Channel prediction in non-regenerative multi-antenna relay selection systems
The use of multiple antennas in two-hop amplify-and-forward relay selection is analysed, where the source, relay and destination are each equipped with multiple receive but single transmit antennas. Since relay switching is based upon feedback information which is delay-limited, channel power predic...
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sg-ntu-dr.10356-1073622020-05-28T07:17:21Z Channel prediction in non-regenerative multi-antenna relay selection systems McLoughlin, Ian Vince Prakash, S. School of Computer Engineering DRNTU::Engineering::Computer science and engineering The use of multiple antennas in two-hop amplify-and-forward relay selection is analysed, where the source, relay and destination are each equipped with multiple receive but single transmit antennas. Since relay switching is based upon feedback information which is delay-limited, channel power prediction is employed to mitigate against the effect of outdated channel state information being used to make switching decisions. During transmission, a source selects a best relay on the basis of predicted signal-to-noise ratio over all available links. A chosen relay then employs maximal ratio combining at its receiver, and applies a variable gain to the received signal before forwarding to the destination. Closed form outage probability and bit error rate solutions are found for arbitrary numbers of relays and receive antennas, and used to explore trade offs between number of relays and number of antennas compared with single antenna alternatives. To assess predictor performance in combatting switching delay, comparison is made to non-predictive systems. 2013-10-21T07:23:48Z 2019-12-06T22:29:19Z 2013-10-21T07:23:48Z 2019-12-06T22:29:19Z 2012 2012 Journal Article McLoughlin, I., & Prakash, S. (2012). Channel prediction in non-regenerative multi-antenna relay selection systems. IET Communications, 6(13), 2027-2032. 1751-8628 https://hdl.handle.net/10356/107362 http://hdl.handle.net/10220/16661 10.1049/iet-com.2012.0118 en IET Communications |
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DRNTU::Engineering::Computer science and engineering McLoughlin, Ian Vince Prakash, S. Channel prediction in non-regenerative multi-antenna relay selection systems |
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The use of multiple antennas in two-hop amplify-and-forward relay selection is analysed, where the source, relay and destination are each equipped with multiple receive but single transmit antennas. Since relay switching is based upon feedback information which is delay-limited, channel power prediction is employed to mitigate against the effect of outdated channel state information being used to make switching decisions. During transmission, a source selects a best relay on the basis of predicted signal-to-noise ratio over all available links. A chosen relay then employs maximal ratio combining at its receiver, and applies a variable gain to the received signal before forwarding to the destination. Closed form outage probability and bit error rate solutions are found for arbitrary numbers of relays and receive antennas, and used to explore trade offs between number of relays and number of antennas compared with single antenna alternatives. To assess predictor performance in combatting switching delay, comparison is made to non-predictive systems. |
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School of Computer Engineering |
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School of Computer Engineering McLoughlin, Ian Vince Prakash, S. |
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Article |
author |
McLoughlin, Ian Vince Prakash, S. |
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McLoughlin, Ian Vince |
title |
Channel prediction in non-regenerative multi-antenna relay selection systems |
title_short |
Channel prediction in non-regenerative multi-antenna relay selection systems |
title_full |
Channel prediction in non-regenerative multi-antenna relay selection systems |
title_fullStr |
Channel prediction in non-regenerative multi-antenna relay selection systems |
title_full_unstemmed |
Channel prediction in non-regenerative multi-antenna relay selection systems |
title_sort |
channel prediction in non-regenerative multi-antenna relay selection systems |
publishDate |
2013 |
url |
https://hdl.handle.net/10356/107362 http://hdl.handle.net/10220/16661 |
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