【24h】

Performance evaluation of dynamic point selection CoMP scheme in heterogeneous networks with FTP traffic model

机译:FTP流量模型异构网络动态点选择COMP方案的性能评估

获取原文

摘要

High traffic demand is considered as one of the key challenge in modern wireless communication systems which are typically limited by amount of available spectrum. Recently heterogeneous networks (HetNet) have been proposed as an attractive approach to cope with this problem, by enabling cell splitting gain via deployment of an additional layer of pico-cells. While low power and small antenna height of pico-cell base stations simplify search of the site location, the efficiency of cell splitting gain in HetNet is typically limited by small coverage area of pico-cells. To address the issue of HetNet performance in LTE-A Rel-11, coordinated multipoint (CoMP) traffic management schemes were considered. In particular a combination of dynamic point selection (DPS) with dynamic point blanking (DPB) was identified as a promising mechanism to provide cell load balancing and interference mitigation in HetNet. Dynamicity of CoMP schemes is expected to provide performance benefits in various scenarios including non-full buffer traffic models, where scheduling decisions of DPS/DPB can be based on the instantaneous cell's loading conditions. In this paper we provide detailed system level performance analysis for DPS/DPB CoMP scheme in HetNet scenario with non-full buffer FTP traffic model. The performance results are conducted for different traffic loadings of the cells and DPS/DPB scheduling decision granularities.
机译:高流量需求被认为是现代无线通信系统中的关键挑战之一,其通常限制可用频谱的量。通过通过部署电池分离增益,已经提出了最近的异构网络(HetNet)作为应对该问题的有吸引力的方法,通过部署额外的微微小区来实现细胞分离增益。虽然微微电池基站的低功率和小天线高度简化了站点位置的搜索,但HetNet中的小区分割增益的效率通常由微微电池的小覆盖区域限制。为了解决LTE-A中的HetNet性能问题,考虑了协调的多点(COMP)流量管理方案。特别地,用动态点消隐(DPB)的动态点选择(DPS)的组合被识别为提供细胞负载平衡和HetNet中的干扰缓解的有希望的机制。 Comp方案的动态性预计将在各种场景中提供性能优势,包括非完全缓冲区流量模型,其中DPS / DPB的调度决策可以基于瞬时的小区的负载条件。在本文中,我们为具有非全缓冲FTP流量模型的HetNet方案中的DPS / DPB COMP方案提供了详细的系统级性能分析。对于细胞和DPS / DPB调度决策粒度的不同流量负荷进行了性能结果。

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