Sharing license-exempt spectrum based on multi-dimensional metrics

Abstract

2016),"How incumbents can shape technological choice and market structure -the case of fixed broadband in Europe", info, Vol. 18 Iss 2 pp. 1-16 http://dx.If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this paper is to investigate the possibility to replace radio equipment compliance requirements based on equipment parameters with a set of simple metrics that accurately reflects spectrum utilization and spectrum-sharing efficiency. Design/methodology/approach -The approach taken is to go back to the basic factors that determine radio system behavior in a shared spectrum environment: radio frequency power, duty cycle and frequency occupation. By normalizing these parameters, device specificity is avoided and a statistical perspective on spectrum utilization and sharing becomes possible. Findings -The analysis shows that two technology-neutral metrics would be adequate to govern spectrum utilization and sharing: a spectrum utilization metric and a spectrum-sharing efficiency metric. These metrics form the core of regulatory requirements for shared frequency bands. Each shared frequency band could be assigned criteria based on these metrics that take into account the types of applications for which that band will be used. Research limitations/implications -This work is a first step that identifies the main factors that affect shared spectrum usage from a statistical point of view. More work is needed on the relationship between real-world interference and its abstraction in the spectrum-sharing rules.Practical implications -The metrics proposed could be considered as the basis for a new approach to the regulation of the license-exempt spectrum, and, by extension, as the basis for generic compliance criteria. Their use would facilitate the compliance assessment of software-defined radio technology. Social implications -This work has no direct social implications. Originality/value -This paper combines new work on spectrum utilization criteria with extensions of previous work on spectrum-sharing efficiency into a comprehensive proposal for a new approach to the regulation of the license-exempt spectrum.

Technology agnostic regulatory criteria for licence-exempt spectrum

“…A second implication is that interference must be abstracted as well so that it can be taken into account in formulating new regulatory requirements that address efficient use of the available spectrum. Both of these implications are addressed in Kruys et al (2016) which proposes two such abstractions: multi-dimensional metrics for spectrum load and spectrum sharing efficiency that take into account a number of normalized – and therefore technology agnostic – parameters. These include RF power spectral density, median duty cycle, occupied frequency range and signal-to-interference ratio.…”

“…7. This form gives a more realistic result; in Kruys et al (2016), the occupied frequency factor was not used.…”

“…Instead of developing regulation and compliance criteria in a bottom-up approach based on applications and equipment considerations, the new approach develops technology independent regulations and compliance criteria based on high-level economic and technology considerations. The new approach combines the Block Edge Masks concept (CEPT, 2009; Forde and Doyle, 2010) to regulate inter-band sharing criteria with in-band spectrum utilization metrics (Kruys et al , 2016) that counter misuse and reward spectrum utilization efficiency. By carefully setting maximum and minimum limits for these metrics, efficient spectrum utilization is rewarded without restricting design freedom.…”