Article

# Antenna Selection for MIMO Systems with Closely Spaced Antennas.

EURASIP J. Wireless Comm. and Networking 01/2009; 2009. DOI: 10.1155/2009/739828
Source: DBLP

ABSTRACT Physical size limitations in user equipment may force multiple antennas to be spaced closely, and this generates a considerable amount of mutual coupling between antenna elements whose effect cannot be neglected. Thus, the design and deployment of antenna selection schemes appropriate for next generation wireless standards such as 3GPP long term evolution (LTE) and LTE advanced needs to take these practical implementation issues into account. In this paper, we consider multiple-input multipleoutput (MIMO) systems where antenna elements are placed side by side in a limited-size linear array, and we examine the performance of some typical antenna selection approaches in such systems and under various scenarios of antenna spacing and mutual coupling. These antenna selection schemes range from the conventional hard selection method where only part of the antennas are active, to some newly proposed methods where all the antennas are used, which are categorized as soft selection. For the cases we consider, our results indicate that, given the presence of mutual coupling, soft selection can always achieve superior performance as compared to hard selection, and the interelement spacing is closely related to the effectiveness of antenna selection. Our work further reveals that, when the effect ofmutual coupling is concerned, it is still possible to achieve better spectral efficiency by placing a few more than necessary antenna elements in user equipment and applying an appropriate antenna selection approach than plainly implementing the conventional MIMO system without antenna selection.

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• ##### Article: A Fast Antenna Selection Algorithm Based on Dissimilarity Coefficient in MIMO System
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ABSTRACT: MIMO system can offer considerable capacity. But as the antenna’s number increasing, the costs of hardware such as RF chains are very expensive, and limit the using of MIMO system. The traditional antenna selection algorithms based on correlation can give a low complexity but capacity performance loss is large. In this paper, a fast antenna selection algorithm is proposed for MIMO system based on dissimilarity coefficient criteria. The proposed algorithm can be used to calculate the correlation of antennas better, supplies more efficient capacity performance, and has the lower complexity. The simulation results verify the conclusions.
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• ##### Article: Fast Receive Antenna Selection for Spatial Multiplexing MIMO over Correlated Rayleigh Fading Channels
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ABSTRACT: It is well known that the capacity of spatial multiplexing multiple-input multiple-output (SM-MIMO) system employing optimal antenna selection can significantly outperform a system without selection for same number of costly radio frequency chains. However, it requires an exhaustive search for the optimal selection (OS) that grows exponentially with the available number of transmit (u) and receive (m) antennas. In this paper, a novel low complexity receive antenna selection (RAS) technique is proposed for SM-MIMO to maximize the channel capacity over correlated Rayleigh fading environment. It is based on the Euclidean norms of channel matrix rows and the corresponding phase differences due to their direct impact on the capacity. Extensive analysis and simulations have shown near optimal performance for any signal-to-noise-ratio and correlation values with low complexity of ${\mathcal{O} \left({u^{2}m}\right)}$ vector calculations. This technique provides fast RAS to capture most of the capacity gain promised by multiple antenna systems over different channel conditions. Furthermore, it enables efficient spectrum utilization for next generation wireless communications.
Wireless Personal Communications 06/2013; 70(4). · 0.43 Impact Factor

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May 23, 2014