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Algorithm-Architecture Co-Design of Soft-Output ML MIMO Detector for Parallel Application Specific Instruction Set Processors

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Executive Summary

Emerging SDR baseband platforms are usually based on multiple DLP+ILP processors with massive parallelism. Although these platforms would theoretically enable advanced SDR signal processing, existing work implemented basic systems and simple algorithms. Importantly, MIMO is not fully supported in most implemented MIMO but with a simple linear detector. The authors' work explores the feasibility for SDR implementations of soft-output ML MIMO detectors, which brings 6-12 dB SNR gains when compared to popular linear detectors. Although soft-output ML MIMO detectors are considered to be challenging even for ASICs, they combine architecture-friendly algorithms, application specific instructions, code transformations and ILP/DLP explorations to make SDR implementations feasible.

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