6533b833fe1ef96bd129b920

RESEARCH PRODUCT

Combinatorial Double Auction Radio Resource Allocation Model in Crowd Networks

subject

description

International audience; Industrial Partners (IPs) with Mobile Network Operators (MNOs) are extending the mobile network infrastructure with Small Cells (SCs) in order to meet the growing mobile traffic demand. Due to the increasing number of telecommunication market competitors and the scarcity of radio resources, static sharing schemes are no more efficient. New dynamic schemes should be considered to meet both user expectations and economic success. In a crowd networking context, we propose in this work a dynamic radio resource scheme based on combinatorial double auctions. The participants in these auctions are the MNOs considered as buyers and the IPs, providers of SCs, considered as sellers. The commodity is a bundle of radio resources geographically distributed in several sites. This market place is regulated by an auctioneer responsible of pricing process and market clearing. The auctions are launched periodically to increase the elasticity. Theoretical analysis shows that this model satisfies the most important properties of auctions namely, strong balanced budget, individual rationality, incentive compatibility and economic efficiency. The proposed auction model is also simulated to evaluate the social welfare, the utilization percentage of the supplied resources and the service rate of the buyers demand. Results show that this model ensures a positive utility values for both sides with a service rate that exceeds 50\% and an utilization rate that reaches 50\% for some IPs.