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赵翔、本科生王琪的论文在SUSTAINABLE CITIES AND SOCIETY 刊出
发布时间:2020-12-07 18:15:29     发布者:易真     浏览次数:

标题: Optimizing the ultra-dense 5G base stations in urban outdoor areas: Coupling GIS and heuristic optimization

作者: Wang, Q (Wang, Qi); Zhao, X (Zhao, Xiang); Lv, ZT (Lv, Zhantian); Ma, XY (Ma, Xiaoya); Zhang, RT (Zhang, Ruitian); Lin, YF (Lin, Yifan)

来源出版物: SUSTAINABLE CITIES AND SOCIETY : 63 文献号: 102445 DOI: 10.1016/j.scs.2020.102445 出版年: DEC 2020

摘要: Due to the high propagation loss and blockage-sensitive characteristics of millimeter waves (mmWaves), constructing fifth-generation (5G) cellular networks involves deploying ultra-dense base stations (BSs) to achieve satisfactory communication service coverage. However, ultra-densely deployed BSs are associated with extremely high construction and operation costs for 5G cellular networks. Reducing the construction cost and decreasing the energy consumption of BSs under the premise of ensuring the quality and coverage of services have become major challenges for the rollout of 5G technology. Essentially, the location optimization of 5G BSs can be regarded as a type of maximum coverage location problem (MCLP). Hence, this study coupled geographic information system (GIS) and a heuristic optimization algorithm to spatially explicit simulate the propagation of 5G signals and to optimize the service coverage of 5G BSs. The developed model was applied to search for the optimal solutions in 5G cellular network planning for an urban outdoor area in Wuhan, China. The optimal solutions and comparative experiments demonstrate that the proposed model can provide reasonable and robust results to support 5G cellular network planning. Therefore, this approach can help address the cost and energy consumption challenges faced in constructing 5G infrastructures and facilitate the rollout of 5G technology.

入藏号: WOS:000580580900026

语言: English

文献类型: Article

作者关键词: 5G; Base station; GIS; Optimization; Network planning

地址: [Wang, Qi; Zhao, Xiang; Lv, Zhantian; Zhang, Ruitian; Lin, Yifan] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Ma, Xiaoya] Yangtze Univ, Sch Geosci, Wuhan 430010, Peoples R China.

[Ma, Xiaoya] Minist Nat Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen 518034, Guangdong, Peoples R China.

通讯作者地址: Zhao, X (通讯作者)Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址: zhaoxiang@whu.edu.cn

影响因子:5.268


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