Integrated Agent-Based Model for Broadband Resource Allocation Analysis

Abstract

This paper introduces an integration strategy between ns3, a network simulator, and NetLogo, an agent-based model (ABM), to help answer policy level broadband allocation questions. Economic development is maximized by accurately modeling the communications system and human behavior together. The digital divide is well recognized as a root cause of economic inequality and a global problem in both rural and urban communities. Within the United States, federal and state efforts have funded investments in broadband infrastructure. However, available funds are limited or provided as 50-100% loans and eligibility issues limit participation. Consequently, infrastructure planners are in need of new tools to strategically allocate available funds. While ABM is a popular policy analysis tool, other rural broadband analyses have not accurately incorporated network limitations. By integrating ns3 and NetLogo, we improve the validity of policy experiments by accurately representing both technical and human components of the system.

Meeting Name

IEEE 91st Vehicular Technology Conference, VTC2020-Spring (2020: May 25-28, Antwerp, Belgium)

Department(s)

Engineering Management and Systems Engineering

Research Center/Lab(s)

Center for Research in Energy and Environment (CREE)

Keywords and Phrases

5G Communication Systems; Agent-Based Modeling; Broadband; Modeling; NetLogo; Ns3; Policy Analysis

International Standard Book Number (ISBN)

978-172815207-3

International Standard Serial Number (ISSN)

1550-2252

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2020 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

28 May 2020

Link to Full Text

Share

 
COinS