Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Progressive Linear Precoder Optimization for MIMO Packet Retransmissions

dc.contributor.authorSun, Hong
dc.contributor.authorManton, Jonathan
dc.contributor.authorDing, Zhi
dc.date.accessioned2015-12-07T22:19:02Z
dc.date.issued2006
dc.date.updated2015-12-07T08:29:37Z
dc.description.abstractThis paper investigates the optimal linear precoder design for packet retransmissions in multi-input-multi-output (MIMO) systems. To fully utilize the time diversity provided by automatic repeat request (ARQ), we derive a sequence of successive optimal linear ARQ precoders for flat fading MIMO channels, which minimize the mean-square error between the transmitted data and the joint receiver output. The optimization is subject to an overall transmit power constraint. This progressive linear ARQ precoder combines the appropriate power loading and the optimal pairing of channel matrix singular values in the current retransmission with previous transmissions. This optimal pairing is a special feature unique to our sequential ARQ precoding approach. Simulation results demonstrate the effectiveness of this optimized ARQ precoding in reducing symbol MSE and detection bit-error rate.
dc.identifier.issn0733-8716
dc.identifier.urihttp://hdl.handle.net/1885/19124
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.sourceIEEE Journal on Selected Areas in Communications
dc.subjectKeywords: Automatic repeat request (ARQ); Minimum mean-square error (MMSE); Multi-input-multi-output (MIMO); Packet retransmission; Precoding; Bit error rate; Computer simulation; Constraint theory; Data communication systems; Optimization; Packet networks Automatic repeat request (ARQ); Minimum mean-square error (MMSE); Multi-input-multi-output (MIMO); Packet retransmission; Precoding
dc.titleProgressive Linear Precoder Optimization for MIMO Packet Retransmissions
dc.typeJournal article
local.bibliographicCitation.issue3
local.bibliographicCitation.lastpage456
local.bibliographicCitation.startpage448
local.contributor.affiliationSun, Hong, Wright State University
local.contributor.affiliationManton, Jonathan, College of Engineering and Computer Science, ANU
local.contributor.affiliationDing, Zhi , University of California
local.contributor.authoruidManton, Jonathan, u4247300
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor080401 - Coding and Information Theory
local.identifier.ariespublicationu3357961xPUB7
local.identifier.citationvolume24
local.identifier.doi10.1109/JSAC.2005.862384
local.identifier.scopusID2-s2.0-33644981906
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
01_Sun_Progressive_Linear_Precoder_2006.pdf
Size:
306.35 KB
Format:
Adobe Portable Document Format