Reduced complexity analysis for ML MIMO systems

In this paper, we propose an uncomplicated Maximum Likelihood (ML) metric along with the breadth first tree search algorithm, to reduce the number of operations required and number of nodes to be processed while decoding the transmitted symbols of MIMO (Multiple Input Multiple Output) systems. Using the similarity property of the QAM (Quadrature Amplitude Modulation) the complexity of the system is reduced without compromising the performance.