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

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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.