Towards Real-Time Dynamic Spectrum Auctions
Source: University of California
In this paper, the authors propose a low-complexity auction framework to distribute spectrum in real-time among a large number of wireless users with dynamic traffic. Their design consists of a compact and highly-expressive bidding format, two pricing models to control tradeoffs between revenue and fairness, and fast auction clearing algorithms to achieve conflict-free spectrum allocations that maximize auction revenue. They develop analytical bounds on algorithm performance and complexity to verify the efficiency of the proposed approach. They also use both simulated and real deployment traces to evaluate the auction framework.