• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mathematical Problems in Engineering >Low-Complexity User Scheduling with Switched Tilting for 3D Cellular Systems
【24h】

Low-Complexity User Scheduling with Switched Tilting for 3D Cellular Systems

机译：具有3D蜂窝系统切换倾斜的低复杂度用户计划

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

We propose a low-complexity user scheduling scheme to enhance the sum rate performance for a multicell downlink system, in which the base station (BS) is equipped with a large-scale active antenna array. First, we divide each cell into.. regions according to the vertical beamwidth of the BS antennas. Next, candidate user equipment (UE) items are assigned to corresponding groups to their locations. Each scheduling slot is also divided into.. equal-time subslots. Then, at each subslot, we focus on one UE group, select the optimal number, K*, of UEs for simultaneous data transmission in the manner of round-robin scheduling, and adjust the BS antenna tilting to the optimal angle theta(tilt)*. In particular, K* and theta(tilt)* for each UE group are both obtained by means of large-system asymptotic analysis. Benefiting from the random matrix theory tools, the asymptotic analytical results are independent of instantaneous channel state information of UE, which make it possible to solve K* and theta(tilt)* offline, therefore saving the online computational resources significantly. Numerical results verify that the proposed scheme achieves good sum rate performance with extremely low computational complexity.
机译：我们提出了一种低复杂度的用户调度方案，以增强基站（BS）配备有大规模有源天线阵列的多小区下行链路系统的总速率性能。首先，我们根据BS天线的垂直波束宽度将每个小区划分为多个区域。接下来，将候选用户设备（UE）项目分配给其位置的对应组。每个调度时隙也被分为等时子时隙。然后，在每个子时隙处，我们集中于一个UE组，以轮循调度的方式选择用于同时进行数据传输的UE的最佳数量K *，并将BS天线的倾斜度调整为最佳角度theta（tilt） *。尤其是，每个UE组的K *和theta（tilt）*都是通过大系统渐近分析获得的。借助随机矩阵理论工具，渐近分析结果与UE的瞬时信道状态信息无关，从而可以离线求解K *和theta（tilt）*，从而大大节省了在线计算资源。数值结果验证了该方案以极低的计算复杂度实现了良好的求和速率性能。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2015年第6期|632157.1-632157.9|共9页
  • 作者

    Liu Haijing; Gao Hui; Lv Tiejun;

  • 作者单位

    Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China.;

    Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China.;

    Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China.;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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