Efficient Sphere Detector Algorithm for Massive MIMO using GPU Hardware Accelerator

Mohamed-Amine Arfaoui, Hatem Ltaief, Zouheir Rezki, Mohamed-Slim Alouini, David E. Keyes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

To further enhance the capacity of next generation wireless communication systems, massive 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 system may not maintain the inherent real-time requirement of wireless systems. We redesign the non-linear 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 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.
Original languageEnglish (US)
Title of host publicationProcedia Computer Science
PublisherElsevier BV
Pages2169-2180
Number of pages12
DOIs
StatePublished - Jun 2 2016

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01

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