Signal combining for relay transmission with rateless codes

The invention of practical rateless codes in the form of Luby transform and Raptor codes has facilitated the implementation of decode-and-forward relaying schemes which permit the relay to autonomously switch between listening and collaboration phase. Considering the classical three-node relay network employing such a flexible decode-and-forward mechanism, in this paper we investigate signal combining strategies for the destination node. In particular, we compare information and energy combining considered previously in the literature and introduce a new, so-called mixed combining scheme, which is a hybrid of the two former strategies. Assuming general finite-size signal constellations we show that mixed combining is advantageous over the pure combining schemes in terms of achievable rate given the same total transmit energy. A comparison of the associated constellation-constrained capacities with simulated rates achieved for relay transmission with moderate-length Raptor codes underscores (i) the relevance of the capacity-based analysis and (ii) the suitability of rateless codes for relay transmission.

[1]  Bin Zhao,et al.  Practical relay networks: a generalization of hybrid-ARQ , 2005, IEEE Journal on Selected Areas in Communications.

[2]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[3]  Yongyi Mao,et al.  Rateless Coding and Relay Networks , 2007, IEEE Signal Processing Magazine.

[4]  Aria Nosratinia,et al.  Coded cooperation in wireless communications: space-time transmission and iterative decoding , 2004, IEEE Transactions on Signal Processing.

[5]  Yongyi Mao,et al.  Rateless coding for wireless relay channels , 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..

[6]  Ezio Biglieri Coding for Wireless Channels: Information Technology: Transmission, Processing and Storage , 2010 .

[7]  Abbas El Gamal,et al.  Capacity theorems for the relay channel , 1979, IEEE Trans. Inf. Theory.

[8]  Patrick Mitran,et al.  Variable-Rate Two-Phase Collaborative Communication Protocols for Wireless Networks , 2006, IEEE Transactions on Information Theory.

[9]  Michael Gastpar,et al.  Cooperative strategies and capacity theorems for relay networks , 2005, IEEE Transactions on Information Theory.

[10]  Michael Luby,et al.  LT codes , 2002, The 43rd Annual IEEE Symposium on Foundations of Computer Science, 2002. Proceedings..

[11]  Patrick Mitran,et al.  Space-time diversity enhancements using collaborative communications , 2005, IEEE Transactions on Information Theory.

[12]  Yongyi Mao,et al.  Rateless coding for wireless relay channels , 2005, ISIT.

[13]  Elza Erkip,et al.  User cooperation diversity. Part I. System description , 2003, IEEE Trans. Commun..

[14]  Antonia Maria Tulino,et al.  Optimum power allocation for parallel Gaussian channels with arbitrary input distributions , 2006, IEEE Transactions on Information Theory.

[15]  Andreas F. Molisch,et al.  Performance of Fountain Codes in Collaborative Relay Networks , 2007, IEEE Transactions on Wireless Communications.

[16]  Ezio Biglieri,et al.  Coding for Wireless Channels , 2005 .

[17]  Gregory W. Wornell,et al.  Cooperative diversity in wireless networks: Efficient protocols and outage behavior , 2004, IEEE Transactions on Information Theory.