Title :
Energy-Efficient MIMO-OFDMA Systems Based on Switching off RF Chains
Author :
Xu, Zhikun ; Yang, Chenyang ; Li, Geoffrey Ye ; Zhang, Shunqing ; Chen, Yan ; Xu, Shugong
Author_Institution :
Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
Abstract :
In this paper, both configuration of active radio frequency (RF) chains and resource allocation are investigated for improving energy efficiency of downlink multiple-input-multiple-output (MIMO) orthogonal frequency division multiple access (OFDMA) systems. We first formulate an optimization problem to minimize the total power consumed at the base station with the maximum transmit power constraint and ergodic capacity constraints from multiple users. Then a two-step suboptimal algorithm is proposed. Specifically, the continuous variable optimization problem is first solved, and then a discretization algorithm is presented to obtain the number of active RF chains and the number of subcarriers allocated to each user. Simulation results demonstrate that the proposed algorithm can provide significant power-saving gain over the all-on RF chain scheme and the adaptive subcarrier allocation helps to save more power.
Keywords :
MIMO communication; OFDM modulation; channel allocation; channel capacity; energy conservation; frequency division multiple access; optimisation; MIMO; OFDMA; adaptive subcarrier allocation; base station; continuous variable optimization problem; discretization algorithm; energy efficiency; ergodic capacity; multiple input multiple output; orthogonal frequency division multiple access; power saving; resource allocation; suboptimal algorithm; switching off RF chain; MIMO; Power demand; Radio frequency; Resource management; Upper bound; Wireless communication; Wireless sensor networks;
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2011 IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-8328-0
DOI :
10.1109/VETECF.2011.6093106