Uplink Power Control via Adaptive Hidden-Markov-Model-Based Pathloss Estimation

Author

Huan Zhang ; Pathirana, Pubudu N.

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia

Volume

12

Issue

4

fYear

2013

fDate

Apr-13

Firstpage

657

Lastpage

665

Abstract

Dynamic 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.

Keywords

adaptive control; cellular radio; fading channels; hidden Markov models; interference suppression; power control; quality of service; telecommunication control; QoS; adaptive hidden-Markov-model-based path loss estimation; adaptive power control design; cellular radio systems; fading channel path loss dynamics; measured received power levels; multiuser interference reduction; online HMM identification algorithm; quality of service; transmission power control design; uplink power control scheme; Base stations; Fading; Hidden Markov models; Interference; Mobile communication; Power control; Signal to noise ratio; Adaptive power control; CDMA cellular networks; Hidden Markov Model; model identification;

fLanguage

English

Journal_Title

Mobile Computing, IEEE Transactions on

Publisher

ieee

ISSN

1536-1233

Type

jour

DOI

10.1109/TMC.2012.39

Filename

6148234