Auction-Based Resource Management in Multi-Cell OFDMA Networks

Abstract

This chapter addresses the complex scenario of multi cell OFDMA network resource allocation and interference control by auction theory. An auction framework that meets the properties of efficiency and incentive compatibility is proposed. We consider a multi-cell OFDMA network with Fractional Frequency Reuse (FFR) implementation. An auction is presented to allocate subcarriers. According to the proposed auction framework, users will avoid bidding for the subcarriers where they have a relatively low chance of winning. Optimal bidding strategy based on Bayesian Nash Equilibrium (BNE) is obtained in which users are maximizing their net profit. A focal distance which classifies the users into cell-center and cell-edge users is characterized. The proposed approach maximizes the total auctioneer revenue, while balancing a tradeoff between system performance in terms of total system throughput and quality of service provisioning for cell-edge users.