Radio Network Planning towards 5G mmWave Standalone Small-Cell Architectures

被引:20
作者
Athanasiadou, Georgia E. [1 ]
Fytampanis, Panagiotis [1 ]
Zarbouti, Dimitra A. [1 ]
Tsoulos, George V. [1 ]
Gkonis, Panagiotis K. [2 ]
Kaklamani, Dimitra I. [3 ]
机构
[1] Univ Peloponnese, Dept Informat & Telecommun, Wireless & Mobile Commun Lab, Tripolis 22131, Greece
[2] Natl & Kapodistrian Univ Athens, Gen Dept, Sterea Ellada 34400, Dirfies Messapi, Greece
[3] Natl Tech Univ Athens, Sch Elect & Comp Engn, Intelligent Commun & Broadband Networks Lab, 9 Heroon Polytechneiou Str, Athens 15780, Greece
关键词
radio network planning; 5G wireless communications systems; mmWave small cells; COVERAGE;
D O I
10.3390/electronics9020339
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The 5G radio networks have introduced major changes in terms of service requirements and bandwidth allocation compared to cellular networks to date and hence, they have made the fundamental radio planning problem even more complex. In this work, the focus is on providing a generic analysis for this problem with the help of a proper multi-objective optimization algorithm that considers the main constraints of coverage, capacity and cost for high-capacity scenarios that range from dense to ultra-dense mmWave 5G standalone small-cell network deployments. The results produced based on the above analysis demonstrate that the denser the small-cell deployment, the higher the area throughput, and that a sectored microcell configuration can double the throughput for ultra-dense networks compared to dense networks. Furthermore, dense 5G networks can actually have cell radii below 400 m and down to 120 m for the ultra-dense sectored network that also reached spectral efficiency 9.5 bps/Hz/Km(2) with no MIMO or beamforming.
引用
收藏
页数:10
相关论文
共 20 条
[1]   Radio planning and coverage optimization of 3G cellular networks [J].
Amaldi, Edoardo ;
Capone, Antonio ;
Malucelli, Federico .
WIRELESS NETWORKS, 2008, 14 (04) :435-447
[2]  
[Anonymous], 2010, 3GPP TS 36.814
[3]  
[Anonymous], 2019, 38104 3GPP TS ETSI
[4]  
[Anonymous], 2019, 21915 3GPP TR ETSI
[5]  
[Anonymous], 2017, 38900 3GPP TR ETSI
[6]  
Athanasiadou GE, 2014, PROC EUR CONF ANTENN, P2077, DOI 10.1109/EuCAP.2014.6902217
[7]   Optimizing Radio Network Planning Evolution Towards Microcellular Systems [J].
Athanasiadou, Georgia E. ;
Tsoulos, George V. ;
Zarbouti, Dimitra A. ;
Valavanis, Ioannis K. .
WIRELESS PERSONAL COMMUNICATIONS, 2019, 106 (02) :521-534
[8]   A fast and elitist multiobjective genetic algorithm: NSGA-II [J].
Deb, K ;
Pratap, A ;
Agarwal, S ;
Meyarivan, T .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) :182-197
[9]   Planning effective cellular mobile radio networks [J].
Hurley, S .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2002, 51 (02) :243-253
[10]   Evolutionary multiobjective optimization of cellular base station locations using modified NSGA-II [J].
Lakshminarasimman, N. ;
Baskar, S. ;
Alphones, A. ;
Iruthayarajan, M. Willjuice .
WIRELESS NETWORKS, 2011, 17 (03) :597-609