z-logo
open-access-imgOpen Access
Exact Outage Probability of Cognitive Underlay DF Relay Networks with Best Relay Selection
Author(s) -
Vo Nguyen Quoc Bao,
Trung Q. Duong
Publication year - 2012
Publication title -
ieice transactions on communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.211
H-Index - 56
eISSN - 1745-1345
pISSN - 0916-8516
DOI - 10.1587/transcom.e95.b.2169
Subject(s) - underlay , relay , computer science , rayleigh fading , outage probability , fading , relay channel , selection (genetic algorithm) , cognitive radio , monte carlo method , computer network , telecommunications , signal to noise ratio (imaging) , wireless , channel (broadcasting) , mathematics , statistics , artificial intelligence , power (physics) , physics , quantum mechanics
In this letter, we address the performance analysis of underlay selective decode-and-forward (DF) relay networks in Rayleigh fading channels with non-necessarily identical fading parameters. In particular, a novel result on the outage probability of the considered system is presented. Monte Carlo simulations are performed to verify the correctness of our exact closed-form expression. Our proposed analysis can be adopted for various underlay spectrum sharing applications of cognitive DF relay networks.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom