Dynamic Joint Functional Split and Resource Allocation Optimization in Elastic Optical Fronthaul
Journal article, 2022

Dynamic reconfigurability in optical and mobile networks can facilitate heterogeneous service provisioning while utilizing minimal resources. This allows cost-efficient service delivery resulting in high 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 exploited 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. In this paper, we focus on the joint dynamic selection of functional splits and configuration of optical transponders and illustrate that designing a converged network with optical and radio elements improves network power efficiency. A time-averaged stochastic optimization problem is formulated and its 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 up to 70% compared to a cloud radio access network with a traditional optical fronthaul. Further, the results show that the modified Lyapunov technique can afford stringent fronthaul delays below 250 μs. We also discuss how future technology upgrades such as increasing the number of radio antenna ports and decreasing the granularity of fiber spectrum grid may influence the results.

stochastic optimization.


Resource management


functional split

Computer architecture


Optical network units

textupElastic optical network


resource allocation

fronthaul network


Faezeh Samimi Vajd

Sharif University of Technology

Mohammad Hadi

Sharif University of Technology

Chayan Bhar

National Institute of Technology Warangal

Mohammad Reza Pakravan

Sharif University of Technology

Erik Agrell

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

IEEE Transactions on Network and Service Management

19324537 (eISSN)

Vol. In Press

Subject Categories

Computer Engineering


Communication Systems



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