Title :
Peak power limited channels: Analysis of capacity achieving probability measures
Author :
Zambianchi, Vincenzo ; Paolini, Enrico ; Dardari, Davide
Author_Institution :
Dept. of Electr., Electron. & Inf. Eng. “G. Marconi” (DEI), Univ. of Bologna, Cesena, Italy
Abstract :
This paper establishes sufficient conditions under which a memoryless channel with real, scalar and peak power limited input exhibits a capacity achieving input probability measure that is discrete with a finite number of probability mass points. A proof for the sufficiency of the proposed conditions is presented. Some examples are also illustrated as further evidence for the presented theory.
Keywords :
AWGN channels; channel capacity; probability; additive white Gaussian noise channel; capacity analysis; communication theory; memoryless channel; peak power limited channels; peak power limited input; probability mass points; probability measures; real limited input; scalar limited input; Additives; Capacity planning; Channel models; Convergence; Fading; Memoryless systems; Noise;
Conference_Titel :
Communications (ICC), 2014 IEEE International Conference on
Conference_Location :
Sydney, NSW
DOI :
10.1109/ICC.2014.6883614
