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Effects of Channel Prediction for Transmit Antenna Selection With Maximal-Ratio Combining in Rayleigh Fading

Prakash, Shiva, McLoughlin, Ian Vince (2011) Effects of Channel Prediction for Transmit Antenna Selection With Maximal-Ratio Combining in Rayleigh Fading. IEEE Transactions on Vehicular Technology, 60 (6). pp. 2555-2568. ISSN 0018-9545. (doi:10.1109/TVT.2011.2157184) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:48899)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/TVT.2011.2157184

Abstract

Antenna selection is a low-complexity method for pragmatically exploiting spatial diversity in wireless systems. It has potentially reduced hardware cost compared with space&x2013;time or multiple-input&x2013;multiple-output (MIMO) coding due to the reduction in the amount of radio-frequency hardware required. Although receive antenna selection is, perhaps, more common, transmit antenna selection (TAS) offers several advantages, particularly for hardware-costly transmit schemes, such as, methods that require linearization. In use, TAS requires at least partial channel knowledge at the transmitter to perform selection. This knowledge usually comes in the form of an index to the best set of antenna/antennas that are fed back from the receiver, which implies a delay between the channel that is sampled (at the receiver) and this knowledge being acted upon (at the transmitter). In this paper, performance degradation due to outdated channel knowledge is analytically determined and related to channel characteristics. A predictive scheme is then developed to mitigate delay-induced degradation. Several factors that are related to TAS system performance under different channel scenarios, both with and without mitigation, are explored. Closed-form expressions for performance metrics such as bit error rate, outage probability, average signal-to-noise ratio (SNR) gain, and higher order moments of the output SNR, are derived and verified by simulations. The impact of prediction is analyzed for different TAS setups and channel prediction scenarios, as well as various system design parameters.

Item Type: Article
DOI/Identification number: 10.1109/TVT.2011.2157184
Uncontrolled keywords: bit error rate (ber), channel prediction, maximal ratio combining (mrc), outage probability, transmit antenna selection (tas)
Subjects: T Technology
Divisions: Faculties > Sciences > School of Computing
Depositing User: Ian McLoughlin
Date Deposited: 07 Sep 2015 15:31 UTC
Last Modified: 29 May 2019 14:40 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/48899 (The current URI for this page, for reference purposes)
McLoughlin, Ian Vince: https://orcid.org/0000-0001-7111-2008
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