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Title: Advanced Radio Access Network Featuring Collaborative Mobile Edge Computing with Flexible Per-UE Service Provisioning
Committee:
Dr. Chang, Advisor
Dr. Blough, Chair
Dr. Ramachandran
Abstract:
The objective of the proposed research is to design and experimentally evaluate an advanced radio access network (RAN) that features both a per user equipment (Per-UE) functions integration for optimizing service-oriented performance, and a multi-levels collaborative mobile edge computing (MEC) for supporting next generation applications. Applications such as augmented reality based assisted driving, have unique and highly demanding networking and computational requirements. In the considered example, high data rate video streams from multiple sources are fed to RAN for processing. In order to comply with the requirement of limiting the end-to-end latency to a few milliseconds, the processing of incoming data should take place at the mobile edge in RAN, which increases system cost and complexity. Hence, geo-distributed MEC entities at several tiers of the RAN should be collaborating to allow the distribution of the computational resources in the network. This implies that RAN architecture should have fine-grained flexibility and dynamic function split adaptation to not only be able to serve different applications with specific slices of the network, but also be able to support the communication between different MEC entities.
