IEEE Communications Magazine has published a paper co-written by Syracuse University School of Information Studies (iSchool) Assistant Professor Carlos Caicedo and University of Pittsburgh Professor Martin B.H. Weiss, “The Viability of Spectrum Trading Markets.”

The growing interest from telecommunication service providers to offer wireless based services has sparked a growing demand for access to radio frequencies (the radio spectrum) in which to offer services. Spectrum trading is a market-based mechanism where wireless service providers act as buyers and sellers and determine the assignment of radio spectrum and its uses. That is, it can address both the allocation and assignment aspects of spectrum use. Assigning spectrum license through spectrum trading markets can be used as a way to grant access to a wireless service provider who will not only value the spectrum, but also use it efficiently.

The paper focuses on identifying the technical and economic conditions in which spectrum trading would be a viable. Caicedo and Weiss also make recommendations for the design of these markets including the number of market participants and the amount of radio spectrum that should be present.

IEEE Communications Magazine is one of the most cited journals in electrical and electronics engineering. The magazine, established in 1962, covers all areas of communications, such as lightwave telecommunications, high-speed data communications and personal communications systems.

Caicedo is the director of the Center for Convergence and Emerging Network Technologies (CCENT). He has a Ph.D. in Information Science from the University of Pittsburgh and holds M.Sc. degrees in Electrical Engineering from the University of Texas at Austin and from the Universidad de los Andes, Colombia. He has been a teaching fellow at the University of Pittsburgh as well as an instructor professor at the Universidad de los Andes in Colombia. His research interests are in the areas of new wireless markets and technologies and also in security for future data environments.