Title :
Noisebergs in Z Gaussian interference channels
Author_Institution :
Sch. of Electr. & Comput. Eng., Univ. of Campinas-Unicamp, Campinas, Brazil
Abstract :
We propose an efficient scheme to transmit information over a Z Gaussian interference channel. The scheme uses the concept of water filling to provide optimal power sharing among orthogonal dimensions. The model under investigation is an one-sided Gaussian interference channel with interference parameter a in the range (0,1), which can be recast as a degraded Gaussian interference channel. In the proposed solution, the notion of noisebergs (noise icebergs) arises, where noise power floats above signal power in a water filling representation of the problem, providing an improved allocation of power and degrees of freedom. The solution is best characterized by a graphical representation in the frequency domain.
Keywords :
Gaussian channels; interference (signal); Z Gaussian interference channel; frequency domain; graphical representation; noise icebergs; noisebergs; optimal power sharing; water filling representation; Bandwidth; Interference channels; Noise; Receivers; Resource management; Transmitters; Gaussian Interference Channels; Water Filling; Z Interference Channels;
Conference_Titel :
Information Theory and Applications Workshop (ITA), 2011
Conference_Location :
La Jolla, CA
Print_ISBN :
978-1-4577-0360-7
Electronic_ISBN :
978-1-4577-0361-4
DOI :
10.1109/ITA.2011.5743565