On The Exact Distribution Of Mutual Information Of Two-user Mimo Mac Based On Quotient Distribution Of Wishart Matrices

dc.creatorPivaro
dc.creatorGabriel; Kumar
dc.creatorSantosh; Fraidenraich
dc.creatorGustavo
dc.date2017
dc.dateabr
dc.date2017-11-13T13:23:56Z
dc.date2017-11-13T13:23:56Z
dc.date.accessioned2018-03-29T05:56:28Z
dc.date.available2018-03-29T05:56:28Z
dc.identifierEurasip Journal On Wireless Communications And Networking. Springer International Publishing Ag, p. , 2017.
dc.identifier1687-1499
dc.identifierWOS:000399891900002
dc.identifier10.1186/s13638-017-0854-y
dc.identifierhttps://jwcn-eurasipjournals.springeropen.com/articles/10.1186/s13638-017-0854-y
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/328193
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1365218
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionWe propose an exact calculation of the probability density function (PDF) and cumulative distribution function (CDF) of mutual information (MI) for a two-user multiple-input multiple-output (MIMO) multiple access channel (MAC) network over block Rayleigh fading channels. This scenario can be found in the uplink channel of MIMO non-orthogonal multiple access (NOMA) system, a promising multiple access technique for 5G networks. So far, the PDF and CDF have been numerically evaluated since MI depends on the quotient of two Wishart matrices, and no closed form for this quotient was available. We derive exact results for the PDF and CDF of extreme (the Smallest/the largest) eigenvalues. Based on the results of quotient ensemble, the exact calculation for PDF and CDF of mutual information is presented via Laplace transform approach and by direct integration of joint PDF of quotient ensemble's eigenvalues. Furthermore, our derivations also provide the parameters to apply the Gaussian approximation method, which is comparatively easier to implement. We show that approximation matches the exact results remarkably well for outage probability, i.e., CDF, above 10%. However, the approximation could also be used for 1% outage probability with a relatively Small error. We apply the derived expressions to investigate the effects of adding antennas in the receiver and its ability to decode the weak user signal. By supposing no channel knowledge at transmitters and successive decoding at receiver, the capacity of the weak user increases and its outage probability decreases with the increment of extra antennas at the receiver end.
dc.descriptionCAPES-Brazil [BEX10714/14-6]
dc.descriptionCapes
dc.descriptionCNPq, Brazil
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.languageEnglish
dc.publisherSpringer International Publishing AG
dc.publisherCham
dc.relationEurasip Journal on Wireless Communications and Networking
dc.rightsfechado
dc.sourceWOS
dc.subjectMultiple Access Channel
dc.subjectMultiple-input Multiple-output
dc.subjectNon-orthogonal Multiple Access
dc.subjectMutual Information
dc.subjectOutage Probability
dc.subjectRayleigh Fading
dc.subjectWishart Matrices
dc.subjectQuotient Ensemble
dc.subjectExtreme Eigenvalues
dc.subjectGap Probabilities
dc.titleOn The Exact Distribution Of Mutual Information Of Two-user Mimo Mac Based On Quotient Distribution Of Wishart Matrices
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución