Design of Network Coding Schemes in Wireless Networks
暫譯: 無線網路中的網路編碼方案設計

本書提供了各種網路編碼技術的綜合視角，這些技術可在無線網路設計中實施，以改善其整體性能。內容涵蓋多個來源通過共同中繼與多個目的地進行通信，並隨後介紹多重接入中繼通道的網路編碼調變方案。

Zihuai Lin received the Ph.D. degree in Electrical Engineering from Chalmers University of Technology, Sweden, in 2006. Prior to this he has held positions at Ericsson Research, Stockholm, Sweden. Following Ph.D. graduation, he worked as a Research Associate Professor at Aalborg University, Denmark. At the same time, he worked at the Nokia Siemens Networks research center as an external senior researcher on 4G LTE standardization. He is currently a senior lecturer at the School of Electrical and Information Engineering, the University of Sydney, Australia. He has published more than 200 papers in international conferences and journals, which have been cited more than 2500 times. He holds twelve CN, three US, and one AU patents on LTE system design, distributed network coding and wireless sensor networks, microwave Ghost imaging, indoor localization, and ECG/EEG AI data analysis. His research interests include source/channel/network coding, coded modulation, massive MIMO, mmWave/THz communications, radio resource management, cooperative communications, small-cell networks, 5G/6G, IoT, wireless Artificial Intelligence (AI), ECG and EEG AI signal analysis, Radar imaging, etc.

林子懷於2006年獲得瑞典查爾默斯科技大學電機工程博士學位。在此之前，他曾在瑞典斯德哥爾摩的愛立信研究所任職。博士畢業後，他在丹麥奧爾堡大學擔任研究副教授。同時，他也在諾基亞西門子網路研究中心擔任外部高級研究員，專注於4G LTE標準化。目前，他是澳大利亞悉尼大學電氣與資訊工程學院的高級講師。他在國際會議和期刊上發表了超過200篇論文，這些論文的引用次數超過2500次。他擁有十二項中國專利、三項美國專利和一項澳大利亞專利，涵蓋LTE系統設計、分散式網路編碼、無線感測網路、微波幽靈成像、室內定位以及心電圖/腦電圖人工智慧數據分析等領域。他的研究興趣包括源/通道/網路編碼、編碼調變、大規模MIMO、毫米波/太赫茲通訊、無線資源管理、協作通訊、小型基站網路、5G/6G、物聯網、無線人工智慧（AI）、心電圖和腦電圖AI信號分析、雷達成像等。