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Compress-and-forward strategy for the relay channel with non-causal state information
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Compress-and-forward strategy for the relay channel with non-causal state information

Akhbari, B

Compress-and-forward strategy for the relay channel with non-causal state information

Akhbari, B ; Sharif University of Technology | 2009

334 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/ISIT.2009.5206000
  3. Publisher: 2009
  4. Abstract:
  5. In this paper, we consider a discrete memoryless state-dependent relay channel with non-causal Channel State Information (CSI). We investigate three different cases in which perfect channel states can be known non-causally: i) only to the source, ii) only to the relay or iii) both to the source and to the relay node. For these three cases we establish lower bounds on the channel capacity (achievable rates) based on using Gel'fandPinsker coding at the nodes where the CSI is available and using Compress-and-Forward (CF) strategy at the relay. Furthermore, for the general Gaussian relay channel with additive independent and identically distributed (i.i.d) states and noise, we obtain lower bounds on the capacity for the cases in which CSI is available at the source or at the relay. We also compare our derived bounds with the previously obtained results which were based on Decodeand-Forward (DF) strategy, and we show the cases in which our derived lower bounds outperform DF based bounds, and can achieve the rates close to the upper bound. © 2009 IEEE
  6. Keywords:
  7. Achievable rate ; Compress and forward ; Decode-and-forward ; Gaussian relays ; Lower bounds ; Perfect channels ; Relay channels ; Relay node ; State information ; State-dependent ; Upper Bound ; Channel capacity ; Control theory ; Fluorescence ; Channel state information
  8. Source: 2009 IEEE International Symposium on Information Theory, ISIT 2009, Seoul, 28 June 2009 through 3 July 2009 ; 2009 , Pages 1169-1173 ; 21578102 (ISSN); 9781424443130 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/5206000