MSE-Based Power Saving Method for Relay Systems 


Vol. 34,  No. 7, pp. 562-567, Jul.  2009


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  Abstract

In this paper, two-hop beamforming relay system, with source, relay, and destination nodes, is considered and the transmit- and receive-beamforming vectors and the relay processing matrix are designed for minimizing a mean square error (MMSE) between the transmit and receive signals. Here, to reduce the transmit power of the source or the relay, two local inequality constraints are involved with MMSE problem. By adopting the Lagrange method, closed formed Karush-Kuhn-Tucker (KKT) conditions (equalities) are derived and an iterative algorithm is developed to solve the entangled KKT equalities. Due to the inequality power constraints, the source or the relay can reduce its transmit power when the received signal-to-noise ratios (SNRs) of the first- and the second-hop are different. Meanwhile, the destination can achieve almost identical bit-error-rate performance compared to an optimal beamforming system maximizing the received SNR. This claim is supported by a computer simulation.

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  Cite this article

[IEEE Style]

J. Joung, "MSE-Based Power Saving Method for Relay Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 7, pp. 562-567, 2009. DOI: .

[ACM Style]

Jingon Joung. 2009. MSE-Based Power Saving Method for Relay Systems. The Journal of Korean Institute of Communications and Information Sciences, 34, 7, (2009), 562-567. DOI: .

[KICS Style]

Jingon Joung, "MSE-Based Power Saving Method for Relay Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 7, pp. 562-567, 7. 2009.