QoS enhancement using blind and data aided approaches in cooperative wireless channels

The increasing demands by even expanding networks of wireless and mobile devices have put huge strains on the allotted spectrum where challenges are related to providing better quality of service (QoS) and higher channel capacity. Though in this regard, multi input multi output (MIMO) systems are regarded as one of the viable options, their subsequent modification called cooperative MIMO have evolved into better solutions where virtual transmit-relay and receive pairs enhance channel capacity limits and facilitate sharing of resources. Challenges continue to be in the domain of developing better approaches of capacity enhancement. The work focuses on such aspects and reports the experimental outcomes of four different types of equalization techniques for a relay assisted three-node two-hop MIMO cooperative communication system. The equalization techniques that we have employed are namely Minimum Mean Square Error (MMSE), Zero Forcing (ZF), one blind method namely Constant Modulus Algorithm(CMA) and have also implemented a training based equalization using Decision Feedback Equalizer (DFE).