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AbstractThe exploitation of radio-electric spectrum bands for wireless transmission purposes has some features of the commons: it is subject to congestion and conflict without rules governing its use. The Coasean approach is to assign private property rights to overcome the tragedy of the spectrum commons. The process of assigning these rights is still centralized, with governments assigning property rights through agencies such as the Federal Communications Commission and National Telecommunications and Information Administration in the USA. We consider the possibility of self-governance of the spectrum. We use insights from the study of common pool resources governance to analyze the emergence of property rights to spectrum in a 'government-less' environment in which norms, rules, and enforcement mechanisms are solely the product of the repeated interactions among participants in the network. Our case study considers the spectrum-sharing arrangement in the 1,695–1,710 MHz band. Using agent-based modeling (ABM), we show that self-governance of the spectrum can work and under what conditions it is likely to improve the efficiency of the allocation of property rights.

AbstractDynamic spectrum access (DSA) systems, commonly known as spectrum sharing, are considered one of the most promising paths for more efficient spectrum allocation. When talking about DSA, the most discussed topics revolve around particular technologies such as cognitive radios or particular solutions such as the advanced wireless services-3 initiative. However, in this work, we explore a less discussed approach for spectrum sharing: the Federal Communications Commission (FCC)'s experimental radio service (ERS). The ERS grants licenses for experimentation, market trials, and product development in Federal and/or non-Federal bands. Frequencies in these licenses are assigned on a shared basis and not for the exclusive use of any one licensee. Using FCC's scraped information in the period between 2007 and 2016, we were able to gain a deeper understanding of the ERS. We find that the processing time (i.e., time to get a license) has been reduced from 100 days to an average of 23 days in 2016. Moreover, the assignation process of experimental licenses is characterized great flexibility in terms of the authorized technical and nontechnical characteristics. We also explored what is behind these 10 years of information.