Energy Efficient Optimization for Wireless Virtualized Small Cell Networks With Large-Scale Multiple Antenna
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
Published inIEEE Transactions on Communication
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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. ...
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Related funder(s)Academy of Finland
Funding program(s)Joint International Project, AoF
Additional information about fundingAcademy of Finland (Decision 284748) and US NSF.
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