Computer Science – Information Theory
Scientific paper
2008-07-19
Computer Science
Information Theory
Proceedings of the 16th European Signal Processing Conference, Lausanne, Switzerland, August 25-29, 2008
Scientific paper
This paper focuses on the cross-layer issue of resource allocation for energy efficiency in the uplink of a multiuser MIMO wireless communication system. Assuming that all of the transmitters and the uplink receiver are equipped with multiple antennas, the situation considered is that in which each terminal is allowed to vary its transmit power, beamforming vector, and uplink receiver in order to maximize its own utility, which is defined as the ratio of data throughput to transmit power; the case in which non-linear interference cancellation is used at the receiver is also investigated. Applying a game-theoretic formulation, several non-cooperative games for utility maximization are thus formulated, and their performance is compared in terms of achieved average utility, achieved average SINR and average transmit power at the Nash equilibrium. Numerical results show that the use of the proposed cross-layer resource allocation policies brings remarkable advantages to the network performance.
Buzzi Stefano
Poor Harold Vincent
Saturnino Daniela
No associations
LandOfFree
Energy-Efficient Resource Allocation in Multiuser MIMO Systems: A Game-Theoretic Framework does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Energy-Efficient Resource Allocation in Multiuser MIMO Systems: A Game-Theoretic Framework, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Energy-Efficient Resource Allocation in Multiuser MIMO Systems: A Game-Theoretic Framework will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-390734