首页> 外文期刊>IEEE transactions on wireless communications >Analysis and Optimization of Caching and Multicasting in Large-Scale Cache-Enabled Heterogeneous Wireless Networks
【24h】

Analysis and Optimization of Caching and Multicasting in Large-Scale Cache-Enabled Heterogeneous Wireless Networks

机译:大规模启用缓存的异构无线网络中缓存和多播的分析和优化

获取原文
获取原文并翻译 | 示例

摘要

Heterogeneous wireless networks (HetNets) provide a powerful approach to meeting the dramatic mobile traffic growth, but also impose a significant challenge on backhaul. Caching and multicasting at macro and pico base stations (BSs) are two promising methods to support massive content delivery and reduce backhaul load in HetNets. In this paper, we jointly consider caching and multicasting in a large-scale cache-enabled HetNet with backhaul constraints. We propose a hybrid caching design consisting of identical caching in the macro-tier and random caching in the pico-tier, and a corresponding multicasting design. By carefully handling different types of interferers and adopting appropriate approximations, we derive tractable expressions for the successful transmission probability in the general signal-to-noise ratio (SNR) and user density region as well as the high SNR and user density region, utilizing tools from stochastic geometry. Then, we consider the successful transmission probability maximization by optimizing design parameters, which is a very challenging mixed discrete-continuous optimization problem. By exploring structural properties, we obtain a near optimal solution with superior performance and manageable complexity. This solution achieves better performance in the general region than any asymptotically optimal solution, under a mild condition. The analysis and optimization results provide valuable design insights for practical cache-enabled HetNets.
机译:异构无线网络(HetNets)提供了一种强大的方法来满足移动流量的急剧增长,但也给回程带来了巨大挑战。宏和微微基站(BS)的缓存和多播是两种有前途的方法,可支持大量内容传递并减少HetNets中的回程负载。在本文中,我们共同考虑在具有回程限制的大规模启用缓存的HetNet中进行缓存和多播。我们提出了一种混合缓存设计,其中包括宏层中的相同缓存和微微层中的随机缓存,以及相应的多播设计。通过仔细处理不同类型的干扰源并采用适当的近似值,我们利用工具得出了在一般信噪比(SNR)和用户密度区域以及高SNR和用户密度区域中成功传输概率的易处理表达式。来自随机几何。然后,我们通过优化设计参数来考虑成功的传输概率最大化,这是一个非常具有挑战性的混合离散连续优化问题。通过探索结构特性,我们获得了具有最佳性能和可管理复杂性的最佳解决方案。在温和条件下,该解决方案在一般区域内的性能优于任何渐近最优解决方案。分析和优化结果为实用的启用缓存的HetNet提供了宝贵的设计见解。

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