Energy Efficient Optimization for Wireless Virtualized Small Cell Networks With Large-Scale Multiple Antenna

Energy Efficient Optimization for Wireless Virtualized Small Cell Networks With Large-Scale Multiple Antenna
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DOI:
10.1109/tcomm.2017.2666182
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发表时间:
2017-02
影响因子:
8.3
通讯作者:
Zheng Chang;Zhu Han;T. Ristaniemi
Zheng Chang;Zhu Han;T. Ristaniemi
中科院分区:
计算机科学2区
文献类型:
--
作者:
Zheng Chang;Zhu Han;T. Ristaniemi

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无线网络虚拟化被视为一个有前途的框架,可为下一代无线网络提供高效和定制化的服务。在无线虚拟化网络(WVN)中,有限的无线电资源在不同的服务提供商之间共享,以便为具有不同需求的不同用户提供服务。在本文中,我们针对基于正交频分复用的无线虚拟化网络提出了一种资源分配方案,其中一个配备大量天线的小小区基站为具有不同服务需求的用户提供服务。特别是,以获得上行链路的能量效率为目标,考虑完美和非完美信道状态信息的可用性,提出了一个联合功率、子载波和天线分配问题。随后,应用松弛和变量变换来开发有效的算法,以解决所构建的非凸组合优化问题。大量的仿真研究证明了我们所提出的系统架构和方案的优势。
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.