Open AccessOutage probability analysis for a cognitive amplify‐and‐forward relay network with single and multi‐relay selection
Author(s) -
Chen Gaojie,
Alnatouh Ousama,
Chambers Jonathon
Publication year - 2013
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2012.0701
Subject(s) - relay , rayleigh fading , cumulative distribution function , computer science , underlay , probability density function , selection (genetic algorithm) , cognitive radio , upper and lower bounds , outage probability , interference (communication) , relay channel , signal to noise ratio (imaging) , expression (computer science) , constraint (computer aided design) , topology (electrical circuits) , fading , telecommunications , power (physics) , mathematics , statistics , wireless , channel (broadcasting) , artificial intelligence , physics , mathematical analysis , quantum mechanics , combinatorics , programming language , geometry
The authors evaluate the outage probability of a cognitive amplify‐and‐forward relay network with cooperation between certain secondary users, chosen by single and multi‐relay (two and four) selection, based on the underlay approach, which requires adherence to an interference constraint on the primary user. The relay selection is performed either on the basis of a max‐min strategy or one based on maximising exactly the end‐to‐end signal‐to‐noise ratio. To realise the relay selection schemes within the secondary networks, a predetermined threshold for the power of the received signal in the primary receiver is assumed. To assess the performance advantage of adding additional secondary relays, we obtain analytical expressions for the probability density function and cumulative density function of the received SNR and thereby provide closed form and near closed form expressions for outage probability over Rayleigh frequency flat fading channels. In particular, the authors present lower and upper bound expressions for outage probability and then provide a new exact expression for outage probability. These analytical results are verified by numerical simulation.