HySIM: A Hybrid Spectrum and Information Market for TV White Space Networks

TL;DR

This paper introduces a hybrid spectrum and information market for TV white space networks, leveraging a three-layer hierarchical model to analyze interactions among stakeholders and improve network profit.

Contribution

It presents a novel hybrid market model combining spectrum and information markets with a comprehensive three-layer analysis of stakeholder interactions.

Findings

Hybrid market increases network profit by up to 87%.

Profit is within 4% of the coordinated benchmark.

Network externalities significantly influence equilibrium behaviors.

Abstract

We propose a hybrid spectrum and information market for a database-assisted TV white space network, where the geo-location database serves as both a spectrum market platform and an information market platform. We study the inter- actions among the database operator, the spectrum licensee, and unlicensed users systematically, using a three-layer hierarchical model. In Layer I, the database and the licensee negotiate the commission fee that the licensee pays for using the spectrum market platform. In Layer II, the database and the licensee compete for selling information or channels to unlicensed users. In Layer III, unlicensed users determine whether they should buy the exclusive usage right of licensed channels from the licensee, or the information regarding unlicensed channels from the database. Analyzing such a three-layer model is challenging due to the co-existence of both positive and negative network externalities in the information market. We characterize how the network externalities affect the equilibrium behaviours of all parties involved. Our numerical results show that the proposed hybrid market can improve the network profit up to 87%, compared with a pure information market. Meanwhile, the achieved network profit is very close to the coordinated benchmark solution (the gap is less than 4% in our simulation).