Adding the tenant identity as an input to an RL slice admission policy reduced average loss from 271 to 262 in one simulated two-tenant scenario.
IEEE Communications Magazine 56(8), 78–84 (Aug 2018)
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Tenant-Aware Slice Admission Control using Neural Networks-Based Policy Agent
Adding the tenant identity as an input to an RL slice admission policy reduced average loss from 271 to 262 in one simulated two-tenant scenario.