Energy Efficiency Optimization for MIMO Broadcast Channels

Optimizing the energy efficiency (EE) for the MIMO broadcast ing channels (BC) is addressed in this paper, taking into account the transmit independent po wer which is related to the active transmit antenna number. A new optimization framework is proposed, i n which transmit covariance optimization under fixed active transmit antenna sets is first performed an d active transmit antenna selection (ATAS) is utilized then. To optimize the EE under a fixed transmit ant en a set, we propose an energy efficient iterative waterfilling scheme according to the block-coord inate ascent algorithm, through transforming the problem into a concave fractional optimization via upli nk-downlink duality. It is proved that the proposed scheme converges to the global optimality. After t hat, 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 capacit y gain and the EE loss with more transmit independent power wasting. During the ATAS, the optimal exh aust search and norm based successive selection schemes are borrowed. Through simulation result s, we discuss the effect of different parameters on the EE of the MIMO BC.

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