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个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:teaching
性别:男
毕业院校:重庆大学
学位:博士
所在单位:软件学院、国际信息与软件学院
学科:软件工程. 计算机软件与理论
办公地点:开发区综合楼405
联系方式:Email: zkchen@dlut.edu.cn Moble:13478461921 微信:13478461921 QQ:1062258606
电子邮箱:zkchen@dlut.edu.cn
Toward Efficient 5G Transmission: SER Performance Analysis for Asynchronous Physical-Layer Network Coding
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论文类型:期刊论文
发表时间:2016-01-01
发表刊物:IEEE ACCESS
收录刊物:SCIE、EI
卷号:4
页面范围:5083-5097
ISSN号:2169-3536
关键字:Asynchronous PNC; belief propagation; performance bounds; SER analysis; 5G
摘要:People's pursuit of higher quality communication has never ceased, which challenges the layout of 5G networks. Physical-layer network coding (PNC), as a key technology for 5G, supplies a powerful platform through leveraging the broadcast nature of wireless media. However, the symbol error rate (SER) of PNC is not well investigated, which would seriously influence user's quality of experience due to packet loss in wireless environment. In this paper, considering both phase and symbol misalignments, we perform analysis on SER of asynchronous PNC. By assuming part of information is known to the relay, and we derive the lower bound for SER. Afterward, through applying the concept of error vector and eliminating redundant terms, we derive the upper bound for SER. Both the lower and upper bounds are applicable to either multiuser detection-based network coding or belief propagation-based maximum a posteriori decoding. Finally, Monte Carlo simulation verifies our results and demonstrates that the bounds are relatively tight. The analytical results derived in this paper can facilitate future studies of practical and theoretical issues on PNC.