MIMO Based Cooperative Communication and Joint Maximum-Likelihood Detection for Cognitive Radio System

In this work, novel cooperative communication strategies like Decode and Forward based relay schemes, joint maximum likelihood signal detection in combinational Multiple Input Output (MIMO) cognitive networks are used. The using Maximum-Likelihood (ML) detector at each relays, associated path links improves the quality of services destination node, which can be dynamically altered different combinations iterative computational complexity accumulated during ML detection. Here performs decoding transmit detected symbols to also multiple antennas equipped for communication. same combines MIMO diversity narrow down error probability among orthogonal transmissions. combination assisted scheme shows superior rate performance when compared non-iterative hard decoded simulations results proved influence penalty gaps that come with imperfect channel state information node.