Title
Distributed space-time coding with decode-and-forward-amplify-and-forward selection relaying protocol in cooperative wireless sensor networks
Abstract
Distributed space-time coding (DSTC) with an efficient relaying protocol, referred to as amplify-and-forward and decode-and-forward (DF-AF) selection relaying, has not received much attention yet. In the DF-AF selection relaying-aided DSTC transmissions, each relay could adaptively process the received signal according to its decoding state to improve the performance. In this study, the authors analyse the pairwise error probability (PEP) performance, the diversity order and the union bound on the error probability of the DSTC with DF-AF selection relaying in cooperative wireless sensor networks. More specifically, by introducing a random variable vector to denote the decoding state of the relays, the upper bounds of PEP are derived first for the DSTC with DF-AF selection relaying based on the Chernoff bound. Then, the diversity order and the union bound on the error probability are obtained based on the upper bounds of PEP. Finally, simulation results verify the theoretical analysis and demonstrate that the DSTC with DF-AF selection relaying has better error performance than the DSTC with DF protocol and the DSTC based on AF protocol.
Year
DOI
Venue
2013
10.1049/iet-wss.2012.0026
IET Wireless Sensor Systems
Keywords
Field
DocType
relay networks (telecommunication),protocols,decode and forward selection relaying protocol,decode and forward communication,cooperative communication,union bound,pairwise error probability performance,diversity order,chernoff bound,cooperative wireless sensor networks,amplify and forward selection relaying protocol,random variable vector,wireless sensor networks,space-time codes,error statistics,distributed space time coding,amplify and forward communication
Space–time code,Pairwise error probability,Random variable,Computer science,Computer network,Coding (social sciences),Decoding methods,Wireless sensor network,Chernoff bound,Relay
Journal
Volume
Issue
ISSN
3
1
2043-6386
Citations 
PageRank 
References 
0
0.34
4
Authors
1
Name
Order
Citations
PageRank
Tian Zhang1748.74