Optimal Routing for the Gaussian Multiple-Relay Channel with Decode-and-Forward

In this paper, we study a routing problem on the Gaussian multiple relay channel, in which nodes employ a decode-and-forward coding strategy. We are interested in routes for the information flow through the relays that achieve the highest DF rate. We first construct an algorithm that provably finds optimal DF routes. As the algorithm runs in factorial time in the worst case, we propose a polynomial time heuristic algorithm that finds an optimal route with high probability. We demonstrate that that the optimal (and near optimal) DF routes are good in practice by simulating a distributed DF coding scheme using low density parity check codes with puncturing and incremental redundancy.

[1]  Panganamala Ramana Kumar,et al.  Towards an information theory of large networks: an achievable rate region , 2003, IEEE Trans. Inf. Theory.

[2]  Ashutosh Sabharwal,et al.  Low density parity check codes for the relay channel , 2007, IEEE Journal on Selected Areas in Communications.

[3]  Mehul Motani,et al.  Generalized Backward Decoding Strategies for the Relay Channel , 2007, IEEE Transactions on Information Theory.

[4]  Michael Gastpar,et al.  On the Performance of Independently Designed LDPC Codes for the Relay Channel , 2006, 2006 IEEE International Symposium on Information Theory.

[5]  Matthew C. Valenti,et al.  Distributed turbo coded diversity for relay channel , 2003 .

[6]  David J. C. MacKay,et al.  Good Error-Correcting Codes Based on Very Sparse Matrices , 1997, IEEE Trans. Inf. Theory.

[7]  Mehul Motani,et al.  The Capacity of the Single Source Multiple Relay Single Destination Mesh Network , 2006, 2006 IEEE International Symposium on Information Theory.

[8]  Zheng Zhang,et al.  Capacity approaching codes for relay channels , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

[9]  M.A. Khojastepour,et al.  Code design for the relay channel and factor graph decoding , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[10]  Mehul Motani,et al.  Optimal Routing for Decode-and-Forward based Cooperation in Wireless Networks , 2007, 2007 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

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

[12]  E. Meulen,et al.  Three-terminal communication channels , 1971, Advances in Applied Probability.

[13]  Panganamala Ramana Kumar,et al.  A network information theory for wireless communication: scaling laws and optimal operation , 2004, IEEE Transactions on Information Theory.

[14]  MotaniMehul,et al.  On the capacity of the single source multiple relay single destination mesh network , 2007 .

[15]  Wei Yu,et al.  Bilayer LDPC Codes for the Relay Channel , 2006, 2006 IEEE International Conference on Communications.

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

[17]  Panganamala Ramana Kumar,et al.  An achievable rate for the multiple-level relay channel , 2005, IEEE Transactions on Information Theory.

[18]  Robert G. Gallager,et al.  Low-density parity-check codes , 1962, IRE Trans. Inf. Theory.