TY - GEN
T1 - Delay-aware Slicing and MAC Management using MCDA in IEEE 802.11 SD-RANs
AU - Isolani, Pedro H.
AU - Kulenkamp, Daniel J.
AU - Marquez-Barja, Johann M.
AU - Granville, Lisandro Z.
AU - Latre, Steven
AU - Syrotiuk, Violet R.
N1 - Funding Information:
This research received partial funding from The European Union’s Horizon 2020 Research and innovation program, under grant agreement No. 826284 (ProTego), from The U.S. National Science Foundation NeTS Award 1813451, and was also supported by the FLEXNET project: “Flexible IoT Networks for Value Creators” (Celtic 2016/3), in the Eureka Celtic-Next Cluster.
Funding Information:
This research received partial funding from The European Union's Horizon 2020 Research and innovation program, under grant agreement No. 826284.
Publisher Copyright:
© 2021 IFIP.
PY - 2021/5/17
Y1 - 2021/5/17
N2 - Advanced wireless services and applications are demanding lower latency and better reliability. In IEEE 802.11 networks, slicing abstractions at the Medium Access Control (MAC) layer can provide precise resource allocation and traffic isolation as a means to meet these performance requirements. In this paper, we propose a delay-aware approach for MAC management via airtime-based network slicing and user association using Multi-Criteria Decision Analysis (MCDA) in IEEE 802.11 Software-Defined Radio Access Networks (SD-RANs). To enable such an approach, we leverage Software-Defined Networking (SDN) to monitor queueing delay statistics at the Access Points (APs). We evaluate our approach in a testbed with two APs, controlled by SD-RAN and SDN controllers with four Stations (STAs) served by both Quality of Service (QoS) and Best-Effort (BE) flows dynamically. We compare our approach to a state-of-the-art user association approach. Our results show that in addition to load balancing flows across APs, our approach enhances the QoS delivery at runtime using slicing.
AB - Advanced wireless services and applications are demanding lower latency and better reliability. In IEEE 802.11 networks, slicing abstractions at the Medium Access Control (MAC) layer can provide precise resource allocation and traffic isolation as a means to meet these performance requirements. In this paper, we propose a delay-aware approach for MAC management via airtime-based network slicing and user association using Multi-Criteria Decision Analysis (MCDA) in IEEE 802.11 Software-Defined Radio Access Networks (SD-RANs). To enable such an approach, we leverage Software-Defined Networking (SDN) to monitor queueing delay statistics at the Access Points (APs). We evaluate our approach in a testbed with two APs, controlled by SD-RAN and SDN controllers with four Stations (STAs) served by both Quality of Service (QoS) and Best-Effort (BE) flows dynamically. We compare our approach to a state-of-the-art user association approach. Our results show that in addition to load balancing flows across APs, our approach enhances the QoS delivery at runtime using slicing.
KW - IEEE 802.11 networks
KW - MAC management
KW - MCDA
KW - network slicing
KW - SD-RAN
KW - SDN
KW - user association
UR - http://www.scopus.com/inward/record.url?scp=85113615130&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:85113615130
T3 - Proceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management
SP - 331
EP - 339
BT - Proceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management
A2 - Ahmed, Toufik
A2 - Festor, Olivier
A2 - Ghamri-Doudane, Yacine
A2 - Kang, Joon-Myung
A2 - Schaeffer-Filho, Alberto E.
A2 - Lahmadi, Abdelkader
A2 - Madeira, Edmundo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IFIP/IEEE International Symposium on Integrated Network Management, IM 2021
Y2 - 17 May 2021 through 21 May 2021
ER -