DocumentCode :
179613
Title :
Convex separable problems with linear and box constraints
Author :
D´Amico, Antonio A. ; Sanguinetti, Luca ; Palomar, Daniel P.
Author_Institution :
Dipt. di Ing. dell´Inf., Univ. of Pisa, Pisa, Italy
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
5641
Lastpage :
5645
Abstract :
In this work, we focus on separable convex optimization problems with linear and box constraints and compute the solution in closed-form as a function of some Lagrange multipliers that can be easily computed in a finite number of iterations. This allows us to bridge the gap between a wide family of power allocation problems of practical interest in signal processing and communications and their efficient implementation in practice.
Keywords :
convex programming; signal processing; Lagrange multiplier; box constraint; closed-form solution; convex separable problem; linear constraint; power allocation problem; separable convex optimization problem; signal processing; Convex functions; Equations; MIMO; Optimization; Quality of service; Signal processing; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6854683
Filename :
6854683
Link To Document :
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