Mobile Edge Computing for Traffic Management Mechanism using HAPS (High Altitude Platform Station)

MEC (Mobile Edge Computing) is a new paradigm to accelerate artificial intelligence (AI) applications by leveraging computing resources on the network edge, can be used to improve intelligent transportation systems (ITS). HAPS is deployed in the stratosphere to provide wide coverage and strong computational capabilities. It is suitable to coordinate terrestrial resources and store the fundamental data associated with ITS-based applications. Performing task offloading and data caching at (RSU’s) in a cooperative manner can reduce the heavy backhaul load and the retransmission of content downloading.

Smart vehicles, Roadside Units (RSU’s), and HAPS, are integrated to build a computation framework for ITS, where the HAPS & RSU’s data library stores the fundamental data needed for the users (vehicles). We are analyzing, computing offloading policy to minimize low-latency and high-bandwidth services minimize the network cost at the user equipment (UE) side, while satisfying the constraints of task offloading deadline, the cache capacity at HAPs and the computing capability of MEC servers.  

Matlab and Mathematica Comunicazioni Algorithm Analysis Simulation Python

Rif. progetto: #33444084

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