IEEE international Symposium on Broadband Multimedia Systems and Broadcasting最新文献_第9页

Collaborative Task Offloading Based on Scalable DAG in Cell-Free HetMEC Networks 无小区HetMEC网络中基于可扩展DAG的协同任务卸载

IEEE international Symposium on Broadband Multimedia Systems and Broadcasting Pub Date : 2023-06-14 DOI: 10.1109/BMSB58369.2023.10211161

Xi Lu, Xiaofei Yu, Chaowei Wang, Weidong Wang, Jun Zhen

引用次数: 0

GC-LDPC Coded Modulation GC-LDPC编码调制

IEEE international Symposium on Broadband Multimedia Systems and Broadcasting Pub Date : 2023-06-14 DOI: 10.1109/BMSB58369.2023.10211141

Kun Liu, H. Yang

引用次数: 0

Research on Model and Simulation of Vehicle Network Based on LTE Technology 基于LTE技术的车辆网络模型与仿真研究

IEEE international Symposium on Broadband Multimedia Systems and Broadcasting Pub Date : 2023-06-14 DOI: 10.1109/BMSB58369.2023.10211162

Xinyu Gai, Zhicheng Li, Yaqin Zhang, Shiqi Li, Guimin Meng, Lele Lv

{"title":"Research on Model and Simulation of Vehicle Network Based on LTE Technology","authors":"Xinyu Gai, Zhicheng Li, Yaqin Zhang, Shiqi Li, Guimin Meng, Lele Lv","doi":"10.1109/BMSB58369.2023.10211162","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211162","url":null,"abstract":"Vehicle Ad Hoc Network (VANET) is one of the important means to realize intelligent transportation system, which can improve road safety and traffic efficiency. At present, two key technologies of vehicle communication include DSRC (Dedicated Short-Range Communication) and LTE (Long Term Evolution). After 20 years of in-depth research, DSRC has reached sufficient technical maturity, but its performance improvement space is relatively limited. LTE is a relatively new 3GPP-based standard and is considered the strongest competitor to IEEE 802.11p.There are many mature analysis models in DSRC reliability analysis, however as LTE is a newly emerging vehicle networking technology, the existing analysis models have some problems that do not conform to actual traffic scenarios and incomplete analysis of beacon transmission errors. Although technological innovations allow LTE to have many features over DSRC, studies have found that DSRC outperforms in some respects.Given the existing shortcomings of analysis models, this paper proposes an LTE broadcast performance analysis model based on the Poisson distribution traffic model. This model uses the Markov State Transition Process to evaluate the probability of packet reception for LTE combined with four transmission errors. The numerical results of the analysis model is cross-validated through the network simulation results obtained by the MATLAB simulator, which proves the correct-ness of the model.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"286 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83433215","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

Research on 5G Base Station to Satellite Earth Station Interference and Mitigation Methods 5G基站对卫星地面站干扰及缓解方法研究

IEEE international Symposium on Broadband Multimedia Systems and Broadcasting Pub Date : 2023-06-14 DOI: 10.1109/BMSB58369.2023.10211260

Lei Liu, Xiang Meng, Weiliang Xie

引用次数: 0

Fault Management Platform based on Knowledge Graph in Network Slicing Environment 网络切片环境下基于知识图的故障管理平台

IEEE international Symposium on Broadband Multimedia Systems and Broadcasting Pub Date : 2023-06-14 DOI: 10.1109/BMSB58369.2023.10211138

Detai Pan, Yunzhou Dong, Minglu Qi, Qiujia Fu, Zhengdong Lin, Guanliang Chen, Yingkun Liao, Peng Lin

{"title":"Fault Management Platform based on Knowledge Graph in Network Slicing Environment","authors":"Detai Pan, Yunzhou Dong, Minglu Qi, Qiujia Fu, Zhengdong Lin, Guanliang Chen, Yingkun Liao, Peng Lin","doi":"10.1109/BMSB58369.2023.10211138","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211138","url":null,"abstract":"In the network slicing environment, SDN and NFV technologies improve the utilization of network resources. However, these technologies lead to the greater dynamic nature of network resources and bring greater challenges to network fault management. Firstly, based on the analysis of network elements in network slicing environment, the fault management platform architecture in network slicing environment is proposed. Secondly, in order to improve the efficiency of the fault management mechanism, the knowledge graph is applied to the fault management field and the fault management knowledge graph is constructed. The functions that the knowledge framework can realize include fault prediction, elastic strategy, fault location, and fault self-healing. Finally, according to the requirements of fault management, a fault management question answering system based on knowledge graph is designed. From the two dimensions of business feasibility and implementation feasibility, the feasibility of the fault management platform is verified.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"637 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78987306","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

The Architecture of Computing Power Network Towards Federated Learning: Paradigms and Perspectives 面向联邦学习的计算能力网络体系结构:范式与视角

IEEE international Symposium on Broadband Multimedia Systems and Broadcasting Pub Date : 2023-06-14 DOI: 10.1109/BMSB58369.2023.10211630

Jie Mei, Min Wei, Yukun Sun, Jiacong Li, Gefan Zhou, Xing Zhang

引用次数: 1

Fault Prediction of IoT Terminals based on Improved ResNet and BiLSTM Models 基于改进ResNet和BiLSTM模型的物联网终端故障预测

IEEE international Symposium on Broadband Multimedia Systems and Broadcasting Pub Date : 2023-06-14 DOI: 10.1109/BMSB58369.2023.10211120

Yonghua Huo, Y. Liu, Wei Huang, Chengwen Fan, Yang Yang

引用次数: 0

Unknown Channel End-to-End Learning of Communication System With Residual DCGAN 带有残余DCGAN的通信系统的未知信道端到端学习

IEEE international Symposium on Broadband Multimedia Systems and Broadcasting Pub Date : 2023-06-14 DOI: 10.1109/BMSB58369.2023.10211449

Daifu Yan, Min Jia, Qingbei Guo, Xuemai Gu

{"title":"Unknown Channel End-to-End Learning of Communication System With Residual DCGAN","authors":"Daifu Yan, Min Jia, Qingbei Guo, Xuemai Gu","doi":"10.1109/BMSB58369.2023.10211449","DOIUrl":"https://doi.org/10.1109/BMSB58369.2023.10211449","url":null,"abstract":"Conventional communication systems are generally based on modular design, since the modules are optimized separately, the system can not achieve the optimal performance. An end-to-end communication system model can be implemented by deep learning, which can improve the transmission performance. However, the channel environment is changeable and unknown, which make the optimization of the end-to-end communication system impossible. Recently, the birth of the deep convolutional generative adversarial networks (DCGAN) can simulate unknown channels and solve the optimization problem of end-to-end systems. Then, the DCGAN has poor training stability, and the problems of over-fitting and gradient disappearance caused by it will lead to performance degradation. In this paper, we propose a residual-based DCGAN model to alleviate these problems. Specifically, we introduce a residual block structure, which effectively alleviates the over-fitting problem of the gradient. In addition, we introduce the Wasserstein distance to measure the difference between the generated data and the real data distribution, and further solve the problem of model training instability. Simulation results show that our proposed Residual DCGAN-based model effectively improves the block error rate (BLER) performance compared with traditional methods.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"16 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87808429","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

Research on Fault Management System based on Artificial Intelligence in Data Network 基于人工智能的数据网络故障管理系统研究

IEEE international Symposium on Broadband Multimedia Systems and Broadcasting Pub Date : 2023-06-14 DOI: 10.1109/BMSB58369.2023.10211345

Yunzhou Dong, Xinyu Wang, Fangyou Fu, Zhengdong Lin, Chaona Yin, Yingkun Liao, Peng Lin

引用次数: 0

Task Value Aware Optimization of Routing for Computing Power Network 基于任务值感知的计算能力网络路由优化

IEEE international Symposium on Broadband Multimedia Systems and Broadcasting Pub Date : 2023-06-14 DOI: 10.1109/BMSB58369.2023.10211159

Xiaoyao Huang, Bo Lei, Min Wei, Guo Ji, Hang Lv

引用次数: 0