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Uplink power control via adaptive Hidden-Markov-Model-Based pathloss estimation
journal contribution
posted on 2013-01-01, 00:00 authored by H Zhang, Pubudu PathiranaPubudu PathiranaDynamic variations in channel behavior is considered in transmission power control design for cellular radio systems. It is well known that power control increases system capacity, improves Quality of Service (QoS), and reduces multiuser interference. In this paper, an adaptive power control design based on the identification of the underlying pathloss dynamics of the fading channel is presented. Formulating power control decisions based on the measured received power levels allows modeling the fading channel pathloss dynamics in terms of a Hidden Markov Model (HMM). Applying the online HMM identification algorithm enables accurate estimation of the real pathloss ensuring efficient performance of the suggested power control scheme.
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Journal
IEEE transactions on mobile computingVolume
12Issue
4Pagination
657 - 665Publisher
IEEELocation
Piscataway, N.J.Publisher DOI
ISSN
1536-1233eISSN
1558-0660Language
engPublication classification
C1 Refereed article in a scholarly journalUsage metrics
Keywords
adaptive power controlCDMA cellular networksHidden Markov Modelmodel identificationScience & TechnologyTechnologyComputer Science, Information SystemsTelecommunicationsComputer ScienceCELLULAR RADIO SYSTEMSCONTROL ALGORITHMWIRELESS NETWORKSCDMA SYSTEMSCONVERGENCEPERFORMANCEERRORGAMEDistributed Computing
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