Abstract | ||
---|---|---|
This letter considers amplify-and-forward (AF) cognitive relay networks with interference power constraint and transmit power constraint in a spectrum-sharing context. In particular, we impose the interference power constraint on secondary source node, and impose the interference power constraint and the transmit power constraint on secondary relay node. We derive the exact outage probability and the lower bound on symbol error rate (SER) of cognitive transmission over Rayleigh fading channels. Our results show that the outage probability and SER saturation phenomenons occur when the interference power constraint or the transmit power constraint reaches a specified value. Monte Carlo simulations are shown to validate the accuracy of the analytical results. |
Year | DOI | Venue |
---|---|---|
2013 | 10.1109/WCL.2013.012513.120834 | IEEE Wireless Commun. Letters |
Keywords | Field | DocType |
relay networks (telecommunication),cognitive transmission,radiofrequency interference,monte carlo simulation,cognitive radio,symbol error rate,cognitive relay network,telecommunication power management,interference power constraint,rayleigh fading channel,secondary source node,radio spectrum management,amplify-and-forward,amplify-and-forward cognitive relay network,outage probability,monte carlo methods,error statistics,secondary relay node,spectrum-sharing context,amplify and forward communication,rayleigh channels,af cognitive relay network,transmit power constraint,probability,ser saturation phenomenon,interference,wireless communication,signal to noise ratio,protocols | Topology,Secondary source,Monte Carlo method,Mathematical optimization,Transmitter power output,Rayleigh fading,Computer science,Upper and lower bounds,Communication channel,Interference (wave propagation),Statistics,Relay | Journal |
Volume | Issue | ISSN |
2 | 2 | 2162-2337 |
Citations | PageRank | References |
6 | 0.46 | 9 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Huogen Yu | 1 | 80 | 4.75 |
Wanbin Tang | 2 | 37 | 10.60 |
Shaoqian Li | 3 | 2276 | 195.05 |