Loading...

Joint Functional Split and Resource Allocation Optimization in Elastic Optical Fronthaul

Samimi Vajd, Faezeh | 2021

200 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 54507 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Pakravan, Mohammad Reza; Hadi, Mohammad
  7. Abstract:
  8. Dynamic reconfigurability in optical and mobile networks can facilitate heterogeneous service provisioning while utilizing minimal resources. This allows cost-efficient service delivery resulting in increased revenues for network operators. Deployment of elastic mobile and optical networks is a key driver for enabling reconfigurability in modern networks. Elastic optical networks can be utilized as the fronthaul portion of new generation of mobile networks. Such elastic optical fronthaul networks facilitate joint reconfiguration of flexible radio and optical elements and provide considerable performance improvements. This thesis focuses on the joint dynamic selection of functional splits and configuration of optical transponders and illustrates that designing a converged solution for joint adaptation of optical and NodeB elements improves network power efficiency. A time-averaged stochastic optimization problem is formulated that aims to minimize total power consumption, including the power consumed by baseband functions and transponders, while satisfying physical limitations. The solution is derived using a modified version of the Lyapunov drift technique. Simulation results demonstrate that the proposed scheme can reduce the average power consumption by 50%-70% compared to a cloud radio access network with a traditional optical fronthaul. Further, the results show that the modified Lyapunov technique can support stringent fronthaul delays below 250μs. We also discuss how future technology upgrades such as more radio antenna ports and finer-grained fiber spectrum grid may influence the results. We demonstrated that a flexible adaptation of the functional split to the upgraded network elements brings up to 10% more power efficiency compared to a counterpart scheme, whose functional split is fixed
  9. Keywords:
  10. Elastic Optical Networks (EON) ; Stochastic Optimization ; Resources Allocation ; Fronthaul Capacity ; Functional Split ; Dynamic Reconfiguration

 Digital Object List

 Bookmark

No TOC