基于能效和用户服务质量的密集Macro-Femto蜂窝网络部署策略

李云; 王春生; 曹傧; 刘期烈

doi:10.11959/j.issn.1000-436x.2018129

您当前的位置：

首页 >

文章列表页 >

基于能效和用户服务质量的密集Macro-Femto蜂窝网络部署策略

学术论文 | 更新时间：2024-06-05

- 基于能效和用户服务质量的密集Macro-Femto蜂窝网络部署策略
- Energy-efficient and QoS-supported deployment strategy of dense Macro-Femto cellular network
- 通信学报 2018年39卷第7期页码：113-122
- 作者机构：
  
  1. 重庆邮电大学移动通信技术重庆市重点实验室，重庆 400065
  2. 东南大学移动通信国家重点实验室，江苏南京 210096
- 作者简介：
  
  [ "李云（1974-），男，四川西充人，博士，重庆邮电大学教授、博士生导师，主要研究方向为无线移动通信。" ]
  [ "王春生（1989-），男，安徽淮北人，重庆邮电大学硕士生，主要研究方向为异构蜂窝网络。" ]
  [ "曹傧（1983-），男，重庆人，博士，重庆邮电大学副教授，主要研究方向为网络虚拟化、软件定义网络、资源管理和网络协议设计及性能分析。" ]
  [ "刘期烈（1974-），男，四川隆昌人，博士，重庆邮电大学教授，主要研究方向为信息中心网络。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61671096);国家自然科学基金资助项目(61701059);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(2015D07)
- DOI：10.11959/j.issn.1000-436x.2018129
  中图分类号： TN929.5
- 网络出版日期：2018-07，
  
  纸质出版日期：2018-07-25
- 稿件说明：
移动端阅览
李云, 王春生, 曹傧, 等. 基于能效和用户服务质量的密集Macro-Femto蜂窝网络部署策略[J]. 通信学报, 2018,39(7):113-122.

Yun LI, Chunsheng WANG, Bin CAO, et al. Energy-efficient and QoS-supported deployment strategy of dense Macro-Femto cellular network[J]. Journal on communications, 2018, 39(7): 113-122.
李云, 王春生, 曹傧, 等. 基于能效和用户服务质量的密集Macro-Femto蜂窝网络部署策略[J]. 通信学报, 2018,39(7):113-122. DOI： 10.11959/j.issn.1000-436x.2018129.

Yun LI, Chunsheng WANG, Bin CAO, et al. Energy-efficient and QoS-supported deployment strategy of dense Macro-Femto cellular network[J]. Journal on communications, 2018, 39(7): 113-122. DOI： 10.11959/j.issn.1000-436x.2018129.

摘要

随着用户对流量需求的指数级增长，运营商密集地部署微蜂窝来满足用户的服务质量，然而这会引发巨大的能耗。基于此，在满足用户服务质量（QoS

quality of service）的条件下，提出一种密集的异构蜂窝网络的部署策略。首先，采用密集Macro-Femto偏置蜂窝网络建立模型，利用随机几何理论分析信干燥比（SINR）覆盖率和平均用户速率这2种QoS指标。然后，在满足QoS约束条件下，以平均区域功耗（ASPC

average spatial power consumption）作为优化目标，运用经典的最优化理论得到Femto的最优部署密度和发射功率。最后，通过仿真实验证明，与传统单独考虑基站密度的策略相比，提出的部署策略可以在保证QoS的同时，获得更高的能效。

Abstract

With the exponentially increasing of users’ demand for mobile data traffic

massive small cells have been deployed to satisfy the users’ quality of service (QoS) by operators.However

a significant energy would be consumed caused by dense deployment.To this end

a dense heterogeneous cellular network deployment strategy was proposed with QoS guarantee to decline system energy consumption.Firstly

a dense Macro-Femto biased cellular network was used to build the network model

the two QoS indicators of SINR coverage and user average rate was analyzed by stochastic geometry theory.Then

under the condition of QoS constraint

average spatial power consumption (ASPC) was taken as the optimization goal

optimal deploy density and transmission power of Femto were achieved by using optimization theory.Finally

the experimental results show that

comparing with the traditional strategy which only considering base station density

the proposed strategy has advantages in terms of energy efficiency while QoS guarantee.

关键词

Keywords

references

DAMNJANOVIC A , MONTOJO J , WEI Y , et al . A survey on 3GPP heterogeneous networks [J ] . IEEE Wireless Communications , 2011 , 18 ( 3 ): 10 - 21 .

GHOSH A , MANGALVEDHE N , RATASUK R , et al . Heterogeneous cellular networks:from theory to practice [J ] . IEEE Communications Magazine , 2012 , 50 ( 6 ): 54 - 64 .

WU G , YANG C , LI S , et al . Recent advances in energy-efficient networks and their application in 5G systems [J ] . IEEE Wireless Communications , 2015 , 22 ( 2 ): 145 - 151 .

LIN P , ZHANG J , CHEN Y , et al . Macro-Femto heterogeneous network deployment and management:from business models to technical solutions [J ] . IEEE Wireless Communications , 2011 , 18 ( 3 ): 64 - 70 .

KHANDEKAR A , BHUSHAN N , JI T F , et al . LTE-Advanced:heterogeneous networks [C ] // IEEE Wireless Conference . 2010 : 978 - 982 .

HURLEY S . Planning effective cellular mobile radio networks [J ] . IEEE Transactions on Vehicular Technology , 2002 , 51 ( 2 ): 243 - 253 .

DHILLON H S , GANTI R K , BACCELLI F , et al . Modeling and analysis of k-tier downlink heterogeneous cellular networks [J ] . IEEE Journal on Selected Areas in Communications , 2011 , 30 ( 3 ): 550 - 560 .

LI L , PENG M , YANG C , et al . Optimization of base station density for high energy efficient cellular networks with sleeping strategies [J ] . IEEE Transactions on Vehicular Technology , 2016 , 65 ( 9 ): 7501 - 7514 .

李云 , 王俊伟 , 赵为粮 , 等 . 基于基站密度和业务负载的异构蜂窝网络能效优化 [J ] . 电子与信息学报 , 2017 , 39 ( 4 ): 854 - 859 .

LI Y , WANG J W , ZHAO W L , et al . Optimizing the energy efficiency of heterogeneous cellular networks based on the base station density and traffic load [J ] . Journal of Electronics and Information Technology , 2017 , 39 ( 4 ): 854 - 859 .

PENG J , HONG P , XUE K . Energy-aware cellular deployment strategy under coverage performance constraints [J ] . IEEE Transactions on Wireless Communications , 2015 , 14 ( 1 ): 69 - 80 .

DAI J Y , WANG S W . Clustering-based interference management in densely deployed femtocell networks [J ] . Digital Communications ＆Networks , 2016 , 2 ( 4 ): 175 - 183 .

CHEN W , LI H , LI Z , et al . Optimization of small cell deployment in heterogeneous wireless networks [C ] // IEEE International Conference on Computer,Information and Telecommunication Systems . 2016 : 1 - 5 .

DEMIRTAS M , ÇAGGATAY SAGGINDA , SOYSAL A . Energy and spectral efficiency for heterogeneous cellular networks with stochastic deployment [C ] // IEEE Signal Processing and Communications Applications Conference . 2017 : 1 - 4 .

LIN C C , LIU K H S , SU S L . Coverage performance of heterogeneous cellular networks with dependent cell deployment [C ] // IEEE International Symposium on Broadband Multimedia Systems and Broadcasting . 2016 : 1 - 4 .

ZHANG T , ZHAO J , AN L , et al . Energy efficiency of base station deployment in ultra dense Hetnets:a stochastic geometry analysis [J ] . IEEE Wireless Communications Letters , 2016 , 5 ( 2 ): 184 - 187 .

JO H S , SANG Y J , XIA P , et al . Heterogeneous cellular networks with flexible cell association:a comprehensive downlink SINR analysis [J ] . IEEE Transactions on Wireless Communications , 2012 , 11 ( 10 ): 3484 - 3495 .

AUER G , GIANNINI V , DESSET C , et al . How much energy is needed to run a wireless network? [J ] . IEEE Wireless Communications , 2011 , 18 ( 5 ): 40 - 49 .

SINGH S , DHILLON H S , ANDREWS J G . Offloading in heterogeneous networks:modeling,analysis,and design insights [J ] . IEEE Transactions on Wireless Communications , 2013 , 12 ( 5 ): 2484 - 2497 .

TANG J , SO D K C , ALSUSlA E A , et al . Energy-efficient heterogeneous cellular networks with spectrum underlay and overlay access [J ] . IEEE Transactions on Vehicular Technology , 2018 , 67 ( 3 ): 2439 - 2453 .

浏览量

975

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

无人机辅助D2D通信网络安全通信资源分配算法

基于深度学习的传感云sink节点最优能效SWIPT波束成形设计

基于能效的渐近式RZF协作波束成形算法研究

OFDM中继系统中能效优化的资源联合分配算法

广播通信融合网络能效分析