Our research group

PING conducts research on cutting-edge problems in the regulation of fibre-based open-access networks, dynamic spectrum access markets, and pricing and privacy of personal data.

The Pricing in Information Infrastructure and Next-Generation Communication Networks (PING) Research Group was established in 2004 to bundle research activities related to pricing, resource allocation mechanisms in information infrastructure and communications networks at the Business School's Department of Information Systems and Operations Management.

Our approach to network pricing and resource allocation

Economics and network engineering provide the foundations to cutting-edge theories and methodologies applicable to solve the challenges we currently face in multiple areas of information infrastructure and next-generation communication networks.

We study economic problems in information infrastructures and their support, information technologies and communications networks, in a market-oriented setting. We use modern ideas in economics that acknowledge and treat imbalances in access to information among parties for the purposes of resource allocation and pricing of information and data services.

We employ a multidisciplinary approach whereby mathematics and economic theory help substantiate the proposed solutions, which can be either supported by tractable mathematical models or implemented in simulated environments such as those provided by agent-based simulation.

Group objectives

Pricing in Information Infrastructure and Next-Generation Communication Networks (PING) connects a number of objectives, which guide our research activities.

PING aims to:

  • Study economic aspects of Information Infrastructures or “physical and cyber-based systems essential to the minimum operations of the economy and government, connected by information technologies” (as argued by Professor Christine Borgman)
  • Develop an analytical understanding of the evolution of Communications Networks and in particular recent trends towards high-speed, Fibre-to-the-home networks and 5G mobile networks.
  • Apply various research methods such as analytic modelling, simulation, case studies, and proof-of-concept implementations.
  • Foster a multi-disciplinary approach with expertise from Economics, Network Engineering, and Information Systems.
  • Promote results and work-in-progress to the research community and to the related industries.
  • Provide regular contributions to the research community by conference papers, articles, and other work-in-progress contributions.