Simulation and Performance Analysis of Wireless VPNs over SDN-Based mmWave Communication Backhaul Networks

Authors

  • Amritharaju V Associate Professor, Department of Aerospace Engineering, Faculty of Engineering and Technology, JAIN (Deemed-to-be University), Bangalore, Karnataka, India https://orcid.org/0000-0002-3434-3955
  • Faraz Ahmad School of Engineering & Computing, Dev Bhoomi Uttarakhand,India https://orcid.org/0000-0003-0934-8583
  • Lokesh Verma Centre of Research Impact and Outcome, Chitkara University, Rajpura- 140417, Punjab, India https://orcid.org/0009-0009-3032-3947
  • Pushpalatha T. Assistant Professor, Department of Computer Applications (DCA), Presidency College, Bengaluru, Karnataka India.
  • Ebenezar Jebarani M R Professor, Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai, India https://orcid.org/0000-0001-5327-664X
  • Bhagyalaxmi Behera Associate Professor, Department of Electronics and Communication Engineering, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India https://orcid.org/0000-0003-3715-2860

DOI:

https://doi.org/10.31838/NJAP/08.01.06

Keywords:

Software-Defined Networking (SDN), Millimeter-Wave (mmWave) Backhaul, Wireless Virtual Private Network (VPN), Secure and Scalable 5G/6G Networks, QoS-Aware Dynamic Routing, SDN-Based Mobility Management

Abstract

The accelerating popularity of data-intensive services like high-definition video streaming, cloud-based real-time gaming and mission-critical Internet of Things applications have heightened the pressure on wireless networks that need to sustain both blazing high data rates and the highest-level security. The present study in turn addresses the integration between Software Defined Networking (SDN) and millimeter-wave (mmWave) communication technologies to integrate Wireless Virtual Private Networks (VPNs) powered by scalable and secure services over dynamic backhaul. In particular we report on a fully simulated model that models wireless VPN application over 60 GHz mmWave wireless links, mediated via an SDN-based control plane. The architecture utilizes open hardware based on programmable OpenFlow switch controllers to execute security policies based on flows, dynamically route VPN paths, and adjust to rerouting and the failure of links and topological changes. In order to test the performance of the proposed system, massive NS-3 and Mininet-WiFi simulations were performed and combined with SDN-based logic and IPsec VPN encapsulation. These simulations model a heterogeneous mobility and fixed client of the urban network and assesses them in the performance under different conditions of node density, mobility, and traffic pattern. Selected Key Quality of Experience (QoE) and Quality of Service (QoS) metrics (e.g. end-to-end throughput, average latency, jitter, packet loss rate and VPN reconfiguration delay) were compared with static and dynamic scenarios. Findings indicate that SDN-based mmWave backhaul can improve network responsiveness and resource utilization to a significant level by using real-time path rerouting and tunnel recovery with an insignificant control burden. In addition, the system is able to sustain secure and low-latency VPN connections under conditions of high mobility or mmWave signal blackouts, which points to the ability of the system to RF-sensitive VPN routing as well as future antenna-assisted SDN designs in next-generation urban deployments in 5G / 6G. This paper establishes a background platform, upon which highly reliable and secure wireless backhaul networks to provide the challenging needs of the future smart cities and enterprise wireless VPN services exist.

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Published

2025-12-18

Issue

Vol. 8 No. 1 (2026): NJAP : Current Issue

Section

Articles

How to Cite

Amritharaju V, Faraz Ahmad, Lokesh Verma, Pushpalatha T., Ebenezar Jebarani M R, & Bhagyalaxmi Behera. (2025). Simulation and Performance Analysis of Wireless VPNs over SDN-Based mmWave Communication Backhaul Networks. National Journal of Antennas and Propagation, 8(1), 60-71. https://doi.org/10.31838/NJAP/08.01.06

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