Enhancements on a Robust Heuristic for 5G scenarios

Description

A dense deployment of small cells is one of the key characteristics envisioned for future 5G mobile networks in order to provide the required capacity increase where needed. In this context, it becomes very important to develop strategies to turn on and off the small cells according to the users’ needs, so to reduce costs and CO2 emissions. A fast robust heuristic has been recently developed in Optaplanner that considers a snapshot of the 5G network and provides a jointly optimized solution for the association of mobile users and the routing in the backhaul mesh.

This work focuses on improving the previous heuristic according to the robust counterpart system model that has been recently proposed, in order to provide the benchmark against which the heuristic solution can be compared. The second objective of this work is to analyse their performance in several scenarios in order to assess their validity and to estimate the trade-off between the solution obtained and the true optimum.

Period

Start date: --
End date: --
Status: Open

Funding

No funding is provided for this project.

Participants

Supervisor: Enrica Zola (GRXCA)

Student: To be assigned.

Further information

No additional information is provided.