Optimal Partial Decode-and-Forward Rates for Stochastically Degraded Gaussian Relay Channels

被引:0
|
作者
Gerdes, Lennart [1 ]
Weiland, Lorenz [1 ]
Riemensherger, Maximilian [1 ]
Utschick, Wolfgang [1 ]
机构
[1] Tech Univ Munich, Associate Inst Signal Proc, D-80290 Munich, Germany
关键词
Gaussian relay channel; MIMO; stochastically degraded; partial decode-and-forward; CAPACITY THEOREMS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For the Gaussian MIMO relay channel, we consider rates that can be achieved with the relay using the partial decode-and-forward (PDF) scheme, which is a generalization of the decode-and-forward (DF) scheme. Since for the general case the optimal channel input distribution for the PDF strategy is unknown, the maximum PDF rate for the Gaussian relay channel can only be determined if the best PDF strategy is equivalent to the DF strategy, point-to-point (P2P) transmission from source to destination, or if PDF achieves the cut-set bound (CSB), where Gaussian channel inputs are known to be optimal. In this paper, we identify and discuss two new such special cases, the stochastically degraded and the reversely stochastically degraded Gaussian relay channel.
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页数:5
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