A Design of Overlapped Chunked Code over Compute-and-Forward for Multi-Source Multi-Relay Networks

作     者：Ngeth, Rithea Kurkoski, Brian M. Lim, Yuto Tan, Yasuo 

作者机构：Japan Adv Inst Sci & Technol Sch Informat Sci Nomi Ishikawa 9231292 Japan 

出 版 物：《SENSORS》 (传感器)

年 卷 期：2018年第18卷第10期

页      面：3225-3225页

核心收录：

学科分类：0710[理学-生物学] 071010[理学-生物化学与分子生物学] 0808[工学-电气工程] 07[理学] 0804[工学-仪器科学与技术] 0703[理学-化学] 

基　　金：Japan Society for the Promotion of Science  JSPS  (16H02345) 

主　　题：overlapped chunked code compute-and-forward nested lattice code multi-source multi-relay empirical rank distribution decodability 

摘      要：This paper investigates the design of overlapped chunked codes (OCC) for multi-source multi-relay networks where a physical-layer network coding approach, compute-and-forward (CF) based on nested lattice codes (NLC), is applied for the simultaneous transmissions from the sources to the relays. This code is called OCC/CF. In this paper, OCC is applied before NLC before transmitting for each source. Random linear network coding is applied within each chunk. A decodability condition to design OCC/CF is provided. In addition, an OCC with a contiguously overlapping, but non-rounded-end fashion is employed for the design, which is done by using the probability distributions of the number of innovative codeword combinations and the probability distribution of the participation factor of each source to the codeword combinations received for a chunk transmission. An estimation is done to select an allocation, i.e., the number of innovative blocks per chunk and the number of blocks taken from the previous chunk for all sources, that is expected to provide the desired performance. From the numerical results, the design overhead of OCC/CF is low when the probability distribution of the participation factor of each source is dense at the chunk size for each source.