High Performance Real-time Pre-Processing for Fixed-Complexity Sphere Decoder

Yun Wu, John McAllister, Peng Wang

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

Pre-processing (PP) of received symbol vector and channel matrices is an essential pre-requisite operation for Sphere Decoder (SD)-based detection of Multiple-Input Multiple-Output (MIMO) wireless systems. PP is a highly complex operation, but relative to the total SD workload it represents a relatively small fraction of the overall computational cost of detecting an OFDM MIMO frame in standards such as 802.11n. Despite this, real-time PP architectures are highly inefficient, dominating the resource cost of real-time SD architectures. This paper resolves this issue. By reorganising the ordering and QR decomposition sub operations of PP, we describe a Field Programmable Gate Array (FPGA)-based PP architecture for the Fixed Complexity Sphere Decoder (FSD) applied to 4 × 4 802.11n MIMO which reduces resource cost by 50% as compared to state-of-the-art solutions whilst maintaining real-time performance.
Original languageEnglish
Pages1250 - 1253
Number of pages4
DOIs
Publication statusPublished - Dec 2013
EventGlobal Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE - Austin, United States
Duration: 03 Dec 201305 Dec 2013

Conference

ConferenceGlobal Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
CountryUnited States
CityAustin
Period03/12/201305/12/2013

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    Wu, Y., McAllister, J., & Wang, P. (2013). High Performance Real-time Pre-Processing for Fixed-Complexity Sphere Decoder. 1250 - 1253. Paper presented at Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE, Austin, United States. https://doi.org/10.1109/GlobalSIP.2013.6737135