DocumentCode :
738224
Title :
Performance Analysis of Relay Selection in Two-Way Relay Networks With Channel Estimation Errors
Author :
Jyun-Wei Pu ; Tsang-Yi Wang ; Sheng-Hung Li ; Chih-Peng Li ; Hsueh-Jyh Li
Author_Institution :
Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Volume :
61
Issue :
3
fYear :
2015
Firstpage :
482
Lastpage :
493
Abstract :
The impact of channel estimation errors is investigated in two-way relay networks (TWRNs) with two different channel state information (CSI) estimation schemes, namely separate and cascaded. In the former scheme, the relay node is chosen in accordance with the CSI of the individual channels between the source nodes and the relay node. By contrast, in the latter scheme, relay node selection is performed in accordance with the CSI of the cascaded channel between the two source nodes. For both estimation schemes, the effect of the CSI estimation error on the outage probability is examined by means of the Cramér-Rao lower bound. Moreover, in contrast to previous studies, the source nodes in the TWRN are assumed to have different estimation errors. The numerical results confirm the validity of the derived expressions and show that the presence of different estimation errors at the two source nodes has a significant effect on the performance of the TWRN.
Keywords :
channel estimation; probability; relay networks (telecommunication); wireless channels; CSI estimation error; Cramér-Rao lower bound; TWRN; channel estimation errors; channel state information estimation schemes; outage probability; performance analysis; relay node selection; relay selection; source nodes; two-way relay networks; Channel estimation; Estimation error; Performance analysis; Relay networks (telecommunications); Sun; Channel estimation error; amplify-and-forward; outage probability; two-way relay networks;
fLanguage :
English
Journal_Title :
Broadcasting, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9316
Type :
jour
DOI :
10.1109/TBC.2015.2444352
Filename :
7156099
Link To Document :
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