English

On the Rate Achievable for Gaussian Relay Channels Using Superposition Forwarding

Information Theory 2010-10-18 v1 math.IT

Abstract

We analyze the achievable rate of the superposition of block Markov encoding (decode-and-forward) and side information encoding (compress-and-forward) for the three-node Gaussian relay channel. It is generally believed that the superposition can out perform decode-and-forward or compress-and-forward due to its generality. We prove that within the class of Gaussian distributions, this is not the case: the superposition scheme only achieves a rate that is equal to the maximum of the rates achieved by decode-and-forward or compress-and-forward individually. We also present a superposition scheme that combines broadcast with decode-and-forward, which even though does not achieve a higher rate than decode-and-forward, provides us the insight to the main result mentioned above.

Keywords

Cite

@article{arxiv.1010.3071,
  title  = {On the Rate Achievable for Gaussian Relay Channels Using Superposition Forwarding},
  author = {Neevan Ramalingam and Zhengdao Wang},
  journal= {arXiv preprint arXiv:1010.3071},
  year   = {2010}
}

Comments

19 pages. 4 figures

R2 v1 2026-06-21T16:28:49.836Z