Energy-efficient and QoS-supported deployment strategy of dense Macro-Femto cellular network

Yun LI; Chunsheng WANG; Bin CAO; Qilie LIU

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

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Energy-efficient and QoS-supported deployment strategy of dense Macro-Femto cellular network

Papers | 更新时间：2024-06-05

- Energy-efficient and QoS-supported deployment strategy of dense Macro-Femto cellular network
- Journal on Communications Vol. 39, Issue 7, Pages: 113-122(2018)
- 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：
- 基金信息：
  
  The National Natural Science Foundation of China(61671096);The National Natural Science Foundation of China(61701059);The Open Research Fund of National Mobile Communications Research Laboratory Southeast University(2015D07)
- DOI：10.11959/j.issn.1000-436x.2018129
  CLC： TN929.5
- Online First：2018-07，
  
  Published：25 July 2018
- 稿件说明：
移动端阅览
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：

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 .

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