A Slice Admission Policy Based on Reinforcement Learning for a 5G Flexible RAN
Muhammad Rehan Raza, Carlos Natalino, P. Öhlén, Lena Wosinska, Paolo Monti · 2018
We present a slice admission policy based on reinforcement learning able to maximize the profit of an infrastructure provider. Results show that when tenants request slices with different latency requirements, the proposed policy outperforms benchmark heuristics by up to 54.5%.