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Compress-and-Forward Via Multilevel Coding and Trellis Coded Quantization
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DOI：10.1109/LCOMM.2020.3048620.png)
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Abstract
En 中文
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.
Keywords:
Relays
Decoding
Iterative decoding
Encoding
Quantization (signal)
Modulation
Convolutional codes
Compress-forward relay
coded modulation
multilevel coding
trellis coded quantization
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