DocumentCode
1774993
Title
Joint power allocation and antenna selection for energy-efficient OFDM D-MIMO systems
Author
Bo Hu ; Qiang Sun ; Jue Wang ; Chen Xu
Author_Institution
Sch. of Electron. & Inf. Eng., Nantong Univ., Nantong, China
fYear
2014
fDate
23-25 Oct. 2014
Firstpage
1
Lastpage
5
Abstract
In this paper, we propose a joint power allocation and antenna selection scheme for orthogonal-frequency-division-multiplexing (OFDM) distributed multiple-input multiple-output (D-MIMO) systems. Our aim is to increase energy efficiency (EE), under the constraint of transmission power of each remote access unit (RAU). Because of the multi-objective and non-convex nature of the problem, obtaining the optimal solution is computationally complex. Therefore, a low-complexity suboptimal scheme is proposed. We first convert the multi-objective problem to a simpler single objective optimization problem. Then, we develop a sub-gradient power allocation algorithm, which improves EE than equal power allocation. To further increase EE, we adopt an antenna selection method based on large scale fading. Simulation results demonstrate that, compared with the conventional approaches, joint power allocation and antenna selection scheme significantly improves the EE.
Keywords
MIMO communication; OFDM modulation; antennas; gradient methods; telecommunication power management; RAU; antenna selection method; antenna selection scheme; distributed multiple-input multiple-output systems; energy efficient OFDM D-MIMO systems; joint power allocation; multiobjective problem; orthogonal-frequency-division-multiplexing; remote access unit; single objective optimization problem; subgradient power allocation algorithm; transmission power constraint; Antennas; Fading; Joints; MIMO; OFDM; Optimization; Resource management; Antenna selection; OFDM; distributed MIMO; energy efficiency; power allocation;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Signal Processing (WCSP), 2014 Sixth International Conference on
Conference_Location
Hefei
Type
conf
DOI
10.1109/WCSP.2014.6992152
Filename
6992152
Link To Document