Near ML detection using Dijkstra’s algorithm with bounded list size over MIMO channels

We propose Dijkstrapsilas algorithm with bounded list size after QR decomposition for decreasing the computational complexity of near maximum-likelihood (ML) detection of signals over multiple-input-multiple-output (MIMO) channels. After that, we compare the performances of proposed algorithm, QR decomposition M-algorithm (QRM-MLD), and its improvement. When the list size is set to achieve the almost same symbol error rate (SER) as the QRM-MLD, the proposed algorithm has smaller average computational complexity.