QRD-Assisted Adaptive Modulation-Aided MIMO Systems
QRD-Assisted Adaptive Modulation-Aided MIMO Systems
In this paper, we propose QR-decomposition (QRD)-based adaptive modulation (AM)-aided multiple-input–multiple-output (MIMO) systems. The proposed algorithm yields a tight lower bound of the free distance (FD), which determines the error probability of the detector in the high-signal-to-noise-ratio (SNR) region. Thus, this QRD-based AM algorithm is capable of achieving near-optimal performance at low complexity because the full QRD, which imposes high complexity, is performed only once for each channel realization, regardless of the number of AM modes.
Our simulation results show that the proposed algorithm exhibits a better bit-error-rate (BER) performance and reduced complexity compared with the existing algorithms.
Yang, Ping
3dba2634-eb2b-4df8-a995-1061b841afe1
Xiao, Yue
10f13317-e86c-4b9e-bc7a-f7622c37ee01
Li, Shaoqian
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Hanzo, Lajos
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Yang, Ping
3dba2634-eb2b-4df8-a995-1061b841afe1
Xiao, Yue
10f13317-e86c-4b9e-bc7a-f7622c37ee01
Li, Shaoqian
7a1537c2-39b8-44d2-8d44-3f402e7c5b84
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Yang, Ping, Xiao, Yue, Li, Shaoqian and Hanzo, Lajos
(2013)
QRD-Assisted Adaptive Modulation-Aided MIMO Systems.
IEEE Transactions on Vehicular Technology.
(In Press)
Abstract
In this paper, we propose QR-decomposition (QRD)-based adaptive modulation (AM)-aided multiple-input–multiple-output (MIMO) systems. The proposed algorithm yields a tight lower bound of the free distance (FD), which determines the error probability of the detector in the high-signal-to-noise-ratio (SNR) region. Thus, this QRD-based AM algorithm is capable of achieving near-optimal performance at low complexity because the full QRD, which imposes high complexity, is performed only once for each channel realization, regardless of the number of AM modes.
Our simulation results show that the proposed algorithm exhibits a better bit-error-rate (BER) performance and reduced complexity compared with the existing algorithms.
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Accepted/In Press date: 2013
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 355077
URI: http://eprints.soton.ac.uk/id/eprint/355077
ISSN: 0018-9545
PURE UUID: 407bddc5-66bb-4f6b-92e7-5f61fbff3bfe
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Date deposited: 27 Jul 2013 22:00
Last modified: 15 Mar 2024 02:38
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Contributors
Author:
Ping Yang
Author:
Yue Xiao
Author:
Shaoqian Li
Author:
Lajos Hanzo
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