Design and architecture of spatial multiplexing MIMO decoders for FPGAs

Chris Dick
Xilinx Inc.

Monday, March 9, 2009 at 1:00PM
54-134 Engineering IV Building
Refreshments Served

Abstract: Spatial multiplexing multiple-input-multiple-output (MIMO) communication systems have recently drawn significant attention as a means to achieve tremendous gains in wireless system capacity and link reliability. The optimal hard decision detection for MIMO wireless systems is the maximum likelihood (ML) detector. ML detection is attractive due to its superior performance (in terms of BER). However, direct implementation grows exponentially with the number of antennas and the modulation scheme, making its ASIC or FPGA implementation infeasible for all but low-density modulation schemes using a small number of antennas. Sphere decoding (SD) solves the ML detection problem in a computationally efficient manner. However, even with this complexity reduction, real-time implementation on a DSP processor is generally not feasible and high-performance parallel computing platforms such as FPGAs are increasingly being employed for this class of applications. The sphere detection problem affords many opportunities for algorithm and microarchitecture optimizations and tradeoffs. This presentation provides an overview of techniques to simplify and minimize FPGA resource utilization of sphere detectors for high-performance low-latency systems.