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Optimizing Radio Network Planning Evolution Towards Microcellular Systems

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Abstract

Service demand in cellular radio networks is generally heterogeneous and non uniform, leading to asymmetrical topologies. This complexity along with the multiple radio access technologies, the radio channel and practical constraints, make the radio network planning process a challenging task that leaves little room for intuitive solutions. In this paper we formulate the framework that allows for radio network planning analysis to be performed in the context of an evolutionary macro–micro-relay combination approach, or wide area microcell deployments. Coverage, capacity and cost requirements as well as different practical constraints such as reuse of existing 2G and 3G sites, are considered along with a multi-objective optimization algorithm adapted to the radio network planning problem for 4G systems. Among other things, the produced results highlight two key issues: (a) the way towards high capacity radio networks is to replace macrocells with a number of microcells that is more than one order of magnitude higher, (b) optimizing the radio network deployment can reduce the cost/Mbps/km2 by factors of 4 to 20, compared to equivalent macrocellular reference scenarios.

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References

  1. Hurley, S. (2002). Planning effective cellular mobile radio networks. IEEE Transactions on Vehicular Technology, 51, 243–253. https://doi.org/10.1109/25.994802.

    Article  Google Scholar 

  2. Jaber, M., Dawy, Z., Akl, N., & Yaacoub, E. (2016). Tutorial on LTE/LTE-A cellular network dimensioning using iterative statistical analysis. IEEE Communications Surveys & Tutorials, 18, 1355–1383. https://doi.org/10.1109/comst.2015.2513440.

    Article  Google Scholar 

  3. Amaldi, E., Capone, A., & Malucelli, F. (2007). Radio planning and coverage optimization of 3G cellular networks. Wireless Networks, 14, 435–447. https://doi.org/10.1007/s11276-006-0729-3.

    Article  Google Scholar 

  4. Molina, A., Athanasiadou, G., & Nix, A. (1999). The automatic location of base-stations for optimised cellular coverage: a new combinatorial approach Sign In or Purchase. In 1999 IEEE 49th vehicular technology conference (pp. 606–610). Houston, TX, USA: IEEE.

  5. Athanasiadou, G. E., Zarbouti, D., & Tsoulos, G. V. (2014). Automatic location of base-stations for optimum coverage and capacity planning of LTE systems. In The 8th European Conference on Antennas and Propagation (EuCAP 2014) (pp. 2077–2081). IEEE.

  6. Ericsson. (2015). Ericsson Mobility Report—On the pulse of the networkers society, Stockholm, Sweden.

  7. Valavanis, I. K., Athanasiadou, G. E., Zarbouti, D. A., & Tsoulos, G. V. (2016). Multi-objective optimization for base-station location in mixed-cell LTE networks. In 10th European Conference on Antennas and Propagation (EuCAP), Davos, Switzerland.

  8. Tsoulos, G. V. (1999). Smart antennas for mobile communication systems: Benefits and challenges. Electronics & Communication Engineering Journal, 11, 84–94. https://doi.org/10.1049/ecej:19990204.

    Article  Google Scholar 

  9. Awada, A., Wegmann, B., Viering, I., & Klein, A. (2011). Optimizing the radio network parameters of the long term evolution system using Taguchi’s method. IEEE Transactions on Vehicular Technology, 60, 3825–3839. https://doi.org/10.1109/TVT.2011.2163326.

    Article  Google Scholar 

  10. Lakshminarasimman, N., Baskar, S., Alphones, A., & Willjuice Iruthayarajan, M. (2011). Evolutionary multiobjective optimization of cellular base station locations using modified NSGA-II. Wireless Networks, 17, 597–609. https://doi.org/10.1007/s11276-010-0299-2.

    Article  Google Scholar 

  11. Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6, 182–197. https://doi.org/10.1109/4235.996017.

    Article  Google Scholar 

  12. Pekka, K., Juha, M., Hentilä, L., et al. (2007). WINNER II—D1.1.2—Channel models.

  13. 3rd Generation Partnership Project. (2010). 3GPP TR 36.814—Further advancements for E-UTRA physical layer aspects (Release 9).

  14. European Telecommunications Standards Institute. (2011). ETSI TS 136 213—Physical layer procedures.

  15. Ikuno, J. C., Wrulich, M., & Rupp, M. (2010). System level simulation of LTE networks. In 2010 IEEE 71st Vehicular Technology Conference (pp. 1–5). IEEE.

  16. Döttling, M., Mohr, W., & Osseiran, A. (Eds.). (2009). Radio technologies and concepts for IMT-advanced. Chichester: Wiley.

    Google Scholar 

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Authors and Affiliations

  1. Department of Informatics and Telecommunications, University of Peloponnese, Tripolis, Greece

    Georgia E. Athanasiadou, George V. Tsoulos, Dimitra A. Zarbouti & Ioannis K. Valavanis

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  1. Georgia E. Athanasiadou
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  2. George V. Tsoulos
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  3. Dimitra A. Zarbouti
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  4. Ioannis K. Valavanis
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Correspondence to George V. Tsoulos.

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Athanasiadou, G.E., Tsoulos, G.V., Zarbouti, D.A. et al. Optimizing Radio Network Planning Evolution Towards Microcellular Systems. Wireless Pers Commun 106, 521–534 (2019). https://doi.org/10.1007/s11277-019-06177-5

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  • DOI: https://doi.org/10.1007/s11277-019-06177-5

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