Understanding Dynamic Spectrum Access: Models,Taxonomy and Challenges

TLDR

Dynamic Spectrum Access has attracted growing interest since the 2002 FCC report, with terms such as SDR and CRN becoming common, yet the multidimensional nature of spectrum and static allocation create barriers that require a clear taxonomy to avoid confusion. This paper attempts to rectify the confusion by developing a clear taxonomy of DSA networks. The authors develop the taxonomy, describe various models, and identify the technology capabilities, architectural innovations, and policy changes needed.

Abstract

In last few years, especially after release of the FCC Spectrum Policy Task Force (SPTF)'s seminal report in 2002, we have witnessed growing interest in the field of Dynamic Spectrum Access (DSA) networks. Terms such as reconfigurable networks, Software Defined Radios (SDRs), Cognitive Radios and Cognitive Radio Networks (CRNs) have gained common use. Radio spectrum is a multidimensional entity; space, time, polarization, frequency, power of signal transmission and interference are some of the key dimensions. The static, command- and-control management of spectrum has led to barriers to accessing the spectrum in various dimensions. The notion of dynamic spectrum access can break these barriers in one or more of the dimensions. A review of published research in the technology, policy and legal facets of this broad area indicates that the community is addressing this problem from multitude of angles. In fact, we believe the situation is analogous to story of seven blind men attempting to describe an elephant based on what they perceive when they touch various parts of the elephant. As such, we contend that unless a clear taxonomy of various ways of dynamic access is developed, significant confusion can prevail within the community dealing with these new ways. This paper tries to rectify this situation. It aims to develop a clear taxonomy of various forms of DSA networks, describe in detail various models and identify required technology capabilities, architectural innovations and policy changes.