How much training is needed against smart jamming?

dc.contributor.authorNiyato, Dusiten_AU
dc.contributor.authorHjørungnes, Areen_AU
dc.contributor.authorZhou, Xiangyunen_AU
dc.coverage.spatialKyoto Japan
dc.date.accessioned2015-12-13T22:57:59Z
dc.date.created2011en_AU
dc.date.updated2016-02-24T08:38:37Z
dc.description.abstractThis paper studies training-based transmissions over multiple-input multiple-output (MIMO) fading channels in the presence of jamming. Each transmission block consists of a training phase and a data transmission phase. From an information-theoretic viewpoint, we formulate a max-min problem on the energy allocation between the two phases. The legitimate user of the channel aims to design a robust energy allocation strategy which maximizes its data rate under the worst case scenario assuming that the jammer is able to optimize its jamming energy allocation between the training phase and the data transmission phase. For a fixed training length, we derive an analytical solution to the robust energy allocation. When the training length is allowed to vary, we show that a robust design of the training length is generally larger than the number of transmit antennas and approaches half of the block length at low signal to jamming and noise ratio (SJNR). Our numerical results demonstrate a potential of 20% - 40% performance gain by using the proposed robust designs in various scenarios.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.isbn9.78161E+12en_AU
dc.identifier.urihttp://hdl.handle.net/1885/83221
dc.language.isoen_AUen_AU
dc.publisherIEEE Communications Societyen_AU
dc.sourceBlind Timing and Carrier Synchronization in Decode and Forward Cooperative Systemsen_AU
dc.subjectKeywords: Analytical solutions; Block lengths; Energy allocations; ITS data; Legitimate users; Max-min; Noise ratio; Numerical results; Performance Gain; Robust designs; Robust energy; Training length; Training phase; Transmission block; Transmit antenna; Worst casen_AU
dc.titleHow much training is needed against smart jamming?en_AU
dc.typeConference paperen_AU
local.contributor.affiliationZhou, Xiangyun (Sean), College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationNiyato, Dusit, Nanyang Technological Universityen_AU
local.contributor.affiliationHjørungnes, Are, University of Osloen_AU
local.contributor.authoruidZhou, Xiangyun (Sean), u2586105en_AU
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor100503 - Computer Communications Networks
local.identifier.ariespublicationf5625xPUB11443
local.identifier.doi10.1109/icc.2011.5962837en_AU
local.identifier.scopusID2-s2.0-80052141742
local.type.statusPublished Versionen_AU

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
01_Zhou_How_much_training_is_needed_2011.pdf
Size:
156.09 KB
Format:
Adobe Portable Document Format