Abstract

An efficient resource management strategy can save network resources and improve network quality of service (QoS). In order to solve the problem of resource management difficulties of multiple SPs sharing the same backhaul network and QoS mismatch in heterogeneous networks, a downstream resource management in 5G virtualized backhaul network is proposed in this paper. Firstly, the wavelength assignment problem is described as a mathematics model with the consideration of minimizing turning overhead and load balancing. The quantum-behaved particle swarm optimization algorithm is used to solve the mathematics model. Secondly, the 5G traffic is mapping to different priority queues in TWDM-PON by the proposed QoS mapping algorithm. Finally, the downstream traffic is scheduled by the proposed resource scheduling algorithm. Numerical results show that the proposed mechanism can maintain high resource utilization, reduce wavelength tuning overhead and improve the delay of traffic.

Highlights

  • With the emergence of various mobile multimedia services such as augmented reality (AR), and virtual reality (VR), ultrahigh-definition video, the service demand is growing rapidly in mobile wireless networks [1]–[3]

  • In [27], TWDM-PON is employed as the backhaul network, and the virtual base station optimization problem is solved by minimizing the total energy consumption in cloud-radio access networks (C-RANs)

  • The wavelength capacity in TWDM-PON is set to 10 Gbit/s. there are 8 wavelengths and 16 optical network unit (ONU) in TWDM-PON

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Summary

INTRODUCTION

With the emergence of various mobile multimedia services such as augmented reality (AR), and virtual reality (VR), ultrahigh-definition video, the service demand is growing rapidly in mobile wireless networks [1]–[3]. The H-CRANs decouples control and user planes, and transfers control and broadcast signaling from RRHs to macro base stations (MBSs), which reducing the capacity and time delay constraints on the fronthaul links. H. Zhang et al.: QoS-Aware Virtualization Resource Management Mechanism in 5G Backhaul Heterogeneous Networks network, and the backhaul has extremely high requirements in terms of capacity, delay, availability, energy, and cost efficiency. Network operators typically provide fixed network resources for each service provider (SP) to provide services to users in TWDM-PON based H-CRAN backhaul network. How to properly manage virtual resources and optimize network performance in TWDM-PON based H-CRAN backhaul network has become the focus of the researchers. To address the above problems, combining with NV, TWDM-PON based H-CRAN virtualized backhaul network is introduced in this paper. A new architecture called TWDM-PON based H-CRAN virtualized backhaul network is proposed in this paper.

RELATED WORKS
WAVELENGTH ALLOCATION ALGORITHM BASED ON LOAD BALANCING
DOWNSTREAM V-HCRAN VIRTUALIZED RESOURCE SCHEDULING ALGORITHM
NUMERICAL RESULTS
CONCLUSION
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