2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)最新文献_第7页

Reduced Complexity SCL Decoding of U-UV Codes Through List Pruning 通过列表修剪降低U-UV码的SCL译码复杂度

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233707

Wenhao Chen, Li Chen, Huazi Zhang

引用次数: 0

Graph Convolutional Integration based Distributed Multi-View Learning in Urban Air Mobility 基于图卷积集成的城市空中交通分布式多视图学习

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233715

Kai Xiong, Rui Wang, S. Leng, Quanxin Zhao, Meie Peng

{"title":"Graph Convolutional Integration based Distributed Multi-View Learning in Urban Air Mobility","authors":"Kai Xiong, Rui Wang, S. Leng, Quanxin Zhao, Meie Peng","doi":"10.1109/ICCCWorkshops57813.2023.10233715","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops57813.2023.10233715","url":null,"abstract":"Urban Air Mobility (UAM) expands vehicles from the ground to the near-ground space, envisioned as a revolution for transportation systems. Comprehensive scene perception is the foundation for Autonomous Air Vehicles (AAV). However, AAV encounters a primary perception challenge: three-dimensional piloting makes the visual perception of AAVs easily obstructed by skyscrapers in urban. High perception learning requirements conflict with the view-limited visual information. To overcome the challenge, multi-view learning has been proposed to collect multi-view data to train the onboard deep learning model. But traditional multi-view learning is deployed on a single device operating centrally, which is difficult to deploy in dynamic environments. Accordingly, this paper proposes Graph Convolutional Network (GCN) based Distributed Multi-View learning (GCNDMV), taking account of GCN relation extractability to facilitate single-view representation learning integration. The proposed distributed multi-view learning framework allows distinct single-view representation learning integration. Moreover, due to the diversity gain of different single-view learning, various single-view representation learning of the GCN-DMV outperforms a homogeneous single-view representation learning of GCN-DMV in terms of recognition accuracy. Simulation experiments are conducted over a realistic multi-view dataset to verify the efficiency of the distributed multi-view learning framework.","PeriodicalId":201450,"journal":{"name":"2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123623923","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

Integration of ToB Service and ToC Service for 5G-Advanced Networks 面向5g先进网络的ToB业务和ToC业务融合

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233842

Shuangyue Liu, J. Yin, Xuexin Li, Wenyi Li, Peirong Xie

{"title":"Integration of ToB Service and ToC Service for 5G-Advanced Networks","authors":"Shuangyue Liu, J. Yin, Xuexin Li, Wenyi Li, Peirong Xie","doi":"10.1109/ICCCWorkshops57813.2023.10233842","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops57813.2023.10233842","url":null,"abstract":"The fifth-generation (5G) network enables vertical industries and facilitates the digital and intelligent transformation of industries. However, 5G to business (ToB) and 5G to customer (ToC) cannot be accessed simultaneously by universal terminals, which poses inconvenience to customers in the education, government, cultural tourism. In this paper, a dual-domain fast network (DDFN) with network-side routed selected solution (NRSS) is proposed at the 5G core architecture and process level, which integrates ToB and ToC services for 5G-advanced networks. The DDFN customers can access the local public network and nearby private network simultaneously and imperceptibly with universal terminals at anytime and anywhere. NRSS is a routing scheme of DDFN, which directs various services onto distinct protocol data unit (PDU) sessions. Private network PDU sessions are automatically created when triggered by a particular policy. Compared to universal or standard solutions, NRSS without the upgrade of terminals exhibits superior capabilities in interprovincial roaming and compatibility with various access modes. In summary, NRSS-based DDFN enables service-based diversion without upgrading terminals and wireless infrastructure, which is a potential solution for applications in 5G-advanced industries.","PeriodicalId":201450,"journal":{"name":"2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128556726","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

Incremental Relay Inspired Mode Selection for SWIPT-Enabled NOMA Systems with Imperfect SIC and Random User Locations 具有不完美SIC和随机用户位置的swift -启用NOMA系统的增量中继启发模式选择

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233783

Yuan Ren, Zhouting Ding, Xuewei Zhang, Fan Jiang, Junxuan Wang

{"title":"Incremental Relay Inspired Mode Selection for SWIPT-Enabled NOMA Systems with Imperfect SIC and Random User Locations","authors":"Yuan Ren, Zhouting Ding, Xuewei Zhang, Fan Jiang, Junxuan Wang","doi":"10.1109/ICCCWorkshops57813.2023.10233783","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops57813.2023.10233783","url":null,"abstract":"This paper proposes transmission mode switching for the simultaneous wireless information and power transfer enabled non-orthogonal multiple access (NOMA) systems with imperfect successive interference cancellation (SIC) and random user locations. The system is composed of a base station (BS) and multiple near and far users. The location of the near and far users follows a homogeneous Poisson point process. The near users adopt incremental relay protocol and the simultaneous wireless information and power transfer enabled system can switch between cooperative and non-cooperative transmission mode based on 1-bit feedback of the far users. Due to the decoding errors of practical SIC process, imperfect SIC is considered at the near user. Under the proposed mode switching scheme, the closed-form expressions for the outage probability and system throughput are obtained considering random user locations. Numerical results demonstrate the correctness of the theoretical analysis and show that the proposed scheme outperforms the traditional cooperative and non-cooperative NOMA schemes in terms of outage and throughput performance.","PeriodicalId":201450,"journal":{"name":"2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126240987","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

Semantic Information Extraction for Text Data with Probability Graph 基于概率图的文本数据语义信息提取

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233741

Zhouxiang Zhao, Zhaohui Yang, Ye Hu, Licheng Lin, Zhaoyang Zhang

引用次数: 0

Power Allocation for Aerial RIS-assisted Jamming Nodes in Distributed MIMO Radar Networks 分布式MIMO雷达网络中空中ris辅助干扰节点的功率分配

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233714

Chong Zhang, Bo Wang, Mingan Luan, Jiahui Yang, Yanping Zhao, Fengye Hu

{"title":"Power Allocation for Aerial RIS-assisted Jamming Nodes in Distributed MIMO Radar Networks","authors":"Chong Zhang, Bo Wang, Mingan Luan, Jiahui Yang, Yanping Zhao, Fengye Hu","doi":"10.1109/ICCCWorkshops57813.2023.10233714","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops57813.2023.10233714","url":null,"abstract":"In the current rapid development of sensing systems, ensuring system security has become increasingly important. Reconfigurable Intelligent Surface (RIS) has shown potential in jamming radar localization due to their adaptive capability in reconfiguring wireless environments. In this paper, a novel jamming strategy is considered for the distributed MIMO radar system, in which the contribution of the RIS is to change the signal propagation environment to degrade radar localization performance. Firstly, we derive the Cramér-Rao lower bound (CRLB) as the performance metric. Subsequently, a joint optimization problem of RIS phase design and jamming power allocation is formulated with the aim of maximizing the minimum CRLB for locating UAV targets. On this basis, we propose a two-step-based approach to solve this non-convex problem of joint optimization. In the first step, the RIS phase design problem is addressed with semi-definite programming (SDP) and Gaussian randomization techniques. In the second step, an analytical solution for power optimization is obtained by employing the Lagrange multiplier method. Simulation results show the superior performance of the proposed strategy and verify the theoretical findings.","PeriodicalId":201450,"journal":{"name":"2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128171224","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

Transfer Learning-Based Physical Layer Authentication for Wireless Networks Handover 基于迁移学习的无线网络切换物理层认证

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233819

Shiji Wang, Shida Xia, Sha Liu, Yan Zhang, Chang Cao

引用次数: 0

An Intelligent Detector for Carrier Index Differential Chaos Shift Keying System 载波指数差分混沌移位键控系统的智能检测器

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233810

Dongyang Peng, Yi Fang, Huan Ma, Pingping Chen, Meiyuan Miao

引用次数: 0

Decentralized Federated Learning With Asynchronous Parameter Sharing 异步参数共享的分散联邦学习

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233712

Haihui Xie, M. Xia, Peiran Wu, Shuai Wang, Kaibin Huang

{"title":"Decentralized Federated Learning With Asynchronous Parameter Sharing","authors":"Haihui Xie, M. Xia, Peiran Wu, Shuai Wang, Kaibin Huang","doi":"10.1109/ICCCWorkshops57813.2023.10233712","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops57813.2023.10233712","url":null,"abstract":"Federated learning (FL) enables wireless terminals to collaboratively learn a shared parameter model while keeping all the training data on devices per se. Whatever parameter sharing is applied, the learning model shall adapt to distinct network architectures because an improper learning model will deteriorate learning performance and, even worse, lead to model divergence, especially for the asynchronous transmission in resource-limited distributed networks. To address this issue, this paper proposes a decentralized learning model and develops an asynchronous parameter-sharing algorithm for resource-limited distributed Internet of Things (IoT) networks. It can improve learning efficiency and realize efficient communication. By jointly accounting for the convergence bound of federated learning and the transmission delay of wireless communications, we develop a node scheduling and bandwidth allocation algorithm to improve the learning performance. Extensive simulation results corroborate the effectiveness of the distributed algorithm in terms of fast learning model convergence and low transmission delay.","PeriodicalId":201450,"journal":{"name":"2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130409420","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

Rate-Compatible Shortened PAC Codes 速率兼容的缩短PAC代码

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233795

Xinyi Gu, M. Rowshan, Jinhong Yuan

引用次数: 1