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基于基站密度和業(yè)務(wù)負(fù)載的異構(gòu)蜂窩網(wǎng)絡(luò)能效優(yōu)化

李云,  王俊偉,  趙為糧,  劉期烈

李云, 王俊偉, 趙為糧, 劉期烈. 基于基站密度和業(yè)務(wù)負(fù)載的異構(gòu)蜂窩網(wǎng)絡(luò)能效優(yōu)化[J]. 電子與信息學(xué)報, 2017, 39(4): 854-859. doi: 10.11999/JEIT160192
引用本文: 李云, 王俊偉, 趙為糧, 劉期烈. 基于基站密度和業(yè)務(wù)負(fù)載的異構(gòu)蜂窩網(wǎng)絡(luò)能效優(yōu)化[J]. 電子與信息學(xué)報, 2017, 39(4): 854-859. doi: 10.11999/JEIT160192
LI Yun, WANG Junwei, ZHAO Weiliang, LIU Qilie. Optimizing the Energy Efficiency of Heterogeneous Cellular Networks Based on the Base Station Density and Traffic Load[J]. Journal of Electronics & Information Technology, 2017, 39(4): 854-859. doi: 10.11999/JEIT160192
Citation: LI Yun, WANG Junwei, ZHAO Weiliang, LIU Qilie. Optimizing the Energy Efficiency of Heterogeneous Cellular Networks Based on the Base Station Density and Traffic Load[J]. Journal of Electronics & Information Technology, 2017, 39(4): 854-859. doi: 10.11999/JEIT160192

基于基站密度和業(yè)務(wù)負(fù)載的異構(gòu)蜂窩網(wǎng)絡(luò)能效優(yōu)化

doi: 10.11999/JEIT160192 cstr: 32379.14.JEIT160192
基金項目: 

國家自然科學(xué)基金(61671096)，國家重點基礎(chǔ)研究發(fā)展計劃(2012CB316004)，東南大學(xué)移動通信國家重點實驗室開放研究基金(2015D07)

Optimizing the Energy Efficiency of Heterogeneous Cellular Networks Based on the Base Station Density and Traffic Load

Funds: 

The National Natural Science Foundation of China (61671096), The National Basic Research Program of China (2012CB316004), The Open Research Fundation of National Mobile Communications Research Laboratory, Southeast University (2015D07)

  • 摘要: 該文在兩層異構(gòu)網(wǎng)絡(luò)架構(gòu)下，采用泊松分布(PPP)建立基站分布模型，構(gòu)建基于基站密度和業(yè)務(wù)負(fù)載的網(wǎng)絡(luò)能效模型。分析基站密度對網(wǎng)絡(luò)能效的影響，并根據(jù)網(wǎng)絡(luò)業(yè)務(wù)流量的到達率對宏基站和小基站的密度進行聯(lián)合優(yōu)化，得到宏基站和小基站的最優(yōu)聯(lián)合密度，在保證網(wǎng)絡(luò)服務(wù)質(zhì)量的同時，使能效達到最優(yōu)。仿真結(jié)果表明，在不同的網(wǎng)絡(luò)業(yè)務(wù)需求下，通過基站密度的優(yōu)化，在保證網(wǎng)絡(luò)服務(wù)質(zhì)量的同時，合理部署宏基站和小基站的數(shù)量，可使能效大幅度提高。
    Abstract: Poisson Point Process (PPP) is used to establish the distribution model of base stations in two-tier heterogeneous networks, and formulate the energy efficiency maximization problem based on the base station density and the traffic load. The influence of the base station density on the energy efficiency is analyzed to optimize the densities of the macro base stations and small base stations according to the traffic load. The optimal densities of the macro base stations and small base stations are deduced, which can optimize the energy efficiency under the constraint of the quality of service. Simulation results indicate that, under the constraint of the quality of service, reasonable deployment of macro and small stations can greatly improve the energy efficiency.
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出版歷程
  • 收稿日期:  2016-03-01
  • 修回日期:  2017-01-20
  • 刊出日期:  2017-04-19

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