On the performance of maximum ratio combining in cooperative cognitive networks with proactive relay selection under channel information errors

This paper proposes an exact and limit analysis framework for numerically assessing the outage performance of the maximum ratio combining in cooperative cognitive networks with proactive relay selection under channel information error on all channels simultaneously, maximum transmit power constraint, interference power constraint, and independent and non-identical fading channels. The proposed framework can be used for corresponding analysis in dual-hop cognitive networks with proactive relay selection to study how much performance gain can be achieved from utilizing the direct channel between the source and the destination in relaying communications. Various results demonstrate considerable system performance degradation and error floor phenomenon due to channel information error. However, performance degradation and error floor degree can be drastically mitigated by increasing the number of relays. Moreover, the direct channel significantly contributes to performance improvement at virtually no cost of system resources such as power and bandwidth.

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