Abstract
The substantial gains promised by multi-antenna systems require accurate channel knowledge, at least at the receiver side. Furthermore, the complexity of most receivers becomes unfeasible when the number of transmit antennas gets large (known as large-MIMO systems). In this paper, channel estimation by means of cooperative particle swarm optimization (CPSO) and factor-graph based data detection with belief propagation is presented. The overall complexity of the receiver grows linearly with respect to the number of transmit and receive antennas. Numerical results validate the performance of the CPSO channel estimation integrated within a graph-based iterative receiver, including a 24x16 MIMO system.
Christopher Knievel
Professor for Autonomous Systems
My research interests include situation assessment, maneuver planning, and machine learning applied for (mobile) autonomous systems.