Uplink power control via adaptive Hidden-Markov-Model-Based pathloss estimation

Zhang, Huan and Pathirana, Pubudu N. 2013, Uplink power control via adaptive Hidden-Markov-Model-Based pathloss estimation, IEEE transactions on mobile computing, vol. 12, no. 4, pp. 657-665.

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Title Uplink power control via adaptive Hidden-Markov-Model-Based pathloss estimation
Author(s) Zhang, Huan
Pathirana, Pubudu N.
Journal name IEEE transactions on mobile computing
Volume number 12
Issue number 4
Start page 657
End page 665
Total pages 9
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2013
ISSN 1536-1233
1558-0660
Keyword(s) adaptive power control
CDMA cellular networks
Hidden Markov Model
model identification
Summary 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.
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30055391

Document type: Journal Article
Collection: School of Engineering
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Created: Tue, 27 Aug 2013, 12:12:05 EST

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