VLSI Implementation of MIMO Signal Processing Algorithms

The efficient high-throughput VLSI implementation of near-optimal multiple-input multiple-output (MIMO) detectors for MIMO systems with large number of antennas in high-order quadrature amplitude modulation (QAM) schemes has been a major challenge in the literature. To address this challenge, this book introduces a novel scalable pipelined VLSI ar- chitecture for a 4 X 4 64-QAM MIMO receiver based on K-Best lattice decoders. The key contribution is a means of expanding/visiting the intermediate nodes of the search tree on-demand, rather than exhaustively along with three types of dis- tributed sorters operating in a pipelined structure. The combined expansion and sorting cores are able to find the K best candidates in K clock cycles. The pro- posed architecture has a fixed critical path independent of the constellation order, on-demand expansion scheme, efficient distributed sorters, and is scalable to a higher number of antennas/constellation orders. Fabricated in 0.13um CMOS, it operates at a significantly higher throughput than currently reported schemes.

Autorentext

Mahdi Shabany received the Ph.D. degree from the University of Toronto in 2008. From 2007 to 2008, he was with Redline Communications, Toronto, Canada, where he patented designs for WiMAX systems. Currently he is an assistant professor in the Electrical Engineering Department at Sharif University of Technology, Tehran, Iran.