Journal article
A city-wide experimental testbed for the next generation wireless networks
Ad hoc networks, Vol.111, 102305
02/01/2021
DOI: 10.1016/j.adhoc.2020.102305
Abstract
To facilitate research in dynamic spectrum access, 5G, vehicular networks, underground wireless communications, and radio frequency machine learning, a city-wide experimental testbed is developed to provide realistic radio environment, standardized experimental configurations, reusable datasets, and advanced computational resources. The testbed contains 5 cognitive radio sites, and covers 1.1 square miles across two campuses of the University of Nebraska-Lincoln and a public street in the city of Lincoln, Nebraska. Each site is equipped with a 4x4 MIMO software-defined radio transceiver with 20Gbps fronthaul connectivity. Additional cognitive radio transceivers with an underground 2x2 MIMO antenna are included in a site. High speed fronthaul network based on dedicated fiber connects the 5 sites to a cloud-based central unit for data processing and storage. The testbed provides researchers rich computational resources such as arrays of CPUs and GPUs at the cloud and FPGAs at both the edge and fronthaul network. Developed via the collaboration of the university, city, and industrial partners, this testbed will facilitate education and researches in academic and industrial communities.
Details
- Title: Subtitle
- A city-wide experimental testbed for the next generation wireless networks
- Creators
- Zhongyuan Zhao - University of Nebraska–LincolnMehmet C Vuran - University of Nebraska–LincolnBaofeng Zhou - University of Nebraska–LincolnMohammad M.R Lunar - University of Nebraska–LincolnZahra Aref - University of Nebraska–LincolnDavid P Young - Federal Communications CommissionWarren Humphrey - Olsson, Lincoln, NE 68508, USASteve Goddard - University of IowaGarhan Attebury - University of Nebraska–LincolnBlake France - University of Nebraska–Lincoln
- Resource Type
- Journal article
- Publication Details
- Ad hoc networks, Vol.111, 102305
- Publisher
- Elsevier B.V
- DOI
- 10.1016/j.adhoc.2020.102305
- ISSN
- 1570-8705
- eISSN
- 1570-8713
- Grant note
- DOI: 10.13039/100000001, name: National Science Foundation, USA, , award: CNS-1731833, CNS-1816938, CNS-1619285
- Language
- English
- Date published
- 02/01/2021
- Academic Unit
- Computer Science
- Record Identifier
- 9984259483002771
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