Cooperative relaying in a cognitive radio network (CRN) has been
used to achieve diversity gain and energy efficiency through the
relay node. This dissertation investigates the Neuro-Fuzzy (NF)
based relay selection, fair resource allocation for cooperative
relay network. The main idea is to increase the data transmission
rate and spectrum utilization efficiency while decreasing the
outage probability and complexity of the system. The outage
probability and BER expressions have been derived. Simulation
results depict close consensus between analytical results and
simulations. NF selection algorithm provides better performance
improvement over conventional algorithms. The complexity analysis
shows that the proposed algorithm requires less time to select the
best relay. We also investigate opportunistic spectrum access and
spectrum hand-off (HO) for RCRN using intelligent NF based
approach. The main aim is to increase the average throughput of the
RCRN while reducing the number of HO decisions. Performance
evaluations also reveal that the outage probability is reduced and
the system's capacity is increased.
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