Error Probability Bounds for Decode-and-Forward Relaying with Two Correlated Sources

We derive bounds on the error probability of optimal and sub- optimal detectors in an uncoded decode-and- forward relay system with two correlated information sources. This setup is relevant to wireless sensor networks where nearby sensors collect spatially correlated data. We show that taking into account the source correlation at the relay and at the destination leads to significant performance gains. Simulation results corroborate the tightness of our analytical bounds.

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

[2]  Ingmar Land,et al.  Bounds of the probability of error for decode-and-forward relaying with two sources , 2010, 2010 6th International Symposium on Turbo Codes & Iterative Information Processing.

[3]  Lars K. Rasmussen,et al.  Error bounds for decode-and-forward relaying , 2010, 2010 European Wireless Conference (EW).

[4]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

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

[6]  Georgios B. Giannakis,et al.  High-Performance Cooperative Demodulation With Decode-and-Forward Relays , 2007, IEEE Transactions on Communications.

[7]  Gianluigi Ferrari,et al.  On Non-Cooperative Block-Faded Orthogonal Multiple Access Schemes with Correlated Sources , 2011, IEEE Transactions on Communications.

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

[9]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[10]  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.