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Antenna Selection Strategies for MIMO-OFDM Wireless Systems: An Energy Efficiency Perspective | IEEE Journals & Magazine | IEEE Xplore

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


Abstract:

In this paper, we investigate antenna selection strategies for multiple-input-multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) wireless systems from...Show More

Abstract:

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.
Published in: IEEE Transactions on Vehicular Technology ( Volume: 65, Issue: 4, April 2016)
Page(s): 2048 - 2062
Date of Publication: 01 May 2015

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I. Introduction

Recent years have seen increasing demand for high-speed wireless communications. Moreover, reducing energy consumption in wireless networks is of significant interest among academic and industrial researchers. This is due to the fact that there are rising energy costs and carbon footprint of operating wireless networks with an increasing number of customers [1]. Consequently, energy efficiency (EE), which is conventionally defined as the number of transmitted information bits per unit energy (bits/Joule), needs to be considered as one of the key design metrics for future networks [2], [3]. The improvement of EE in wireless systems could be tackled at the component level (e.g., improve power amplifier (PA) efficiency), link level (e.g., discontinuous transmission and sleep modes), or network level (e.g., the layout of networks and their management) [3], [4].

References

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