TY - GEN
T1 - NeXT
T2 - 2022 IEEE Future Networks World Forum, FNWF 2022
AU - Hu, Jianzqi
AU - McManus, Maxwell
AU - Moorthy, Sabarish Krishna
AU - Cui, Yuqing
AU - Guan, Zhangyu
AU - Mastronarde, Nicholas
AU - Bentley, Elizabeth Serena
AU - Medley, Michael
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - To support rigorous and repeatable experimental evaluation of wireless networked systems, the community has made significant efforts to develop experimentation platforms. However, existing platforms primarily focus on the data plane, i.e., the forwarding infrastructure, without explicitly considering the control plane. To fill this gap, in this work we develop NeXT, a software-defined testbed with integrated wireless network simulation, experimentation and optimization capabilities. We first design the data plane, which integrates an event-driven broadband wireless network simulator called UBSim and a software-defined wireless network testing facility called RoboNet. We then design NeXT's control plane, where a software toolchain is developed and deployed to support both traditional model-based optimization and new data-driven control techniques. Finally, we validate the effectiveness of NeXT by considering a series of wireless network optimization and control problems.
AB - To support rigorous and repeatable experimental evaluation of wireless networked systems, the community has made significant efforts to develop experimentation platforms. However, existing platforms primarily focus on the data plane, i.e., the forwarding infrastructure, without explicitly considering the control plane. To fill this gap, in this work we develop NeXT, a software-defined testbed with integrated wireless network simulation, experimentation and optimization capabilities. We first design the data plane, which integrates an event-driven broadband wireless network simulator called UBSim and a software-defined wireless network testing facility called RoboNet. We then design NeXT's control plane, where a software toolchain is developed and deployed to support both traditional model-based optimization and new data-driven control techniques. Finally, we validate the effectiveness of NeXT by considering a series of wireless network optimization and control problems.
UR - https://www.scopus.com/pages/publications/85147404827
U2 - 10.1109/FNWF55208.2022.00087
DO - 10.1109/FNWF55208.2022.00087
M3 - Conference contribution
AN - SCOPUS:85147404827
T3 - Proceedings - 2022 IEEE Future Networks World Forum, FNWF 2022
SP - 456
EP - 461
BT - Proceedings - 2022 IEEE Future Networks World Forum, FNWF 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 October 2022 through 14 October 2022
ER -