Efficient Sphere Detector Algorithm for Massive MIMO using GPU Hardware Accelerator
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Type
Conference PaperKAUST Department
Extreme Computing Research CenterComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Applied Mathematics and Computational Science Program
Date
2016-06-02Online Publication Date
2016-06-02Print Publication Date
2016Permanent link to this record
http://hdl.handle.net/10754/613008
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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.Citation
Efficient Sphere Detector Algorithm for Massive MIMO using GPU Hardware Accelerator 2016, 80:2169 Procedia Computer SciencePublisher
Elsevier BVJournal
Procedia Computer ScienceConference/Event name
International Conference on Computational Science 2016Additional Links
http://linkinghub.elsevier.com/retrieve/pii/S1877050916308523ae974a485f413a2113503eed53cd6c53
10.1016/j.procs.2016.05.377