Multi-tenant Admission Control for future networks

The global telecommunications landscape is going to shift considerably due to the impact of the new generation of future networks. It is estimated that by 2025, one-third of the global population will use 5G. Accordingly, all industry players are searching to develop new business cases. One of the main capabilities of 5G to answer these new requirements is Network Slicing since it allows splitting a common infrastructure into several virtual networks, enabling Multi-tenancy. In this case, the admission control function plays a vital role in ensuring the correct operation of these virtual networks by providing the required QoS to the services by allocating radio resources to them. Consequently, the purpose of this thesis is to study a new method to implement the admission control function, which allows optimizing the use of radio resources, to increase the available capacity of tenants, and offer flexibility under different traffic loads. Several simulations are performed to evaluate the algorithm within a multi-tenant, multi-cell environment using MATLAB, where the simplicity and flexibility of our proposal are assessed in each cell and the whole scenario. We obtain a 127% improvement in the bit rate when compared with a baseline scheme, and a gain of 17% when compared to a reference scheme that allows using extra capacity left by other tenants