@inproceedings{1aa4b40663ba4da1a7a5a965a4317fa0,
title = "Physical-layer network coding in shallow sea underwater acoustic channels",
abstract = "To improve the limited-bandwidth in shallow underwater acoustic communication, we propose to apply the physical-layer network coding (PNC) to this communication system. This paper analyzes the model of shallow underwater acoustic channel – “Ray Model” and uses the adaptive equalization technique to eliminate the inter-symbol interference (ISI). Besides, we also study the principle of PNC and research the demodulation and mapping scheme in relay node. Finally, we combine the channel model and PNC technique in two-way relay communication (TWRC) system. The performance simulation of PNC is compared with the traditional multi-hop scheme and network coding (NC) scheme. The result shows that PNC scheme can improve the throughput of system but do not increase the bit error rate (BER) in the shallow underwater acoustic communication. It provides a new research direction for shallow underwater acoustic communication, and also expands a new field for PNC applications.",
keywords = "Bit error rate, Multi-path model, Physical-layer network coding, Throughput, Underwater acoustic channel",
author = "Bo Li and Xuesong Ding and Hongjuan Yang and Gongliang Liu and Xiyuan Peng",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; 6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017 ; Conference date: 14-07-2017 Through 16-07-2017",
year = "2019",
doi = "10.1007/978-981-10-6571-2\_36",
language = "英语",
isbn = "9789811065705",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "296--305",
editor = "Qilian Liang and Min Jia and Jiasong Mu and Wei Wang and Xuhong Feng and Baoju Zhang",
booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems",
address = "德国",
}