Low-complexity optimization based algorithm for maximum likelihood multi-user detection

The multiuser detection (MUD) problem is revealed concave in nature. Then, a new concave programming-based algorithm for MUD is proposed. Our intensive simulation clearly shows that it outperforms all previously developed algorithms while the computational burden is essentially reduced.