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Parallel Architecture for Sphere Decoder with Runtime Constraint

Authors: Jin Lee; Hyung Soon Kim; Sin-Chong Park;

Parallel Architecture for Sphere Decoder with Runtime Constraint

Abstract

Since Schnorr-Euchner Sphere Decoding (SE-SD) does not guarantee a fixed throughput, the searching cycles of SE-SD should be limited for the practical implementation. Given SE-SD with runtime constraint causes degradation in performance due to the variance of searching cycles, an enhanced SE-SD architecture with a small variance of searching cycles is proposed in this paper for a multi-input multi-output(MIMO) system. Small variance in number of searching cycle is achieved by applying parallel partial Euclidean distance (PED) calculation units to the one-node-per-cycle architecture. Since the proposed architecture is able to evaluate more children nodes in a single cycle, average processing cycles and error performance are significantly improved with a per-block run-time constraint. Our proposed parallel architecture increases the complexity about two times, but it can obtain a 2 dB gain in a 4times4 16QAM system when the runtime constraint is 7 cycles.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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