Title: E2M2: Energy Efficient Mobility Management in Dense Small Cells with Mobile Edge Computing,
Abstract: Merging mobile edge computing with the dense deployment of small cell base
stations promises enormous benefits such as a real proximity, ultra-low latency
access to cloud functionalities. However, the envisioned integration creates
many new challenges and one of the most significant is mobility management,
which is becoming a key bottleneck to the overall system performance. Simply
applying existing solutions leads to poor performance due to the highly
overlapped coverage areas of multiple base stations in the proximity of the
user and the co-provisioning of radio access and computing services. In this
paper, we develop a novel user-centric mobility management scheme, leveraging
Lyapunov optimization and multi-armed bandits theories, in order to maximize
the edge computation performance for the user while keeping the user's
communication energy consumption below a constraint. The proposed scheme
effectively handles the uncertainties present at multiple levels in the system
and provides both short-term and long-term performance guarantee. Simulation
results show that our proposed scheme can significantly improve the computation
performance (compared to state of the art) while satisfying the communication
energy constraint.