A1 Journal article (refereed)
Energy Efficient Optimization for Wireless Virtualized Small Cell Networks With Large-Scale Multiple Antenna (2017)

Chang, Z., Han, Z., & Ristaniemi, T. (2017). Energy Efficient Optimization for Wireless Virtualized Small Cell Networks With Large-Scale Multiple Antenna. IEEE Transactions on Communication, 65(4), 1696-1707. https://doi.org/10.1109/TCOMM.2017.2666182

JYU authors or editors

Chang, Zheng
Ristaniemi, Tapani

Publication details

All authors or editors: Chang, Zheng; Han, Zhu; Ristaniemi, Tapani

Journal or series: IEEE Transactions on Communication

ISSN: 0090-6778

eISSN: 1558-0857

Publication year: 2017

Volume: 65

Issue number: 4

Pages range: 1696-1707

Publisher: IEEE

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/TCOMM.2017.2666182

Publication open access: Not open

Publication channel open access:

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/55938

Abstract

Wireless network virtualization 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 services providers for providing services to different users with heterogeneous demands. In this paper, we propose a resource allocation scheme for an orthogonal frequency division multiplexing-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 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 the efficient algorithm to solve the formulated non-convex and combinational optimization problem. Extensive simulation studies demonstrate the advantages of our presented system architecture and proposed schemes.

Keywords: wireless networks; wireless data transmission; virtualisation; energy efficiency; optimisation

Free keywords: large scale multiple antenna system; small cell

Fields of science: