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