Title :
OPRA Capacity Bounds for Selection Diversity over Generalized Fading Channels
Author :
Hanif, Muhammad ; Hong-Chuan Yang ; Alouini, Mohamed-Slim
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Victoria (UVic), Victoria, BC, Canada
Abstract :
Channel side information at the transmitter can increase the average capacity by enabling optimal power and rate adaptation. The resulting optimal power and rate adaptation (OPRA) capacity rarely has a closed-form analytic expression. In this paper, lower and upper bounds on OPRA capacity for selection diversity scheme are presented. These bounds hold for variety of fading channels including log-normal and generalized Gamma distributed models and have very simple analytic expressions for easy evaluation even for kth best path selection. Some selected numerical results show that the newly proposed bounds closely approximate the actual OPRA capacity.
Keywords :
diversity reception; fading channels; gamma distribution; log normal distribution; OPRA capacity bounds; channel side information; generalized Gamma distributed models; generalized fading channels; kth best path selection; log-normal distributed models; selection diversity scheme; Diversity reception; Random variables; Rayleigh channels; Receivers; Signal to noise ratio; Wireless communication; Jensen's inequality; OPRA capacity; convexity; generalized Gamma distribution; log-normal distribution; order statistics;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2014.031514.140323