A novel low-complexity near-ML multiuser detector for DS-CDMA and MC-CDMA systems

We propose a novel low-complexity multi-user detection algorithm based on tree search for a unified signal model that applies to both direct sequence code-division multiple access (DS-CDMA) and multi-carrier CDMA (MC-CDMA) systems. Simulation results show that the proposed algorithm outperforms most previously proposed multi-user detection schemes, and can achieve near-optimal (maximum likelihood) performance with very low complexity.