Efficient Sphere Detector Algorithm for Massive MIMO using GPU Hardware Accelerator

M.A. Arfaoui, H. Ltaief, Z. Rezki, M.S. Alouini, D.E. Keyes
In proceedings of the International Conference on Computational Science (ICCS16), (2016)

Efficient Sphere Detector Algorithm for Massive MIMO using GPU Hardware Accelerator

Keywords

Massive MIMO, Sphere Decoder Algorithm, GPU Acceleration, Real-Time Systems

Abstract

To further enhance the capacity of next generation wireless communication systems, massive multiple-input multiple-output (MIMO) has recently appeared as a necessary enabling technology to achieve high performance signal processing for large-scale multiple antennas. However, massive MIMO systems inevitably generate signal processing overheads, which translate into ever-increasing rate of complexity, and therefore, such systems may not maintain the inherent real-time requirement of wireless systems. We redesign the nonlinear sphere decoder method to increase the performance of the system, cast most memory-bound computations into compute-bound operations to reduce the overall complexity, and maintain the real-time processing thanks to the graphics processing unit (GPU) computational power. We show a comprehensive complexity and performance analysis on an unprecedented MIMO system scale, which can ease the design phase toward simulating future massive MIMO wireless systems.
 

Code

DOI: 10.1016/j.procs.2016.05.377

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