DocumentCode
688117
Title
SINR-constrained power minimization in MISO interference channel with imperfect CSI: A Bernstein Approximation approach
Author
Weiqiang Xu ; Xiaodong Wang ; Alshomrani, Saleh
Author_Institution
Sch. of Inf. Sci. & Technol., Zhejiang Sci-Tech Univ., Hangzhou, China
fYear
2013
fDate
9-13 Dec. 2013
Firstpage
4216
Lastpage
4220
Abstract
We consider SINR-constrained power minimization in MISO interference channel with imperfect channel state information (CSI). The problems is formulated as probability-constrained optimization problems. We make use of the Bernstein approximation to conservatively transform the probabilistic constraints into deterministic ones, and consequently convert the original stochastic optimization problems into convex optimization problems. Extensive simulation results are provided to demonstrate the effectiveness of the proposed method.
Keywords
approximation theory; convex programming; electromagnetic interference; probability; telecommunication channels; Bernstein approximation approach; MISO interference channel; SINR-constrained power minimization; convex optimization problems; imperfect CSI; imperfect channel state information; multiple-input single-output; probability-constrained optimization problems; stochastic optimization problems; Approximation methods; Interference channels; Optimization; Receivers; Robustness; Signal to noise ratio; Bernstein approximation; Multiple-input single-output (MISO); power control; probability-constrained optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2013 IEEE
Conference_Location
Atlanta, GA
Type
conf
DOI
10.1109/GLOCOM.2013.6831735
Filename
6831735
Link To Document