Energy Efficient Optimization for Wireless Virtualized Small Cell Networks With Large Large-Scale Multiple Antenna
Abstract: Wireless network virtualization is envisioned as a promising framework to provide efficient and customized services for next-generation generation wireless networks. In wireless virtualized networks (WVNs), limited radio resources are shared among different services providers for providing services to different users with heterogeneous demands. In this paper, we propose a resource all allocation ocation scheme for an orthogonal frequency division multiplexing multiplexing-based based WVN, where one small cell base station equipped with a large number of antennas serves the users with different service requirements. In particular, with the objective to obtain the energy rgy efficiency in the uplink, a joint power, subcarrier, and antenna allocation problem is presented considering availability of both perfect and imperfect channel state information. Subsequently, relaxation and variable transformation are applied to develop op the efficient algorithm to solve the formulated non-convex non and combinational optimization problem. Extensive simulation studies demonstrate the advantages of our presented system architecture and proposed schemes.