Distributed resource allocation for wireless virtualized energy harvesting small cell networks

Abstract

Wireless network visualization is envisioned as a promising framework to provide efficient and customized services for next-generation wireless networks. In wireless virtualized networks (WVNs), limited radio resources are shared among different service providers for providing services to different users with heterogeneous demands. In this work, we propose a distributed resource allocation scheme for a wireless virtualized small cell networks. The SBSs in the considered system are equipped with self-backhaul and energy harvesting capabilities in order to reduce the operation cost. In particular, with the objective to obtain the utility maximization, a joint user association, time, spectrum and power allocation problem is presented. To tackle the formulated mixed combinatorial and non-convex optimization problem, the original problem is divided into three low-complexity subproblems and we propose an alternating direction method of multipliers (ADMM)-based distributed algorithm to address them efficiently and effectively. Simulation studies are conducted to demonstrate the advantages of our presented system architecture and proposed schemes.