Prakash, Shiva and McLoughlin, Ian Vince (2011) Analysis of adaptive modulation with antenna selection under channel prediction errors. In: 2011 International Conference on Communications and Signal Processing. IEEE, pp. 504-508. ISBN 978-1-4244-9798-0. E-ISBN 978-1-4244-9799-7. (doi:10.1109/ICCSP.2011.5739372) (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:48900)
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. | |
Official URL: http://dx.doi.org/10.1109/ICCSP.2011.5739372 |
Abstract
The performance of an adaptive modulation system in Rayleigh fading channels exploiting spatial diversity through transmit antenna selection is analysed for the case of delay constrained networks. The system combines maximal ratio combining at the receiver and a transmit antenna selection system which switches between available antennas and modulation schemes at the transmitter. In a practical system, a delay between the channel being sampled at the receiver and acted upon by the transmitter will tend to degrade system performance. In this paper, a channel prediction scheme is employed at the receiver to provide estimates of future best transmission states, which includes selecting the best transmission antenna as well as the best supported M-QAM modulation scheme. The Shannon capacity for optimal rate and constant power is derived and presented, and used as a benchmark to evaluate the spectral efficiency of the discrete rate system optimised for instantaneous BER (bit error rate) and constant power constraint.
Item Type: | Book section |
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DOI/Identification number: | 10.1109/ICCSP.2011.5739372 |
Additional information: | Unmapped bibliographic data: Y1 - 2011/// [EPrints field already has value set] |
Uncontrolled keywords: | adaptive modulation, channel prediction, feedback delay, m qam, transmit antenna selection |
Subjects: | T Technology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Ian McLoughlin |
Date Deposited: | 03 Sep 2015 15:23 UTC |
Last Modified: | 05 Nov 2024 10:33 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/48900 (The current URI for this page, for reference purposes) |
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