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清华大学学报(自然科学版)  2018, Vol. 58 Issue (2): 170-174    DOI: 10.16511/j.cnki.qhdxxb.2018.26.002
  电子工程 本期目录 | 过刊浏览 | 高级检索 |
基于能效的单频网广播小区部署优化算法
陈皇卿, 钟晓峰, 王京
清华大学 电子工程系, 信息科学与技术国家实验室(筹), 北京 100084
Optimized deployment of broadcast cells based on the energy efficiency in a single frequency network
CHEN Huangqing, ZHONG Xiaofeng, WANG Jing
National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
全文: PDF(1216 KB)  
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摘要 与单小区多播/广播技术相比,多播/广播单频网络技术可以提高用户设备接收信号的频谱效率。使用单频网络将热门数据广播推送给目标用户设备,能够大大节约传输资源。在单频网络区域中对同一数据有需求的用户设备越多,使用广播推送能达到的能量效率越高。在连续广域覆盖网络下,该文提出一种基于能效指标的单频网广播小区部署优化算法,具有计算复杂度低的特点。基于随机几何蜂窝网络模型的仿真结果表明:与单播、单小区广播等模式相比,该算法能明显提升能量效率,提升程度与目标用户设备的分布紧密相关。
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陈皇卿
钟晓峰
王京
关键词 多播/广播单频网络广播小区能量效率多媒体数据推送随机几何    
Abstract:The multimedia broadcast/multicast service over a single frequency network (MBSFN) can significantly improve the spectral efficiency (SE) by conserving transmitting resources, while broadcasting popular data in the MBSFN mode. As more users demand the same data in all MBSFN area, the energy efficiency will improve. This paper uses a low computational complexity deployment algorithm to optimize the broadcast cells with MBSFN transmissions in stochastic geometry networks. Simulations show that broadcasting with this algorithm has better energy efficiency than both unicasting and broadcasting with point-to-multipoint (PTM) in each cell. The efficiency gain is very important to the user equipment distribution.
Key wordsmultimedia broadcast/multicast service over a single frequency network    broadcast cell    energy efficiency    multimedia push    stochastic geometry
收稿日期: 2017-03-13      出版日期: 2018-02-15
ZTFLH:  TN929.53  
通讯作者: 王京,教授,E-mail:wangj@tsinghua.edu.cn     E-mail: wangj@tsinghua.edu.cn
引用本文:   
陈皇卿, 钟晓峰, 王京. 基于能效的单频网广播小区部署优化算法[J]. 清华大学学报(自然科学版), 2018, 58(2): 170-174.
CHEN Huangqing, ZHONG Xiaofeng, WANG Jing. Optimized deployment of broadcast cells based on the energy efficiency in a single frequency network. Journal of Tsinghua University(Science and Technology), 2018, 58(2): 170-174.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2018.26.002  或          http://jst.tsinghuajournals.com/CN/Y2018/V58/I2/170
  图1 能效优化算法流程
  表1 仿真环境设置
  图2 单小区广播推送和优化算法下的单频网广播推送与单播能量效率的比值变化(k=6)
  图3 以T 为广播门限和优化算法下的单频网广播推送与单播能量效率的比值变化(k=6)
  图4 优化算法下的广播单播能效比值随小区目标用户设备数分布的变化
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