On Robust MMSE-Based Filter Designs for Multi-User Peer-to-Peer Amplify-and-Forward Relay Systems 


Vol. 38,  No. 9, pp. 798-809, Sep.  2013


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  Abstract

In this paper, we propose robust relay and destination filter design methods for the multi-user peer-to-peer amplify-and-forward relaying systems while taking imperfect channel knowledge into consideration. Specifically, the relay and destination filter sets are developed to minimize the sum mean-squared-error (MSE). We first present a robust joint optimum relay and destination filter calculation method with an iterative algorithm. Motivated by the need to reduce computational complexity of the iterative scheme, we then formulate a simplified sum MSE minimization problem using the relay filter decomposability, which lead to two robust sub-optimum non-iterative design methods. Finally, we propose robust modified destination filter design methods which require only local channel state information between relay node and a specific destination node. The analysis and simulation results verify that, compared with the optimum iterative method, the proposed non-iterative schemes suffer a marginal loss in performance while enjoying significantly improved implementation efficiencies. Also it is confirmed that the proposed robust filter design methods provide desired robustness in the presence of channel uncertainty.

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  Cite this article

[IEEE Style]

J. Shin, "On Robust MMSE-Based Filter Designs for Multi-User Peer-to-Peer Amplify-and-Forward Relay Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 9, pp. 798-809, 2013. DOI: .

[ACM Style]

Joonwoo Shin. 2013. On Robust MMSE-Based Filter Designs for Multi-User Peer-to-Peer Amplify-and-Forward Relay Systems. The Journal of Korean Institute of Communications and Information Sciences, 38, 9, (2013), 798-809. DOI: .

[KICS Style]

Joonwoo Shin, "On Robust MMSE-Based Filter Designs for Multi-User Peer-to-Peer Amplify-and-Forward Relay Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 9, pp. 798-809, 9. 2013.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880