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Analysis of Parallel Sorting Algorithms in K-best Sphere-Decoder Architectures for MIMO Systems

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3 Author(s)
Cervantes-Lozano, P. ; ITESM Campus Estado de Mexico, Atizapan de Zaragoza, Mexico ; Gonzalez-Perez, L.F. ; Garcia-Garcia, A.D.

This article presents a complexity and delay analysis of Parallel Sorting Algorithms (PSA) in K-best Sphere-Decoder (K-best SD) receivers in slow-flat Rayleigh fading channels for MIMO (Multiple-Input Multiple-Output) systems. The K-best SD algorithm is a strategic Near-Optimal Spatial-Multiplexing MIMO (SM-MIMO) demodulation solution (due to its trade-off between Bit-Error-Rate performance and algorithmic complexity) that requires sorting procedures for symbol-decoding purposes. Unfortunately, sorting represents a critical data throughput bottleneck for K-best SD architectures. PSA alleviate this situation by providing suitable implementations of sorting algorithms easily adapted to K-best SD architectures. Several versions of the Bubble-Sort (BS) and the Batcher-Sort (BtchS) algorithms are considered for this analysis.

Published in:

Reconfigurable Computing and FPGAs (ReConFig), 2011 International Conference on

Date of Conference:

Nov. 30 2011-Dec. 2 2011

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