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
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;
Conference_Titel :
Global Communications Conference (GLOBECOM), 2013 IEEE
Conference_Location :
Atlanta, GA
DOI :
10.1109/GLOCOM.2013.6831735