Lattice Reduction Aided Detector for MIMO Communication Via Ant Colony Optimisation

In this work heuristic ant colony optimisation (ACO) procedure is deployed in conjunction with lattice reduction (LR) technique aiming to improve the performance-complexity tradeoff of detection schemes in MIMO communication. A hybrid LR-ACO MIMO detector using the linear minimum mean squared error (MMSE) criterion as initial guess is proposed and compared with two other traditional (non)linear MIMO detectors, as well as with heuristic MIMO detection approaches from the literature, in terms of both performance and complexity metrics. Numerical results show that the proposed LR-ACO outperforms the traditional ACO-based MIMO detectors and the ACO detector with the MMSE solution as initial guess, with a significant complexity reduction while is able to reach full diversity degree in all scenarios considered, including different channel correlation levels, modulation orders, and antennas configuration.