Lattice reduction aided detector for dense MIMO via ant colony optimization

In this work heuristic ant colony optimization (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 other traditional (non)linear MIMO detector, as well as heuristic MIMO detection approaches from the literature in terms of both performance and complexity. Numerical results show that the proposed LR-ACO outperforms the traditional ACO MIMO detector, as well as the proposed ACO detector with the MMSE solution as initial guess, with a significant complexity reduction.