Flexible radio access network optimization with cell coordination

This paper focuses on Beyond fifth generation (B5G) non-linear data modeling and decision-making tools to optimize cost reduction versus coverage-QoS tradeoff. Especially, the distribution of active Remote Radio Heads or Units (RRHs) needed, according to traffic demands, is improved. The proposed optimization platform is based on a multi-objective optimization model, which is designed to reduce the network cost while maintaining the coverage-QoS. Capacity constraints, User Equipments (UEs), and different slices are considered to test the results under realistic conditions. Results at 3.6 and 28 GHz are presented by analyzing and comparing several Cloud Radio Access Network (C-RAN) split options in a heterogeneous deployment with Macro-RRHs (MRRHs) and Small-RRHs (SRRHs). Results show cost reductions from 30% to 70% depending on the scenario. Moreover, the proposed algorithm aggregates the possibility to consider the coordination between cells in order to improve the cost reduction. The results considering cooperation has been presented at both frequency bands with a fully centralized C-RAN (split option 8).
This work has been done under COST20120- INTERACT (Intelligence-Enabling Radio Communications for Seamless Inclusive Interactions) EU project. It was supported by the Grant RTI2018-099880-B-C32 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”, and the Grant FPIUPC
Peer Reviewed
Postprint (published version)