Low complexity resource allocation for OFDMA based on coalitional game theory

Authors:
Farshad Shams;Giacomo Bacci;Marco Luise
Affiliations:
IMT Institute for Advanced Studies, Piazza San Ponziano, Lucca, Italy;University of Pisa, Pisa, Italy;University of Pisa, Pisa, Italy
Venue:
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
Year:
2011

Citing 5
Cited 0

Wireless Communications

Wireless Communications
Assignment Problems

Assignment Problems
Low complexity margin adaptive resource allocation in downlink MIMO-OFDMA system

IEEE Transactions on Wireless Communications
Fading channels: information-theoretic and communications aspects

IEEE Transactions on Information Theory
Non-Cooperative Resource Competition Game by Virtual Referee in Multi-Cell OFDMA Networks

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

This work investigates a fair adaptive resource management criterion (in terms of transmit powers and subchannel assignment) for the uplink of an orthogonal frequency division multiple access (OFDMA) network, populated by mobile users with constraints in terms of target data rates. The inherent optimization problem is tackled with the analytical tools of coalitional game theory, and a practical algorithm based on Markov modeling is introduced. The proposed scheme allows the mobile devices to fulfill their rate demands exactly with a minimum utilization of network resources. Simulation results show that the average number of operations of the proposed iterative algorithm are much lower than K · N, where N and K are the number of allocated subcarriers and of mobile terminals.