Novel Near-Capacity Non-Iterative Interference Cancellation with MIMO Subspace Detection

A low-complexity detection algorithm is proposed in this paper with respect to large-scale Multiple-Input MultipleOutput (MIMO) system, e.g., 8×8 system. We involve QR Decomposition (QRD) to triangularize the effective MIMO channel matrix so that several MIMO sub-systems can be individually established, which allow detecting several (possibly overlapping) groups of data streams separately. This methodology is so-called MIMO Overlapped Subspace Detection (OSD). Furthermore, we propose an OSD based non-iterative Interference Cancellation (IC) approach, in which some streams can be cancelled out as reliable interference. Link layer simulations show that the proposed algorithm not only inherits the feature of OSD, yielding a scalable performance/complexity trade-off, but also can even closely approach the MIMO ergodic capacity.