Joint network-channel coding in the multiple-access relay channel: Beyond two sources

The combination of log-likelihood ratio (LLR) quantization and network coding was previously shown to be a promising compress-and-forward strategy for the multiple access relay channel with two sources. In this paper, we generalize this approach to the case of more than two sources. Our proposed relay scheme consists of a scalar LLR quantizer for each source followed by a network coding (NC) step that suitably combines the quantizer outputs. We use the information bottleneck method to design the quantizers and the NC function. At the destination, an iterative message-passing decoder is used to jointly decode all source messages. Numerical simulations demonstrate the effectiveness of the proposed transmission strategy and its suitability for asymmetric source-relay channel conditions.

[1]  Christoph Hausl,et al.  Communication Theory Joint network-channel coding for the multiple-access relay channel based on turbo codes , 2009, Eur. Trans. Telecommun..

[2]  Georg Zeitler,et al.  On Quantizer Design for Soft Values in the Multiple-Access Relay Channel , 2009, 2009 IEEE International Conference on Communications.

[3]  Rudolf Ahlswede,et al.  Network information flow , 2000, IEEE Trans. Inf. Theory.

[4]  Gerald Matz,et al.  Joint network-channel coding for the asymmetric multiple-access relay channel , 2012, 2012 IEEE International Conference on Communications (ICC).

[5]  J. Widmer,et al.  Design of network coding functions in multihop relay networks , 2008, 2008 5th International Symposium on Turbo Codes and Related Topics.

[6]  Gerhard Kramer,et al.  Hierarchical sensor networks: capacity bounds and cooperative strategies using the multiple-access relay channel model , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..

[7]  Tomás̆ Novosad,et al.  Radio Network Planning and Optimisation for Umts , 2006 .

[8]  Naftali Tishby,et al.  The information bottleneck method , 2000, ArXiv.

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

[10]  Georg Zeitler,et al.  Cooperative Uplink of Two Mobile Stations with Network Coding Based on the WiMax LDPC Code , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

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

[12]  Christoph Hausl,et al.  Joint Network-Channel Coding for the Multiple-Access Relay Channel , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[13]  X. Jin Factor graphs and the Sum-Product Algorithm , 2002 .

[14]  Sichao Yang,et al.  Network Coding over a Noisy Relay : a Belief Propagation Approach , 2007, 2007 IEEE International Symposium on Information Theory.