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.

Optimizing Training-based MIMO Systems: How Much Time is Needed for Actual Transmission?

dc.contributor.authorSadeghi, Parastooen_AU
dc.contributor.authorLamahewa, Tharakaen_AU
dc.contributor.authorZhou, Xiangyunen_AU
dc.coverage.spatialTaipei Taiwan
dc.date.accessioned2015-12-10T22:53:51Z
dc.date.created2010en_AU
dc.date.updated2016-02-24T11:01:24Z
dc.description.abstractWe study the design of training-based multiple-input multiple-output systems in two block-wise transmission schemes. The conventional transmission scheme has a fixed amount of energy to be used in each block, hence transmission takes place in every block. For this scheme, we study the optimality of using all available time in each block for transmission and provide bounds to significantly reduce the ranges of the possible values of the optimal training and data lengths. The second scheme, called the flashy transmission scheme, is constrained by an average amount of energy per block, and uses some but not necessarily all blocks for transmission. For this scheme, we find the optimal fraction of blocks to be used for transmission. When this optimal fraction is less than one, we show that the optimal training and data lengths are independent of the energy constraint.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.urihttp://hdl.handle.net/1885/59528
dc.language.isoen_AUen_AU
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_AU
dc.sourceProceedings of IEEE Vehicular Technology Conference Spring 2010en_AU
dc.subjectKeywords: Data length; Energy constraint; Multiple input multiple output system; Optimal training; Optimality; Transmission schemes; MIMO systems; Optimization; Transmissionsen_AU
dc.titleOptimizing Training-based MIMO Systems: How Much Time is Needed for Actual Transmission?en_AU
dc.typeConference paperen_AU
local.bibliographicCitation.lastpage5
local.bibliographicCitation.startpage1
local.contributor.affiliationZhou, Xiangyun (Sean), College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationSadeghi, Parastoo, College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationLamahewa, Tharaka, College of Engineering and Computer Science, ANUen_AU
local.contributor.authoruidZhou, Xiangyun (Sean), u2586105en_AU
local.contributor.authoruidSadeghi, Parastoo, u4267276en_AU
local.contributor.authoruidLamahewa, Tharaka, u3995913en_AU
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080502 - Mobile Technologies
local.identifier.absfor090609 - Signal Processing
local.identifier.absfor100510 - Wireless Communications
local.identifier.absseo890104 - Mobile Telephone Networks and Services
local.identifier.ariespublicationu4334215xPUB495
local.identifier.doi10.1109/VETECS.2010.5493832en_AU
local.identifier.scopusID2-s2.0-77954902972
local.type.statusPublished Versionen_AU

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
01_Zhou_Optimizing_Training-based_MIMO_2010.pdf
Size:
140.29 KB
Format:
Adobe Portable Document Format