Economic and Market Design Challenges for Spectrum Zone Management Systems

Carlos E.Caicedo Bastidas*, Randall Berry, Igor Kadota, William Lehr

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Facilitating the market adoption of Dynamic Spectrum Access (DSA) mechanisms is a joint technical and economic challenge. In this poster, we discuss ongoing efforts to address fundamental economic questions associated with DSA. These efforts are linking core economic theory of market performance into a multi-tier contracting model to support spectrum sharing across heterogeneous networks. Specifically, we focus on three interrelated tasks. The first task is the design of spectrum sharing contracts based on the Spectrum Consumption Model (SCM) framework standardized in IEEE 1900.5.2. SCMs provide a way of characterizing the spectrum and interference protection needs of heterogeneous wireless systems. Second, we are specifying and evaluating the performance of different market structures for managing spectrum sharing contracts. Finally, we investigate the implications of these market designs on industry structure and communications policy.

Original languageEnglish (US)
Title of host publication2024 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages185-186
Number of pages2
ISBN (Electronic)9798350317640
DOIs
StatePublished - 2024
Event2024 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2024 - Washington, United States
Duration: May 13 2024May 16 2024

Publication series

Name2024 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2024

Conference

Conference2024 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2024
Country/TerritoryUnited States
CityWashington
Period5/13/245/16/24

Funding

This work was supported by NSF grants SES-2332054 and AST-2232456.

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Aerospace Engineering

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