Compress-and-Forward Via Multilevel Coding and Trellis Coded Quantization
Compress-and-Forward Via Multilevel Coding and Trellis Coded Quantization
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DOI：
10.1109/lcomm.2020.3048620
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发表时间：
2021-04
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影响因子：
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通讯作者：
Heping Wan;A. Høst-Madsen;Aria Nosratinia
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文献类型：
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作者：
Heping Wan;A. Høst-Madsen;Aria Nosratinia
即使在中继器无法解码源信号时，压缩转发（CF）中继器也可以提高通信速率。CF的有效实现是当代感兴趣的主题，部分原因是其对诸如云RAN之类的无线技术的潜在影响。在高频谱效率机制中CF实现的性能与相应的信息理论可实现速率之间存在差距。我们开始通过重新制定一个困境，造成这种差距，并提出了一种方法来缓解。我们利用网格编码量化（TCQ）在中继连同多级编码在源和中继，在一种方式，便于计算在联合解码的目的地的比特LLR。这项工作的贡献包括设计TCQ端到端的中继性能，因为失真最小化TCQ是次优的。所报告的改进包括比PSK调制的先前结果增加1dB增益。
Compress-forward (CF) relays can improve communication rates even when the relay cannot decode the source signal. Efficient implementation of CF is a topic of contemporary interest, in part because of its potential impact on wireless technologies such as cloud-RAN. There exists a gap between the performance of CF implementations in the high spectral efficiency regime and the corresponding information theoretic achievable rates. We begin by re-framing a dilemma causing this gap, and propose an approach for its mitigation. We utilize trellis coded quantization (TCQ) at the relay together with multi-level coding at the source and relay, in a manner that facilitates the calculation of bit LLRs at the destination for joint decoding. The contributions of this work include designing TCQ for end-to-end relay performance, since a distortion-minimizing TCQ is suboptimum. The reported improvements include a 1dB gain over prior results for PSK modulation.