DocumentCode :
3386708
Title :
Performance analysis of SNR-based hybrid incremental/selection Decode-and-Forward relaying in cooperative networks
Author :
Guoxin Li ; Jin Chen ; Chengmeng Ren
Author_Institution :
Coll. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
fYear :
2013
fDate :
23-25 March 2013
Firstpage :
1471
Lastpage :
1475
Abstract :
In this paper, we propose the SNR-based hybrid incremental/selection Decode-and-Forward (H-ISDF) relaying protocol. In the new protocol, the destination and the relay jointly choose relaying protocol based on the quality of the received signal at the destination and the relay, specifically, source retransmission in the second phase is allowed. We evaluate the performance of the protocol in terms of the end-to-end bit-error-rate (BER) and the signal-to-noise ratio (SNR) outage probability over independent non-identical flat Rayleigh fading channels. Exact closed-form expressions for the optimal relaying threshold that effectively minimizes the end-to-end BER and the outage probability of the system are derived. Monte-Carlo simulations are further provided to confirm the analytical results.
Keywords :
Monte Carlo methods; Rayleigh channels; cooperative communication; decode and forward communication; error statistics; probability; protocols; relay networks (telecommunication); signal processing; BER; H-ISDF relaying protocol; Monte-Carlo simulations; SNR outage probability; SNR-based hybrid incremental/selection; cooperative networks; decode-and-forward relaying protocol; end-to-end bit-error-rate; exact closed-form expressions; independent nonidentical flat Rayleigh fading channels; optimal relaying threshold; performance analysis; signal-to-noise ratio outage probability; source retransmission; Bit error rate; Closed-form solutions; Error probability; Fading; Protocols; Relays; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Technology (ICIST), 2013 International Conference on
Conference_Location :
Yangzhou
Print_ISBN :
978-1-4673-5137-9
Type :
conf
DOI :
10.1109/ICIST.2013.6747815
Filename :
6747815
Link To Document :
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