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Approximation bound for semidefinite relaxation based multicast transmit beamforming
Conference paper

Approximation bound for semidefinite relaxation based multicast transmit beamforming

Tsung-Hui Chang, Zhi-Quan Luo and Chong-Yung Chi
2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP, pp.193-196
2007

Abstract

Approximation bound Broadcasting Semidefinite relaxation Transmit beamforming
The max-min-fair transmit beamforming problem in multigroup broadcasting has been shown to be NP-hard in general. Recently, a polynomial time approximation approach based on semidefinite relaxation (SDR) has been proposed [1]. It was found [1]. through computer simulations, that this method is capable of giving a good approximate solution in polynomial time. This paper shows that the SDR based approach can guarantee as least an ο(1/M) approximation quality, where M is the total number of receivers. The existence of such a data independent bound certifies the worst case approximation quality of the SDR algorithm for any problem instance and any number of transmit antennas. © 2007 IEEE.

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