Network Pricing with Uncertainty: Risk Aversion and Incomplete Information

Associate Professor Richard La (ECE/ISR) received an NSF Theoretical Foundations grant for "Network pricing with uncertainty: risk aversion and incomplete information." The three-year, $300K grant will begin to identify suitable frameworks for designing efficient and fair network pricing mechanisms. The research will take the first step towards identifying suitable frameworks for designing efficient and fair network pricing mechanisms. It will help service providers identify more suitable pricing schemes that will encourage the deployment of new services through fair profit sharing and improved efficiency. This will promote collaboration among selfish service providers and bring more network services and lower prices to the consumers, while increasing the overall social benefits/welfare.