具有解码和转发中继的压缩协作通信

N. Jain, V. Bohara, Anubha Gupta
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引用次数: 0

摘要

压缩感知(CS)理论由于能够在亚奈奎斯特采样率下重构稀疏信号而备受关注。近年来,CS被应用于通信系统中,如信道估计、大规模MIMO、认知无线电等。为了克服CSS的缺点,提高系统在可达速率方面的性能,本文将CS应用于解码和转发中继的覆盖合作频谱共享方案中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compressive cooperative communication with decode and forward relay
The theory of compressive sensing (CS) is acquiring attraction now a days, as it can reconstruct a sparse signal at a sub-Nyquist sampling rate. Recently CS is being used in communication systems for channel estimation, Massive MIMO, cognitive radio etc. In this paper, CS is using in an overlay cooperative spectrum sharing scheme for decode and forward relay, to not only overcome the drawbacks of CSS but also to enhance the performance of the system in terms of achievable rate.
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