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Complexity Adaptive OFDM Systems

Zhang, Jian (Andrew); Chen, Ying; Jayalath, Anagiyaddage Dhammik

Description

One disadvantage with current OFDM systems is, the system complexity associated with FFT module, equalier, etc is almost fixed and varies little with information bit rate. In this paper, based on an innovative "Layered" concept in FFT algorithms, we propose a novel OFDM system whose complexity is adaptive to the desired bit rate and system performance by exploiting transmitter diversity. Different diversity options in the transmitter and receiver are discussed, and verified in simulations.

dc.contributor.authorZhang, Jian (Andrew)
dc.contributor.authorChen, Ying
dc.contributor.authorJayalath, Anagiyaddage Dhammik
dc.coverage.spatialHonolulu Hawaii
dc.date.accessioned2015-12-08T22:46:13Z
dc.date.createdApril 15-20 2007
dc.identifier.isbn1424407281
dc.identifier.urihttp://hdl.handle.net/1885/38051
dc.description.abstractOne disadvantage with current OFDM systems is, the system complexity associated with FFT module, equalier, etc is almost fixed and varies little with information bit rate. In this paper, based on an innovative "Layered" concept in FFT algorithms, we propose a novel OFDM system whose complexity is adaptive to the desired bit rate and system performance by exploiting transmitter diversity. Different diversity options in the transmitter and receiver are discussed, and verified in simulations.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2007)
dc.sourceProceedings of the 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing
dc.subjectKeywords: Diversity options; Information bit rate; System complexity; System performance; Adaptive systems; Algorithms; Computer simulation; Fast Fourier transforms; Information analysis; Transceivers; Orthogonal frequency division multiplexing FFT; OFDM
dc.titleComplexity Adaptive OFDM Systems
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2007
local.identifier.absfor090609 - Signal Processing
local.identifier.ariespublicationu3357961xPUB157
local.type.statusPublished Version
local.contributor.affiliationZhang, Jian (Andrew), College of Engineering and Computer Science, ANU
local.contributor.affiliationChen, Ying, College of Engineering and Computer Science, ANU
local.contributor.affiliationJayalath, Anagiyaddage Dhammik, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage381
local.bibliographicCitation.lastpage384
local.identifier.doi10.1109/ICASSP.2007.366552
dc.date.updated2015-12-08T10:59:35Z
local.identifier.scopusID2-s2.0-34547496537
CollectionsANU Research Publications

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