Energy efficiency optimization based on interference alignment for device-to-device MIMO downlink underlaying cellular network

2013 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2013-12-01 DOI:10.1109/GLOCOMW.2013.6825051

Jiamo Jiang, M. Peng, Wenbo Wang, Kecheng Zhang

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引用次数: 12

Abstract

This paper intends to adopt interference alignment (IA) for improving the energy efficiency (EE) of both the device-to-device (D2D) and cellular links in a D2D multiple-input and multiple-output (MIMO) downlink underlaying cellular network. Due to the strong cross-tier interference, the EE optimization problem becomes NP-hard and computationally difficult to solve. IA is implemented firstly to mitigate the cross-tier interference and decouple the problem into independent EE optimization for D2D and cellular links, and then an energy-efficient MIMO transmission scheme which further enhances the EE is proposed. Furthermore, via the nonlinear fractional programming and modified water-filling method, the closed-form expression of the achieved maximal EE for D2D link is derived while satisfying the IA conditions. Simulation results confirm that the EE of the proposed scheme approaches a peak value when both the maximum transmit power allowances of D2D and cellular links are large enough. Meanwhile, the system energy and spectrum efficiency can be improved significantly compared with the conventional interference cancelation in D2D underlay network.

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基于干扰对准的设备对设备MIMO下行蜂窝网络能效优化

本文打算采用干扰对准(IA)来提高D2D多输入多输出(MIMO)下行链路底层蜂窝网络中设备对设备(D2D)和蜂窝链路的能效(EE)。由于强的跨层干扰，EE优化问题变得np困难，计算困难。首先，采用IA来缓解跨层干扰，并将问题解耦为D2D链路和蜂窝链路的独立EE优化，然后提出了一种节能的MIMO传输方案，进一步提高了EE。在此基础上，通过非线性分式规划和改进的充水方法，推导了满足IA条件下D2D连杆获得的最大EE的封闭表达式。仿真结果表明，当D2D链路和蜂窝链路的最大发射功率余量足够大时，所提方案的EE接近峰值。同时，与传统的D2D底层网络干扰消除方法相比，系统能量和频谱效率得到了显著提高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2013 IEEE Globecom Workshops (GC Wkshps)

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