Adaptive Control Plane Load Balancing in vSDN Enabled 5G Network

TL;DR

This paper proposes an adaptive load balancing approach for control plane in vSDN-enabled 5G networks, optimizing latency and resource distribution to enhance real-time user experience.

Contribution

It introduces a novel controller-hypervisor deployment strategy with an MILP model and RPFM to minimize latency and balance load in 5G network control planes.

Findings

Significant latency reduction demonstrated through experiments

Efficient handling of real-time user demands achieved

Applicable to various localization and deployment problems in 5G networks

Abstract

In this work, we have formulated a controllerhypervisor (C-H) pair deployment approach to provide various network functions (such as differentiation between control and data signals, different translation functions etc.) with low latency. The system model deals with a real network topology and four well defined network latency matrices with an MILP model has been well constructed to optimize latency objectives. Reverse Path-Flow Mechanism (RPFM) has been proposed in order to provide feasible solutions by keeping the network load and link capacity constrained under tolerance limit. We further minimize the H-plane load by distributing the network resources based on the arrival time of SERVICE IN requests from users. Through extensive experiment, the efficacy of the proposed system has been demonstrated in terms of significant latency reduction and an e-ULL (evolved-Ultra Low Latency) experience with efficient handling of all real-time user demands. The proposed approach can be used for similar localization problems like service chain mapping in 5G-NR, baseband unit deployment in 5G C-RAN, firewall deployment in distributed CPS.