NDLI: Power allocation in UMTS under SNR constraints

Content Provider	IEEE Xplore Digital Library
Author	Campos-Delgado, D.U. Luna-Rivera, M.
Copyright Year	2011
Description	Author affiliation: Facultad de Ciencias, UASLP, Av. Salvador Nava s/n, Zona Universitaria, C.P. 78290, San Luis Potosí, México (Campos-Delgado, D.U.; Luna-Rivera, M.)
Abstract	In this work, the distributed power allocation problem in universal mobile telecommunication systems (UMTS) is studied under feedback signal-to-noise ratio (SNR) constraints. The sources of uncertainty are assumed to come from the quantization process and measurement noise in the closed-loop system. The power allocation problem is formulated as a reference tracking problem of a pre-defined signal to noise-interference ratio. First, the synthesis problem with SNR constraints is studied as a 2-norm minimization process, which is equivalent to an LQR optimization problem. The solution of the associated Riccati equation in the LQR formulation is completely characterized, resulting in a state-feedback law with a special redundant structure. This control law is re-written in a transfer function format, where it is obtained a simple control strategy which is dependant on the round-trip delay in the feedback system. In addition, the corresponding 2-norm closed-loop performance is also studied. Thus, the selection of the weight in the LQR problem establishes a compromise between robustness to quantization errors and noise, and tracking performance. Finally, the analytical results are validated through simulation by considering time-varying channel gains and quantization in the feedback information.
Starting Page	1
Ending Page	6
File Size	1182063
Page Count	6
File Format	PDF
ISBN	9781457710117
e-ISBN	9781457710131
DOI	10.1109/ICEEE.2011.6106614
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-26
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	LQR control SNR restriction Power control Interference Quality of service Quantization Resource management Noise measurement Delay Signal to noise ratio
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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