Energy efficient network planning and dynamic control for hyper-cellular network

Abstract

Hyper cellular network architecture is proposed to separate control coverage and traffic coverage, to realize flexible and energy-efficient network operations. Specifically, the traffic base stations (BSs), which only handle the data services, can be dynamically switched on/off and offload traffic to adjacent traffic base stations or control BSs for energy saving, according to the network load dynamics. With this new feature leveraged, it is crucial and challenging to revisit the problems of network planning, and dynamic BS sleeping and wireless resource allocation, based on the variation of the network traffic load. For the network planning, based on the stochastic geometry theory, the optimal densities of the control BSs and traffic BSs are derived, with respect to their different network functions and topology features. For energy efficient network control, dynamic BS sleeping and spectrum resource allocation mechanisms are proposed and optimized based on traffic offloading, which can substantially reduce the network energy consumption, with the guarantees on the network coverage and user quality of service.