Abstract
In the industrial cognitive radio networks, the wireless channel suffers from wireless interference and serious conflict. Specially the metal environment and mobility of the industry scene cause the multipath and shadow fading. These phenomena can lead to the transmission reliability without guarantee. To solve the problem, a new joint optimization of relay selection and power allocation algorithm was proposed based on the concept of channel sensing probability and channel availability. For this algorithm, three cognitive relay selection schemes, maximum channel gain selection, nearest neighbor selection and harmonic mean selection, were discussed respectively. The distributed power among the source and relay nodes was selected optimally to meet outage probability minimally simultaneously. The simulation results show that the proposed algorithm can achieve lower system outage probability and improves the transmission reliability compared with the algorithm of average power assignment.
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