Title :
Uplink power control via adaptive HMM estimation
Author :
Zhang, Huan ; Pathirana, Pubudu N.
Author_Institution :
Sch. of Eng. & Inf. Technol., Deakin Univ., Geelong, VIC, Australia
Abstract :
Transmit power control is an important consideration in the cellular system design since it increases system capacity, improves QoS and reduces multi-user interference. In this paper, an adaptive power control design based on the identification of the underlying pathloss of the fading channel is presented. Making power control decisions based on the measured received power allows to model the fading channel pathloss dynamics with a Hidden Markov Model. Applying the online HMM identification algorithm enables accurate estimation of the the real pathloss which ensures efficient performance of the suggested power control scheme.
Keywords :
adaptive control; cellular radio; control system synthesis; hidden Markov models; identification; interference suppression; power control; quality of service; telecommunication control; HMM identification algorithm; QoS improvement; adaptive HMM estimation; adaptive power control design; cellular system design; fading channel pathless dynamics; hidden Markov model; multi-user interference reduction; transmit power control; uplink power control; Adaptive control; Base stations; Fading; Frequency conversion; Hidden Markov models; Interference; Multiaccess communication; Power control; Predictive models; Programmable control;
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2009.5399572