  Wireless network virtualization is emerging as an important technology for
next-generation (5G) wireless networks. A key advantage of introducing
virtualization in cellular networks is that service providers can robustly
share virtualized network resources (e.g., infrastructure and spectrum) to
extend coverage, increase capacity, and reduce costs. {However, the inherent
features of wireless networks, i.e., the uncertainty in user equipment (UE)
locations and channel conditions impose significant challenges on
virtualization and sharing of the network resources.} In this context, we
propose a stochastic optimization-based virtualization framework that enables
robust sharing of network resources. Our proposed scheme aims at
probabilistically guaranteeing UEs' Quality of Service (QoS) demand
satisfaction, while minimizing the cost for service providers, with reasonable
computational complexity and affordable network overhead.
