Title
Power control of cellular radio systems via robust Smith prediction filter
Abstract
In this paper, a robust Smith prediction filter is proposed for power control design of direct-sequence code-division multiple-access cellular mobile radio systems. Due to the type-I (integrator) structure in the close loop, we first show that zero steady-state tracking error of the averaged received signal-to-noise plus interference ratio (SINR) with respect to a constant target SINR can be ensured. Next, with the Smith predictor to compensate round trip delay, a fixed-order robust H∞ loop filter is developed by using the genetic algorithm to minimize the worst-case variance of the received SINR from the minimax perspective. Using the proposed robust control approach, the statistics of the fading and interference are not needed in the design procedure. To confirm the performance of the proposed method, several simulation results are given in comparison with other methods.
Year
DOI
Venue
2004
10.1109/TWC.2004.834705
Wireless Communications, IEEE Transactions
Keywords
DocType
Volume
design procedure,power control design,interference statistics,robust smith prediction filter,zero steady-state tracking error,time delay compensation,direct sequence code division multiple access,power control,radiofrequency interference,fading statistics,cellular radio,h∞ control,sinr,minimax perspective,robust control,close loop,fixed-order robust h,cellular radio systems,proposed robust control approach,cellular radio system,spread spectrum communication,loop filter,fading,interference ratio,minimax techniques,smith predictor,genetic algorithm,code division multiple access,robust power control,genetic algorithms,$h_infty$ filter,prediction theory,filtering theory,signal-to-noise pulse interference ratio,telecommunication control,ga,round trip delay,fixed-order robust h∞ loop filter,steady state
Journal
3
Issue
ISSN
Citations 
5
1536-1276
20
PageRank 
References 
Authors
1.36
12
3
Name
Order
Citations
PageRank
Bore-Kuen Lee18711.30
Huo-Wen Chen2201.36
Bor-Sen Chen32640228.84