IEICE TRANSACTIONS on Information
Impact of Channel Estimation Errors in Cooperative Transmission over Nakagami-m Fading Channels
Summary :
In this paper, we analyze the impact of channel estimation errors for both decode-and-forward (DF) and amplify-and-forward (AF) cooperative communication systems over Nakagami-m fading channels. Firstly, we derive the exact one-integral and the approximate expressions of the symbol error rate (SER) for DF and AF relay systems with different modulations. We also present expressions showing the limitations of SER under channel estimation errors. Secondly, in order to quantify the impact of channel estimation errors, the average signal-to-noise-ratio (SNR) gap ratio is investigated for the two types of cooperative communication systems. Numerical results confirm that our theoretical analysis for SER is very efficient and accurate. Comparison of the average SNR gap ratio shows that DF model is less susceptible to channel estimation errors than AF model.
- Publication
- IEICE TRANSACTIONS on Information Vol.E94-D No.2 pp.298-307
- Publication Date
- 2011/02/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E94.D.298
- Type of Manuscript
- PAPER
- Category
- Information Network
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Lei WANG, Yueming CAI, Weiwei YANG, "Impact of Channel Estimation Errors in Cooperative Transmission over Nakagami-m Fading Channels" in IEICE TRANSACTIONS on Information,
vol. E94-D, no. 2, pp. 298-307, February 2011, doi: 10.1587/transinf.E94.D.298.
Abstract: In this paper, we analyze the impact of channel estimation errors for both decode-and-forward (DF) and amplify-and-forward (AF) cooperative communication systems over Nakagami-m fading channels. Firstly, we derive the exact one-integral and the approximate expressions of the symbol error rate (SER) for DF and AF relay systems with different modulations. We also present expressions showing the limitations of SER under channel estimation errors. Secondly, in order to quantify the impact of channel estimation errors, the average signal-to-noise-ratio (SNR) gap ratio is investigated for the two types of cooperative communication systems. Numerical results confirm that our theoretical analysis for SER is very efficient and accurate. Comparison of the average SNR gap ratio shows that DF model is less susceptible to channel estimation errors than AF model.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E94.D.298/_p
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@ARTICLE{e94-d_2_298,
author={Lei WANG, Yueming CAI, Weiwei YANG, },
journal={IEICE TRANSACTIONS on Information},
title={Impact of Channel Estimation Errors in Cooperative Transmission over Nakagami-m Fading Channels},
year={2011},
volume={E94-D},
number={2},
pages={298-307},
abstract={In this paper, we analyze the impact of channel estimation errors for both decode-and-forward (DF) and amplify-and-forward (AF) cooperative communication systems over Nakagami-m fading channels. Firstly, we derive the exact one-integral and the approximate expressions of the symbol error rate (SER) for DF and AF relay systems with different modulations. We also present expressions showing the limitations of SER under channel estimation errors. Secondly, in order to quantify the impact of channel estimation errors, the average signal-to-noise-ratio (SNR) gap ratio is investigated for the two types of cooperative communication systems. Numerical results confirm that our theoretical analysis for SER is very efficient and accurate. Comparison of the average SNR gap ratio shows that DF model is less susceptible to channel estimation errors than AF model.},
keywords={},
doi={10.1587/transinf.E94.D.298},
ISSN={1745-1361},
month={February},}
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TY - JOUR
TI - Impact of Channel Estimation Errors in Cooperative Transmission over Nakagami-m Fading Channels
T2 - IEICE TRANSACTIONS on Information
SP - 298
EP - 307
AU - Lei WANG
AU - Yueming CAI
AU - Weiwei YANG
PY - 2011
DO - 10.1587/transinf.E94.D.298
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2011
AB - In this paper, we analyze the impact of channel estimation errors for both decode-and-forward (DF) and amplify-and-forward (AF) cooperative communication systems over Nakagami-m fading channels. Firstly, we derive the exact one-integral and the approximate expressions of the symbol error rate (SER) for DF and AF relay systems with different modulations. We also present expressions showing the limitations of SER under channel estimation errors. Secondly, in order to quantify the impact of channel estimation errors, the average signal-to-noise-ratio (SNR) gap ratio is investigated for the two types of cooperative communication systems. Numerical results confirm that our theoretical analysis for SER is very efficient and accurate. Comparison of the average SNR gap ratio shows that DF model is less susceptible to channel estimation errors than AF model.
ER -
English
