Antenna Selection Strategies for MIMO-OFDM Wireless Systems: An Energy Efficiency Perspective

In this paper, we investigate antenna selection strategies for multiple-input-multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) wireless systems from an energy efficiency (EE) perspective. We first derive closed-form expressions of the EE and the energy efficiency-spectral effic...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology 2016-04, Vol.65 (4), p.2048-2062
Main Authors: Ngoc Phuc Le, Safaei, Farzad, Le Chung Tran
Format: Article
Language:English
Subjects:
Antenna selection
Antennas
Channels
Codes
Computer simulation
Energy efficiency
Energy management
Exact solutions
MIMO
Monte Carlo simulation
OFDM
OFDM systems
Orthogonal Frequency Division Multiplexing
Power demand
Radio frequency
Receiving antennas
Search methods
Searching
Strategy
Transmitting antennas
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Summary:In this paper, we investigate antenna selection strategies for multiple-input-multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) wireless systems from an energy efficiency (EE) perspective. We first derive closed-form expressions of the EE and the energy efficiency-spectral efficiency (EE-SE) tradeoff in conventional antenna selection MIMO-OFDM systems. The obtained results show that these systems suffer from a significant loss in EE. To achieve a better EE performance, we propose an adaptive antenna selection method where both the number of active radio-frequency chains and the antenna indexes are selected depending on the channel condition. This selection scheme could be implemented by an exhaustive search technique for a small number of antennas. Moreover, we develop a greedy algorithm that achieves a near-optimal performance with much lower complexity compared with the (optimal) exhaustive search method when the number of antennas is large. In addition, the efficacy of power loading across subcarriers for improved EE in the conventional and proposed antenna selection MIMO-OFDM systems is considered. Monte Carlo simulation results are provided to validate our analyses.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2015.2428815