首页> 外文会议>International Conference on Wireless Communications and Signal Processing >Interference-mitigation based antenna selection scheme in device-to-device communication underlaying cellular networks
【24h】

Interference-mitigation based antenna selection scheme in device-to-device communication underlaying cellular networks

机译:蜂窝网络下设备间通信中基于干扰缓解的天线选择方案

获取原文

摘要

This paper investigates an antenna selection scheme performing interference mitigation in device-to-device (D2D) communication underlaying cellular networks. Exact closed-form expression of the ergodic achievable rate is derived. Based on this result, the analysis in the high SNR regime at the base station (BS) and the scenario with very large antenna number are investigated, which indicate the saturation of the ergodic achievable rate when these parameters grow very large. Next, two approximations are then shown to be fairly tight, thus yielding much simpler expression of the ergodic achievable rate. Furthermore, we provide the performance analyses in the small cell and macro cell respectively and show that in the small cell, the high SNR approximation of the ergodic achievable rate varies proportionally with the transmit power ratio between the BS and the D2D transmitter. In the macro cell setting where the pathloss factor between the D2D terminals becomes much larger, we show that the ergodic achievable rate's improvement potentials by increasing the antenna number can be elevated with higher transmit power at the BS. Numerical results are then provided to verify the correctness of the expressions derived above. Some observations are made accordingly.
机译:本文研究了在蜂窝网络下的设备到设备(D2D)通信中执行干扰缓解的天线选择方案。得出了遍历可达到速率的精确封闭形式表示。基于此结果,研究了基站(BS)在高SNR情况下的分析以及天线数量非常大的情况,这表明当这些参数变得非常大时,遍历可达到的速率已达到饱和。接下来,然后显示两个近似值非常严格,从而得出遍历可达到速率的简单得多的表达。此外,我们分别提供了在小型蜂窝小区和宏蜂窝小区中的性能分析,结果表明,在小型蜂窝小区中,遍历可达到速率的高SNR近似值与BS和D2D发射机之间的发射功率比成比例地变化。在D2D终端之间的路径损耗因子变得更大的宏小区设置中,我们表明,通过增加天线数量,可以通过BS处更高的发射功率来提高遍历可达到的速率的改善潜力。然后提供数值结果,以验证上面得出的表达式的正确性。据此做出了一些观察。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号