Computer Science – Information Theory
Scientific paper
2012-02-16
Computer Science
Information Theory
Scientific paper
Optimizing the energy efficiency (EE) for the MIMO broadcasting channels (BC) is addressed in this paper, taking into account the transmit independent power which is related to the active transmit antenna number. A new optimization framework is proposed, in which transmit covariance optimization under fixed active transmit antenna sets is first performed and active transmit antenna selection (ATAS) is utilized then. To optimize the EE under a fixed transmit antenna set, we propose an energy efficient iterative waterfilling scheme according to the block-coordinate ascent algorithm, through transforming the problem into a concave fractional optimization via uplink-downlink duality. It is proved that the proposed scheme converges to the global optimality. After that, ATAS is employed to determine the active transmit antenna set and to turn off the rest inactive antennas. ATAS can balance the active transmit antenna number related EE gain with higher capacity gain and the EE loss with more transmit independent power wasting. During the ATAS, the optimal exhaust search and norm based successive selection schemes are borrowed. Through simulation results, we discuss the effect of different parameters on the EE of the MIMO BC.
Qiu Ling
Xu Jie
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