Energy-efficient resource allocation in delay-aware wireless virtualized networks

To satisfy various quality-of-service (QoS) requirements of different services in future fifth generation wireless networks, wireless virtualized network (WVN) architectures have been proposed to concurrently fulfill diversified service demands via network slicing technologies. Considering the dynamic characteristics of wireless channels and user traffic, the resource allocation problem in a WVN with two network slices is formulated, aiming to optimize energy efficiency (EE) while constrained by the power consumption, queue stability and QoS requirements. The formulated nonconvex problem is transformed based on the Lyapunov optimization approach and solved via the Lagrange dual decomposition method and a weighted minimum mean square error approach, with an arbitrarily near-optimal solution obtained. Simulation results demonstrate that there is an EE-delay tradeoff with V being the control parameter and a balance between the EE and the queue delay can be achieved on demand by tuning V flexibly.