首页> 外文期刊>IEEE transactions on wireless communications >Coverage Performance Analysis of FeICIC Low-Power Subframes
【24h】

Coverage Performance Analysis of FeICIC Low-Power Subframes

机译:FeICIC低功耗子帧的覆盖性能分析

获取原文
获取原文并翻译 | 示例
           

摘要

Although the almost blank subframes (ABSFs) proposed in heterogeneous cellular networks can enhance the performance of the cell range expansion (CRE) user equipments (UEs), it significantly degrades the macro-cell total throughput. To address this problem, the low power subframes (LPSFs) are encouraged to be applied in the macro-cell center region by the further-enhanced inter-cell interference coordination. However, the residual power of the LPSF, which interferes with the CRE UEs, and the proportion of the LPSF affect the downlink throughput together. To achieve a better rate coverage probability, the appropriate LPSF power and the proportion are required. In this paper, the analytical results of the overall signal to interference and noise ratio coverage probability and the rate coverage probability are derived under the stochastic geometric framework. The optimal region bias ranges for maximizing the rate coverage probability are also analyzed. The results show that the ABSF still outperform the LPSF in terms of rate with the optimal range expansion bias, but lead to a heavier burden on the backhaul of the pico-cell. However, with a static range expansion bias, the LPSF provide better rate coverage than the ABSF. In addition, in a low-range expansion scenario, the reduced power of the LPSF has negligible effect on the rate coverage with the optimal resource partitioning.
机译:尽管在异构蜂窝网络中提出的几乎空白的子帧(ABSF)可以增强小区范围扩展(CRE)用户设备(UE)的性能,但它会大大降低宏小区的总吞吐量。为了解决这个问题,通过进一步增强的小区间干扰协调,鼓励在宏小区中心区域中应用低功率子帧(LPSF)。但是,LPSF的剩余功率会干扰CRE UE,并且LPSF的比例会一起影响下行链路吞吐量。为了获得更好的速率覆盖概率,需要适当的LPSF功率和比例。在随机几何框架下,得出了整体信噪比覆盖率和速率覆盖率的分析结果。还分析了用于最大化速率覆盖概率的最佳区域偏置范围。结果表明,ABSF在速率和最佳范围扩展偏差方面仍优于LPSF,但会给微微小区的回程带来更大的负担。但是,在静态范围扩展偏差的情况下,LPSF比ABSF提供更好的速率覆盖。此外,在低范围扩展方案中,LPSF的降低的功率对具有最佳资源划分的速率覆盖范围的影响可忽略不计。

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