通信学报 ›› 2014, Vol. 35 ›› Issue (5): 1-169.doi: 10.3969/j.issn.1000-436x.2014.05.021

• 学术通信 •    下一篇

广播通信融合网络能效分析

申呈洁1,芮赟2,3,钱国明1,黄飞2,李明齐2   

  1. 1 南京邮电大学 电子科学与工程学院,江苏 南京 210096
    2 中国科学院 上海高等研究院,上海 201210
    3 东南大学 移动通信国家重点实验室,江苏 南京 210096
  • 出版日期:2014-05-25 发布日期:2017-07-24
  • 基金资助:
    国家高技术研究发展计划(“863”计划)重点基金资助项目;国家高技术研究发展计划(“863”计划)重点基金资助项目;上海市科委基金资助项目;上海市科委基金资助项目;中科院重点部署基金资助项目;国家自然科学基金资助项目;东南大学移动通信国家重点实验室开放研究基金资助项目

Energy efficiency analysis of broadcast and communication converged network

Cheng-jie SHEN1,Yun RUI2,3,Guo-ming QIAN1,Fei HUANG2,Ming-qi LI2   

  1. 1 College of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210096, China
    2 Shanghai Advanced Research Institute, Chinese Academic of Sciences, Shanghai 201210, China
    3 National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
  • Online:2014-05-25 Published:2017-07-24
  • Supported by:
    The National High Technology Research and Development Program of China (863 Program);The National High Technology Research and Development Program of China (863 Program);Project of Science and Technology Commission of Shanghai Municipality;Project of Science and Technology Commission of Shanghai Municipality;Project of CAS Key Development;The National Natural Science Foundation of China;Open Reaearch Fund of National Mobile Communications Research Laboratory, Southeast University

摘要:

针对广播通信融合网络的性能分析问题,提出了一种新的系统模型及能效分析方法。从用户请求业务角度出发,将请求的业务分类为热门与非热门业务。并基于随机空间网络模型,将融合网络中的蜂窝基站与用户建模为2个独立的空间泊松点过程(PPP)随机分布,而广播大塔位于服务区域中心。通过考虑广播网的覆盖范围及蜂窝网的中断概率推导出广播与通信融合网络下系统的能量效率(EE)闭合表达式,进一步讨论热门业务概率对融合网络能效的影响。仿真结果表明,基于讨论的融合系统模型,并考虑了通用场景下的基站和用户密度,当热门业务超过总业务的5%后,融合网络能效相比于单蜂窝网络有显著提高。这种新的系统模型及能效分析方法为后期分析融合网络总体性能奠定了基础。

关键词: 融合网络, 能效, 泊松点过程, 热门业务

Abstract:

A novel system model and energy efficiency analysis method were studied to solve the problem of the per-formance analysis of broadcast and communication converged network. From the perspective of the user request, the business could be classified as the popular part and the non-popular part. Based on the random spatial network model, cellular base stations and users were modeled as two independent spatial Poisson point processes (PPP), while the broad-cast tower was assumed to locate in the center of service regions. By further exploiting the coverage of broadcast network and the outage probability of cellular network, the closed-form expression of the converged network energy efficiency (EE) was derived, and the impact of popular business probability to the energy efficiency was discussed. Simulation re-sults show that assuming the mentioned converged system model and the general density of BS and user, the energy effi-ciency of converged network would be significantly improved compared to pure cellular network when the probability of popular businesses is more than 5%. The novel model and energy efficiency analysis method provide the foundation for the study of the overall performance of the converged network.

Key words: converged network, energy efficiency, Poisson point process, popular business

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