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Market-Driven Stochastic Resource Allocation Framework for Wireless Network Virtualization
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DOI：10.1109/JSYST.2019.2927443.png)
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Abstract
En 中文
Wireless network virtualization is emerging as a potential game-changer for fifth-generation wireless networks. Virtualization of network resources (e.g., infrastructure and spectrum) brings several advantages. One key advantage is that various network operators can robustly share their virtualized network resources to extend coverage, increase capacity, and reduce costs. However, inherent features of wireless communications, e.g., the uncertainty in user equipment locations and channel conditions, impose significant challenges on virtualization and sharing of the network resources. In this context, we propose a novel three-layered virtualization framework, based on a matching game model and stochastic resource allocation. Our proposed architecture aims at guaranteeing user satisfaction and maximizing the revenue for operators, with reasonable computational complexity, and affordable network overhead.
Keywords:
Dynamic slicing
matching markets
Poisson point process (PPP)
stochastic resource allocation
wireless network virtualization
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