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A Low-Cost Open-Source Testbed for Experimental Analysis of Ultra-Dense Wireless Networks

  • Victoria Planchart
  • , Lenny Martinez
  • , Humza Ali
  • , Myles Toole
  • , Michael Rahaim
  • University of Massachusetts Boston

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

Abstract

Network densification has been a key contributor to the performance improvements of the wireless ecosystem, particularly in terms of aggregate capacity. In other words, adding more base stations (BSs) or access points (APs) allows for spatial reuse of RF resources. In expectation of a continued increase in network density, we present a low-cost and open-source testbed design for experimental evaluation of network performance in ultra-dense wireless networks (UDNs). The testbed architecture emulates network conditions by generating wireless traffic on distributed Raspberry Pi microprocessors. We have run sample experiments to demonstrate performance impact of a variable number of active devices, device transmit power, and environmental channel effects. The testbed software and setup description are also openly available to the research community in our GitHub repository.

Original languageEnglish
Title of host publicationMSWiM 2023 - Proceedings of the International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
PublisherAssociation for Computing Machinery, Inc
Pages93-97
Number of pages5
ISBN (Electronic)9798400703669
DOIs
StatePublished - Oct 30 2023
Event26th ACM International Conference on Modelling, Analysis, and Simulation of Wireless and Mobile Systems, MSWiM 2023 - Montreal, Canada
Duration: Oct 30 2023Nov 3 2023

Publication series

NameMSWiM 2023 - Proceedings of the International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

Conference

Conference26th ACM International Conference on Modelling, Analysis, and Simulation of Wireless and Mobile Systems, MSWiM 2023
Country/TerritoryCanada
CityMontreal
Period10/30/2311/3/23

ASJC Scopus Subject Areas

  • Automotive Engineering
  • Artificial Intelligence
  • Computer Networks and Communications

Keywords

  • performance analysis
  • testbed
  • wireless networks

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