Title
N Plus Normalized Threshold Opportunistic Relay Selection with Outdated Channel State Information
Abstract
In this paper, we propose a new multiple relay selection scheme with the availability of outdated channel state information (CSI) for decode and forward (DaF) relay systems, namely the N plus normalized threshold opportunistic relay selection (N+NT-ORS). In particular, we first opportunistically select N best relays out of all relays in the decoding subset with respect to relay-to-destination signal-to-noise ratios (SNRs). Then the ratios of the SNRs on the rest of the relays in the decoding subset to that of the N-th highest SNR are tested against a normalized threshold μ ∈ [0,1] and only those relays passing this test are selected in addition to the N best relays. Through the derivation of the moment generating function (MGF) of SNR, together with the relationship between MGF and outage probability, we obtain a closed-form expression for the outage probability. In addition to analyzing the asymptotic diversity order for N+NTS-ORS, we also outline a distributed N+NT ORS selection protocol without the need of global CSI at each relay. Numerical results confirm the correctness of the derivation and show how N+NT-ORS outperforms its existing counterparts.
Year
DOI
Venue
2011
10.1109/icc.2011.5962774
ICC
Keywords
Field
DocType
decoding subset,n plus normalized threshold opportunistic relay selection,protocols,diversity reception,csi,decode and forward communication,asymptotic diversity order,outdated channel state information,distributed n+nt-ors selection protocol,relay-to-destination signal-to-noise ratio,wireless channels,outage probability,multiple relay selection scheme,snr,mgf,decoding,decode and forward relay systems,probability,moment generating function,signal to noise ratio,channel state information
Topology,Normalization (statistics),Telecommunications,Computer science,Correctness,Signal-to-noise ratio,Computer network,Decoding methods,Outage probability,Moment-generating function,Relay,Channel state information
Conference
ISSN
ISBN
Citations 
1550-3607 E-ISBN : 978-1-61284-231-8
978-1-61284-231-8
1
PageRank 
References 
Authors
0.35
14
3
Name
Order
Citations
PageRank
Moyuan Chen1201.14
Ted C.-K. Liu2824.42
Xiaodai Dong395885.45