An Auction-Based Time Scheduling Mechanism for Backscatter-Aided RF-Powered Cognitive Radio Networks

Abstract

In this paper, we study the time scheduling strategy for backscatter-aided radio-frequency-powered cognitive radio networks, where multiple secondary transmitters transmit data to the same secondary gateway. With more secondary transmitters connected to the networks, the time resource is becoming more congested, and the case that the total transmission demand of secondary transmitters exceeds the transmission capacity of the secondary networks may frequently occur. In this case, the secondary transmitters which can bring more social welfare to the networks should be permitted to transmit data with a high priority. Therefore, we propose an auction-based time scheduling mechanism in this paper. Specifically, we first present an auction model, where the secondary gateway acts as the seller as well as the auctioneer, and the secondary transmitters act as the buyers to bid for the time resource. We next design the strategies of the bid submission, the winner determination and time scheduling, and the price calculation for the time resource auction. Furthermore, the economic properties and the computational efficiency of the proposed mechanism are analysed. Numerical simulations are conducted to examine the performance of our proposed mechanism as well as to evaluate the impact of the valuation on the probability of winning.