User-aware centralized resource allocation in heterogeneous networks

Abstract

In the last two years, in Europe, 5G networks and services proliferated. The integration of 5G networks with other radio access networks is considered one of the key enablers for matching the challenging 5G Quality of Service requirements. In particular, the integration with high throughput satellites promises to increase the network performances in terms of resilience and Quality of Service. The present work addresses this problem and presents a user-aware resource allocation methodology for heterogeneous networks. Said methodology is articulated in two-steps: at first, the Analytical Hierarchy Process is used for deciding the network over which traffic is steered and, then, a Cooperative Game for allocating resources within the network is set up. Simulations are presented for validating the proposed approach.

Iterative MPC for Energy Management and Load Balancing in 5G Heterogeneous Networks

“…Several methodologies were studied in the field of multiconnectivity for resource management and traffic steering, such as Multiple Attribute Decision Making (MADM) [8], [9], Game Theory [10]- [12] and Reinforcement Learning [13]- [15]. Multi-Access Networks allow the "Always Best Connected" concept presented in [16], defined as the capability to provide to users with the best connection experience, exploiting several radio accesses characterized by heterogenous technologies.…”