2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)最新文献_第4页

Proactive Eavesdropping Performance for Integrated Satellite-Terrestrial Relay Networks 卫星-地面综合中继网络的主动窃听性能

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233799

K. Guo, Min Wu, Xingwang Li, R. Liu, Jianmei Dai

引用次数: 1

Dependency-Aware Task Scheduling and Offloading Scheme based on Graph Neural Network For MEC-Assisted Network 基于图神经网络的mec辅助网络依赖感知任务调度与卸载方案

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233785

Yuwei Bian, Yang Sun, Mengdi Zhai, Wenjun Wu, Zhuwei Wang, Junjie Zeng

{"title":"Dependency-Aware Task Scheduling and Offloading Scheme based on Graph Neural Network For MEC-Assisted Network","authors":"Yuwei Bian, Yang Sun, Mengdi Zhai, Wenjun Wu, Zhuwei Wang, Junjie Zeng","doi":"10.1109/ICCCWorkshops57813.2023.10233785","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops57813.2023.10233785","url":null,"abstract":"Computation offloading is generally regarded as a promising technology to address the problem of insufficient computing power in mobile devices, while simultaneously satisfying low-latency requirements and furnishing exceptional support for intelligent applications. However, with the advancement of computing-intensive and delay-sensitive application service demands, how to assign applications with diversity requirements among various edge servers still remains a challenge. In this paper, we propose a graph neural network (GNN)–based dependency-aware task scheduling and offloading (GNN-TSO) scheme for MEC-assisted network to effectively coordinate wireless and computing resources for multiple applications. We first model the dependencies among all tasks of an application as a directed acyclic graph (DAG) and formulate the dependency-aware task scheduling and offloading problem as a combinatorial optimization problem which is hard to be solved. To capture the scalable features of DAG-type applications, we introduce the GNN to process tasks information of applications. Then we construct a Markov decision process for the fine-grained task scheduling and offloading strategy and apply policy gradient algorithm to jointly optimize the task scheduling priority and computation offloading decision. Simulation results show that the proposed scheme can effectively reduce the network cost compared with other reference schemes.","PeriodicalId":201450,"journal":{"name":"2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"38 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":"130729499","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

An Intent-based Network Empowered by Knowledge Graph: Enhancement of Intent Translation and Management Function for Vertical Industry 知识图谱授权下的基于意图的网络:垂直行业意图翻译与管理功能的增强

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233789

D. Wang, Shenhu Zhang, Ruiran Su, Huan Li, Xu Xia

{"title":"An Intent-based Network Empowered by Knowledge Graph: Enhancement of Intent Translation and Management Function for Vertical Industry","authors":"D. Wang, Shenhu Zhang, Ruiran Su, Huan Li, Xu Xia","doi":"10.1109/ICCCWorkshops57813.2023.10233789","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops57813.2023.10233789","url":null,"abstract":"In recent years, Intent-based Networks (IBNs) have emerged as an effective approach for managing and optimizing complicated networks. However, contemporary IBN systems continue to struggle with understanding user intent and converting it into network configurations. To address this problem, this research presents an intent-based network empowered by knowledge graph (IBN-KG), which combines knowledge graph technology with IBN to enhance intent translation and management. We concentrate on the construction of a knowledge graph for grid scenarios and its application to improve IBN performance. The paper also introduces a tailored Knowledge Graph construction scheme for vertical industry applications, focusing on smart grid scenarios. This involves a distinct data layer, knowledge extraction through natural language processing, knowledge fusion, knowledge updating, and knowledge application through user interfaces. In summary, the integration of Knowledge Graph technology with IBN promises a more intelligent, flexible, and effective way of translating and managing user intent in network configurations, with particular emphasis on applications in smart grid scenarios.","PeriodicalId":201450,"journal":{"name":"2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"20 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":"134397507","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

Intelligent Energy-Efficiency Trajectory Planning of Heterogeneous Air Base Stations for 6G Emergency Communication 面向6G应急通信的异构空军基站智能节能轨迹规划

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233750

Jingyue Tian, Peng Yu, Wenjing Li, Lei Feng, F. Zhou

引用次数: 0

Cooperative Integrated Sensing and Communication with Distributed Space-Time Block Coded OFDM 分布式空时分组编码OFDM协同集成传感与通信

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233792

Jiahui Zhang, Zesong Fei, Xinyi Wang, P. Liu, Jingxuan Huang, Bin Li

{"title":"Cooperative Integrated Sensing and Communication with Distributed Space-Time Block Coded OFDM","authors":"Jiahui Zhang, Zesong Fei, Xinyi Wang, P. Liu, Jingxuan Huang, Bin Li","doi":"10.1109/ICCCWorkshops57813.2023.10233792","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops57813.2023.10233792","url":null,"abstract":"Implementing integrated sensing and communication (ISAC) technique to construct perceptive mobile network (PMN) in existing communication networks has become a research hotspot. In this paper, we investigate the issue of cooperative ISAC (Co-ISAC) of multiple base stations (BSs). To avoid the impact of inter-cell interference (ICI) on CoISAC in joint transmission, the orthogonal frequency division multiplexing (OFDM) signals are encoded with space-time block coding (STBC) codeword by each cooperative BS in a distributed manner. Correspondingly, we propose an distributed STBCOFDM sensing processing scheme to simultaneously obtain both monostatic and bistatic sensing information. A novel sensing information fusion scheme is proposed to facilitate more accurate sensing. Numerical results show that with the employment of distributed STBC-OFDM signals, the proposed processing scheme can obtain and distinguish monostatic and bistatic observations, and the sensing information fusion scheme can effectively improve positioning accuracy.","PeriodicalId":201450,"journal":{"name":"2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"4 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":"133589423","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

A Low-Latency Iterative Decoding Architecture for MIMO-VLC Systems with GSM GSM MIMO-VLC系统的低延迟迭代译码结构

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233708

Zhaojie Yang, Yi Fang, Liang Lv, Xiaoxi Yu, Y. L. Guan

引用次数: 0

Few-Shot Signal Recognition for UAV Based on Prototype Network 基于原型网络的无人机少弹信号识别

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233774

Liuyang Cheng, Zhenyu Na, Hongchen Sun, Yun Lin, Bin Lin

{"title":"Few-Shot Signal Recognition for UAV Based on Prototype Network","authors":"Liuyang Cheng, Zhenyu Na, Hongchen Sun, Yun Lin, Bin Lin","doi":"10.1109/ICCCWorkshops57813.2023.10233774","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops57813.2023.10233774","url":null,"abstract":"In recent years, the frequent occurrence of illegal use of unmanned aerial vehicles (UAVs) has posed a serious threat to societal security. Therefore, the identification and classification of UAVs have become critically important. However, UAV signal recognition based on deep learning has faced technical challenges due to the lack of large-scale UAV datasets. To address this issue, a prototype network based on a composite loss is proposed to tackle insufficient samples in UAV signal recognition. The proposed network combines cross-entropy loss and label smoothing loss, and then utilizes a Residual Network (ResNet) for feature extraction of UAV signals. To evaluate the performance of the proposed network, we compare it with the prototype network only with cross-entropy loss, and conduct tests with 1, 5, 10, 15 and 20 samples. Experimental results demonstrate that the proposed network exhibits excellent performance in dealing with few-shot classification problems. Particularly, when the number of samples exceeds 15, the accuracy of the proposed network can reach 98%.","PeriodicalId":201450,"journal":{"name":"2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"54 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":"132165939","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

Blockchain-based Collision Avoidance Access Protocol for UAV Swarm 基于区块链的无人机群避碰接入协议

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233835

Gongming Lin, Wei Wang, Mengying Wang, Qiang Ye, Qihui Wu

引用次数: 0

A Multi-Ring Transmission Strategy for Ultraviolet Communication Networks 紫外光通信网络的多环传输策略

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233806

Lei Sun, Chen Gong, Zhengyuan Xu

引用次数: 0

Anti-Interference Filter Generator Based on MGDA-UB Strategy for V2X 基于MGDA-UB策略的V2X抗干扰滤波发生器

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233797

Xiaobo Liu, H Zhao, Changhao Han, Zhuofan Pang

引用次数: 0