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Support for 5G Mission-Critical Applications in Software-Defined IEEE 802.11 Networks.

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This study introduces a delay-aware approach for IEEE 802.11 networks, using network slicing and traffic shaping to meet mission-critical application (MCA) quality of service (QoS) demands. The method ensures reliable, low-latency indoor wireless performance, crucial for 5G co-existing environments.

Keywords:
IEEE 802.11 networksMAC managementMCDASD-RANSDNairtime-based network slicingtraffic shapinguser association

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Area of Science:

  • Wireless networking
  • Network management
  • Quality of Service (QoS)

Background:

  • 5G networks and mission-critical applications (MCAs) demand higher Quality of Service (QoS) from co-existing IEEE 802.11 networks.
  • Traditional IEEE 802.11 networks exhibit insufficient reliability and non-deterministic latency, hindering MCA performance.
  • Software-Defined Networking (SDN) and Software-Defined Radio Access Network (SD-RAN) offer potential for enhanced network control.

Purpose of the Study:

  • To propose a novel delay-aware approach for Medium Access Control (MAC) management in IEEE 802.11 networks.
  • To dynamically control network resources through airtime-based network slicing, traffic shaping, and user association.
  • To meet the stringent Quality of Service (QoS) requirements of mission-critical applications (MCAs) in 5G co-existing environments.

Main Methods:

  • Implemented a delay-aware MAC management approach using airtime-based network slicing and traffic shaping.
  • Utilized Software-Defined Networking (SDN) for network slicing and Software-Defined Radio Access Network (SD-RAN) for seamless handovers.
  • Incorporated Multi-Criteria Decision Analysis (MCDA) for user association and monitored queueing delay at Access Points (APs) for centralized management.

Main Results:

  • The proposed approach effectively balances loads across APs and avoids the ping-pong effect, enhancing runtime QoS delivery.
  • Queueing delay was maintained below 5 ms under varying traffic demands, approaching MCA requirements.
  • Demonstrated improved reliability and reduced latency in IEEE 802.11 networks through dynamic resource control.

Conclusions:

  • The delay-aware, airtime-based network slicing and traffic shaping approach significantly enhances IEEE 802.11 network performance for MCAs.
  • SDN and SD-RAN integration enables effective centralized management and dynamic resource allocation, crucial for meeting QoS demands.
  • This research provides a viable solution for improving indoor wireless network reliability and latency, supporting the integration of 5G and MCAs.