by considering non-real-time communication services with high throughput requirements. Simulation results demonstrate that the proposed approach performs well in terms of reducing end-to-end latency and improving system throughput.","PeriodicalId":141258,"journal":{"name":"2022 International Symposium on Wireless Communication Systems (ISWCS)","volume":"58 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":"124430213","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: 3

Achieving the Optimal Transceiver Beamforming for Multi-User and Multi-Target DFRC System 实现多用户多目标DFRC系统的最佳收发波束形成

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940370

Yao Liu, Jizhe Zhou, Ying Du, Kaifeng Han, Jiamo Jiang, Weidong Wang, Li Chen

{"title":"Achieving the Optimal Transceiver Beamforming for Multi-User and Multi-Target DFRC System","authors":"Yao Liu, Jizhe Zhou, Ying Du, Kaifeng Han, Jiamo Jiang, Weidong Wang, Li Chen","doi":"10.1109/ISWCS56560.2022.9940370","DOIUrl":"https://doi.org/10.1109/ISWCS56560.2022.9940370","url":null,"abstract":"As an effective way to realize the integrated sensing and communication for 6G, the dual-functional radar-communication (DFRC) has been studied to implement dual-functional system that simultaneously perform wireless communication and radar sensing. One of the fundamental design issues in DFRC focuses on waveform design, including the selection of basic waveform (e.g., Orthogonal Time Frequency Space (OTFS) or Orthogonal Frequency Division Multiplexing (OFDM)), and the optimal beamforming design. In this paper, we investigate the transceiver beamforming design for a multi-input-multi-output (MIMO) DFRC system, where the dual functional base station (BS) simultaneously detects the multiple targets while communicating with multiple communication users. To this end, we first characterize the multi-fold tradeoffs between communication and radar sensing by defining an achievable performance region of the proposed DFRC system. The performance of communication and radar sensing are characterized by their signal-to-interference-plus-noise ratios (SINRs), and then the multi-objective optimization problem is formulated to maximize the SINRs of all communication users and radar sensing echoes (from targets) via optimizing beamforming matrix. To solve the problem, we propose a poly-complexity solution by using the quadratic transform and successive convex approximation. Simulation results are provided to verify the proposed design.","PeriodicalId":141258,"journal":{"name":"2022 International Symposium on Wireless Communication Systems (ISWCS)","volume":"12 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":"125915934","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

Performance Evaluation of Spatial Scattering Modulation in the Indoor Environment 室内环境下空间散射调制性能评价

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940429

Jiliang Zhang, Wei Liu, A. Tennant, Weijie Qi, Jiming Chen, J. Zhang

引用次数: 0

An AFDM-Based Integrated Sensing and Communications 基于afdm的集成传感与通信

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-08-29 DOI: 10.1109/ISWCS56560.2022.9940346

Yuanhan Ni, Zulin Wang, Peng Yuan, Qin Huang

引用次数: 6

Error Propagation and Overhead Reduced Channel Estimation for RIS-Aided Multi-User mmWave Systems: Invited Paper ris辅助多用户毫米波系统的误差传播和开销减少信道估计:特邀论文

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-08-23 DOI: 10.1109/ISWCS56560.2022.9940350

Zhendong Peng, Cunhua Pan, Gui Zhou, Hong Ren

{"title":"Error Propagation and Overhead Reduced Channel Estimation for RIS-Aided Multi-User mmWave Systems: Invited Paper","authors":"Zhendong Peng, Cunhua Pan, Gui Zhou, Hong Ren","doi":"10.1109/ISWCS56560.2022.9940350","DOIUrl":"https://doi.org/10.1109/ISWCS56560.2022.9940350","url":null,"abstract":"In this paper, we propose a novel two-stage based uplink channel estimation strategy with reduced pilot overhead and error propagation for a reconfigurable intelligent surface (RIS)-aided multi-user (MU) millimeter wave (mmWave) system. Specifically, in Stage I, with the carefully designed RIS phase shift matrix and introduced matching matrices, all users jointly transmit the pilot signals for the estimation of the correlation factors between different paths of the common RIS-base station (BS) channel, which achieves significant multi-user diversity gain. Then, the inherent scaling ambiguity and angle ambiguity of the mmWave cascaded channel are utilized to construct an ambiguous common RIS-BS channel composed of the estimated correlation factors. In Stage II, with the constructed ambiguous common RIS-BS channel, each user independently sends reduced pilots for estimating their specific user-RIS channel so as to obtain the entire cascaded channel. The theoretical number of pilots required for the proposed method is analyzed and the simulation results are presented to validate the effectiveness of this strategy.","PeriodicalId":141258,"journal":{"name":"2022 International Symposium on Wireless Communication Systems (ISWCS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128018877","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

Reconfigurable Intelligent Surfaces Empowered Cooperative Rate Splitting with User Relaying 可重构智能表面授权与用户中继合作速率分裂

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-08-08 DOI: 10.1109/ISWCS56560.2022.9940359

Kangchun Zhao, Yijie Mao, Zhaohui Yang, Lixiang Lian, B. Clerckx

引用次数: 4

Intelligent Reflecting Surface-Aided Maneuvering Target Sensing: True Velocity Estimation 智能反射表面辅助机动目标传感:真速度估计

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-07-30 DOI: 10.1109/ISWCS56560.2022.9940361

Lei Xie, Xianghao Yu, Shenghui Song

引用次数: 2

Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data 利用测量数据评估基于高斯混合模型的信道估计器

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-07-28 DOI: 10.1109/ISWCS56560.2022.9940363

N. Turan, B. Fesl, Moritz Grundei, M. Koller, W. Utschick

{"title":"Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data","authors":"N. Turan, B. Fesl, Moritz Grundei, M. Koller, W. Utschick","doi":"10.1109/ISWCS56560.2022.9940363","DOIUrl":"https://doi.org/10.1109/ISWCS56560.2022.9940363","url":null,"abstract":"In this work, we use real-world data in order to evaluate and validate a machine learning (ML)-based algorithm for physical layer functionalities. Specifically, we apply a recently introduced Gaussian mixture model (GMM)-based algorithm in order to estimate uplink channels stemming from a measurement campaign. For this estimator, there is an initial (offline) training phase, where a GMM is fitted onto given channel (training) data. Thereafter, the fitted GMM is used for (online) channel estimation. Our experiments suggest that the GMM estimator learns the intrinsic characteristics of a given base station's whole radio propagation environment. Essentially, this ambient information is captured due to universal approximation properties of the initially fitted GMM. For a large enough number of GMM components, the GMM estimator was shown to approximate the (unknown) mean squared error (MSE)-optimal channel estimator arbitrarily well. In our experiments, the GMM estimator shows significant performance gains compared to approaches that are not able to capture the ambient information. To validate the claim that ambient information is learnt, we generate synthetic channel data using a state-of-the-art channel simulator and train the GMM estimator once on these and once on the real data, and we apply the estimator once to the synthetic and once to the real data. We then observe how providing suitable ambient information in the training phase beneficially impacts the later channel estimation performance.","PeriodicalId":141258,"journal":{"name":"2022 International Symposium on Wireless Communication Systems (ISWCS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114550159","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: 6

Wireless Transmission of Images with the Assistance of Multi-level Semantic Information 基于多层次语义信息的图像无线传输

2022 International Symposium on Wireless Communication Systems (ISWCS) Pub Date : 2022-02-08 DOI: 10.1109/ISWCS56560.2022.9940401

Zhenguo Zhang, Qianqian Yang, Shibo He, Mingyang Sun, Jiming Chen

{"title":"Wireless Transmission of Images with the Assistance of Multi-level Semantic Information","authors":"Zhenguo Zhang, Qianqian Yang, Shibo He, Mingyang Sun, Jiming Chen","doi":"10.1109/ISWCS56560.2022.9940401","DOIUrl":"https://doi.org/10.1109/ISWCS56560.2022.9940401","url":null,"abstract":"Semantic-oriented communication has been considered a promising method to boost bandwidth efficiency by only transmitting the semantics of the data. In this paper, we propose a multi-level semantic aware communication system for wireless image transmission, named MLSC-image, which is based on deep learning (DL) techniques and trained in an end-to-end manner. In particular, the proposed model includes a multilevel semantic feature extractor, that extracts both the high-level semantic information, such as the text semantics and the segmentation semantics, and the low-level semantic information, such as local spatial details of the images. We employ a pret-rained image caption to capture the text semantics and a pre-trained image segmentation model to obtain the segmentation semantics. These high-level and low-level semantic features are then combined and encoded by a joint semantic and channel encoder into symbols to transmit over the physical channel. The numerical results validate the effectiveness and efficiency of the proposed semantic communication system, especially under the limited bandwidth condition, which indicates the advantages of the high-level semantics in the compression of images.","PeriodicalId":141258,"journal":{"name":"2022 International Symposium on Wireless Communication Systems (ISWCS)","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115992248","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: 15