IEICE TRANSACTIONS on Communications
Performance Analysis for Multi-Antenna Relay Networks with Limited Feedback Beamforming
Summary :
In this letter, we study the performance of multi-antenna relay networks with limited feedback beamforming in decode-and-forward (DF) relaying. Closed-form expression for both outage probability and symbol error rate are derived by using the moment generation function (MGF) of the combined signal-to-noise ratio (SNR) at the destination. Subjected to a total power constraint, we also explore adaptive power allocation between source and relay to optimize the performance. Simulations are given to verify the correctness of our theoretical derivations. Results show that the proposed adaptive power allocation solution significantly outperforms the uniform power allocation method.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E94-B No.2 pp.603-606
- Publication Date
- 2011/02/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E94.B.603
- Type of Manuscript
- LETTER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Zhen LIU, Xiaoxiang WANG, Hongtao ZHANG, Zhenfeng SONG, "Performance Analysis for Multi-Antenna Relay Networks with Limited Feedback Beamforming" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 2, pp. 603-606, February 2011, doi: 10.1587/transcom.E94.B.603.
Abstract: In this letter, we study the performance of multi-antenna relay networks with limited feedback beamforming in decode-and-forward (DF) relaying. Closed-form expression for both outage probability and symbol error rate are derived by using the moment generation function (MGF) of the combined signal-to-noise ratio (SNR) at the destination. Subjected to a total power constraint, we also explore adaptive power allocation between source and relay to optimize the performance. Simulations are given to verify the correctness of our theoretical derivations. Results show that the proposed adaptive power allocation solution significantly outperforms the uniform power allocation method.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.603/_p
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@ARTICLE{e94-b_2_603,
author={Zhen LIU, Xiaoxiang WANG, Hongtao ZHANG, Zhenfeng SONG, },
journal={IEICE TRANSACTIONS on Communications},
title={Performance Analysis for Multi-Antenna Relay Networks with Limited Feedback Beamforming},
year={2011},
volume={E94-B},
number={2},
pages={603-606},
abstract={In this letter, we study the performance of multi-antenna relay networks with limited feedback beamforming in decode-and-forward (DF) relaying. Closed-form expression for both outage probability and symbol error rate are derived by using the moment generation function (MGF) of the combined signal-to-noise ratio (SNR) at the destination. Subjected to a total power constraint, we also explore adaptive power allocation between source and relay to optimize the performance. Simulations are given to verify the correctness of our theoretical derivations. Results show that the proposed adaptive power allocation solution significantly outperforms the uniform power allocation method.},
keywords={},
doi={10.1587/transcom.E94.B.603},
ISSN={1745-1345},
month={February},}
Copy
TY - JOUR
TI - Performance Analysis for Multi-Antenna Relay Networks with Limited Feedback Beamforming
T2 - IEICE TRANSACTIONS on Communications
SP - 603
EP - 606
AU - Zhen LIU
AU - Xiaoxiang WANG
AU - Hongtao ZHANG
AU - Zhenfeng SONG
PY - 2011
DO - 10.1587/transcom.E94.B.603
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2011
AB - In this letter, we study the performance of multi-antenna relay networks with limited feedback beamforming in decode-and-forward (DF) relaying. Closed-form expression for both outage probability and symbol error rate are derived by using the moment generation function (MGF) of the combined signal-to-noise ratio (SNR) at the destination. Subjected to a total power constraint, we also explore adaptive power allocation between source and relay to optimize the performance. Simulations are given to verify the correctness of our theoretical derivations. Results show that the proposed adaptive power allocation solution significantly outperforms the uniform power allocation method.
ER -
English
