The interest in near-ML detection algorithms for Multiple-Input/lMultiple-Output (MIMO) systems have always been high due to their drastic performance gain over suboptimal algorith...
Abstract--In this paper, we propose a near-maximum likelihood (ML) detection method referred to as reduced dimension ML search (RD-MLS). The RD-MLS detector is based on a partition...
Abstract— For multiple-input multiple-output (MIMO) systems, the optimum maximum likelihood (ML) detection requires tremendous complexity as the number of antennas or modulation ...
Abstract—In this contribution the performance of multipleinput multiple-output space-division, code-division multipleaccess (MIMO SCDMA) is investigated, when the low-complexity ...
In this paper, we consider a low-complexity detection technique referred to as a reduced dimension maximum-likelihood search (RD-MLS). RD-MLS is based on a partitioned search which...
Jun Won Choi, Byonghyo Shim, Andrew C. Singer, Nam...