Abstract:
Network slicing could transform the telecommunications ecosystem by offering new players in different markets tailored connectivity services based on their business strategies.
Dynamic resource sharing is essential for efficiency, cost savings, and resource negotiation that can unlock new business relationships. We automate tenants’ strategic slice management based on their instantaneous demands and model their interaction as a marketplace.
A slice-aware scheduler enforces tenants’ Nash Equilibrium (NE) decisions in our game theory-based solution on a 3GPP calibrated system level simulator.
By dynamically trading resources in the market, tenants can lower costs and increase profits. We implement an algorithm that guarantees convergence to a single NE and test its computational complexity with increasing system slices.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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