A semi-automated dataset generation framework for B5G/6G network planning research. Generates realistic road topologies, RU/DU/CU placements, demand distributions, connectivity graphs, and ready to use datasets for experimentation with B5G RAN and optical X-haul optimisation algorithms.

Linear programming models for combined IGP/MPLS-TE traffic engineering with 100% survivability. Implementation of Cherubini et al. (2011) with scalability analysis on real and synthetic networks.

Intent-driven closed-loop 5G RAN optimisation — LLM intent interpretation + multi-agent simulation modelling Ericsson-style O-RAN SMO/rApp

Research repository for cost-effective deployment and optimisation of next-generation (B5G/6G) reconfigurable RAN and optical X-haul networks. Features greedy, genetic algorithm, local search, and exact CPLEX models for network planning with complete datasets and analysis tools.