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

被引：6

作者：

Zhang, Huan ^{[1
]}

Pathirana, Pubudu N. ^{[2
]}

机构：

[1] Univ Melbourne, Dept Elect & Elect Engn, Melbourne, Vic 3010, Australia

[2] Deakin Univ, Sch Engn, Geelong, Vic 3217, Australia

来源：

IEEE TRANSACTIONS ON MOBILE COMPUTING | 2013年 / 12卷 / 04期

基金：

澳大利亚研究理事会;

关键词：

Adaptive power control; CDMA cellular networks; Hidden Markov Model; model identification; CELLULAR RADIO SYSTEMS; CONTROL ALGORITHM; WIRELESS NETWORKS; CDMA SYSTEMS; CONVERGENCE; PERFORMANCE; ERROR; GAME;

D O I：

10.1109/TMC.2012.39

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：657 / 665

页数：9

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