  Recently released 5G networks empower the novel Network Slicing concept.
%which enables novel business models; Network slicing introduces new business
models such as allowing telecom providers to lease a virtualized slice of their
infrastructure to tenants such as industry verticals, e.g. automotive,
e-health, factories, etc. However, this new paradigm poses a major challenge
when applied to Radio Access Networks (RAN): how to achieve revenue
maximization while meeting the diverse service level agreements (SLAs)
requested by the infrastructure tenants?
  In this paper, we propose a new analytical framework, based on stochastic
geometry theory, to model realistic RANs that leverage the business
opportunities offered by network slicing. We mathematically prove the benefits
of slicing radio access networks as compared to non-sliced infrastructures.
Based on this, we design a new admission control functional block, STORNS,
which takes decisions considering per slice SLA guaranteed average experienced
throughput. A radio resource allocation strategy is introduced to optimally
allocate transmit power and bandwidth (i.e., a slice of radio access resources)
to the users of each infrastructure tenant. Numerical results are illustrated
to validate our proposed solution in terms of potential spectral efficiency,
and compare it against a non-slicing benchmark.
