Noncooperative Power Control in Parallel Gaussian Interference Channels

Description

How to divide the available radio resources among competing users is an important issue for wireless networks, thus the study of how to optimize the performance of a multi-user multi-carrier system follows naturally. A multi-user adhoc network based on multi-carrier transmission can be modelled by a parallel Gaussian interference channel. In this project, the power allocation problem for this channel is studied. Two power control algorithms are proposed which make use of the idea of opportunistic communications. The basic idea is to let a user allocate more power to those subchannels that have large channel gains. The aim is to design practical distributed algorithms that are stable, easy to implement and efficient in maximizing the sum of user data rates. To achieve this goal, both analytical and simulation methods will be employed. The project is most relevant to the current needs of modern societies, which require ubiquitous communications for both personal and business purposes.