A System Dynamics Model of 5G Low-Band Spectrum Management

Muhammad Shalahuddin; Wikan Danar Sunindyo; Mohammad Ridwan Effendi; Kridanto Surendro

doi:10.5614/itbj.ict.res.appl.2025.19.1.3

Authors

Muhammad Shalahuddin Department of Informatics, Universitas Teknologi Bandung, Jalan Soekarno-Hatta No.378, Bandung 40235,
Wikan Danar Sunindyo School of Electrical Engineering and Informatics, Institut Teknologi Bandung Jalan Ganesa No. 10 Bandung 40132,
Mohammad Ridwan Effendi School of Electrical Engineering and Informatics, Institut Teknologi Bandung Jalan Ganesa No. 10 Bandung 40132,
Kridanto Surendro School of Electrical Engineering and Informatics, Institut Teknologi Bandung Jalan Ganesa No. 10 Bandung 40132,

DOI:

https://doi.org/10.5614/itbj.ict.res.appl.2025.19.1.3

Keywords:

5G low-band, goal-seeking, predictive model, radio spectrum management, system dynamics

Abstract

The fifth-generation (5G) mobile communication system represents a major advancement in wireless technology, relying on effective radio spectrum management to ensure optimal performance. Among the available frequency ranges, the 5G low-band spectrum provides extensive coverage but limited capacity, making its efficient management a critical challenge. This study presents a predictive model based on the system dynamics approach to analyze the management of the 5G low-band spectrum. The model captures the interrelationships between technical and economic variables that influence spectrum allocation and service adoption over time. Three simulation scenarios?low, medium, and high allocation rates?were developed to examine allocation patterns and their effects on 5G service diffusion. The results revealed that spectrum management in 5G exhibits goal-seeking behavior constrained by spectrum scarcity, with service adoption showing a growth-to-saturation pattern. The findings demonstrate that appropriate low-band spectrum management can significantly enhance 5G deployment efficiency. The proposed model serves as a decision-support tool for policymakers and regulators, enabling evaluation of alternative management strategies prior to policy implementation and promoting evidence-based decision-making in future 5G spectrum policies.

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References

Knieps, G. & Bauer, J. M., Internet of Things and the Economics of 5G-based Local Industrial Networks, Telecommunication Policy, 46(4), May, 2022.

Mazar, H., Radio Spectrum Management, West Sussex: John Wiley & Sons, 2016.

Buys, P., Dasgupta, S., Thomas, T.S., & Wheeler, D., Determinants of a Digital Divide in Sub-Saharan Africa: A Spatial Econometric Analysis of Cell Phone Coverage, World Dev., 37(9), pp. 1494-1505, Sep. 2009.

Cieslik, K., Cecchi, F., Assefa Damtew, E., Tafesse, S., Struik, P. C., Lemaga, B., & Leeuwis, C. The role of ICT in collective management of public bads: The case of potato late blight in Ethiopia. World Development, 140. Apr. 2021.

Hilbert, M., When is Cheap, Cheap Enough to Bridge the Digital Divide? Modeling Income Related Structural Challenges of Technology Diffusion in Latin America, World Dev., 38(5), pp. 756-770, May, 2010.

Keijser, C., Belderbos, R. & Goedhuys, M., Governance and Learning in Global, Regional, and Local Value Chains: The IT Enabled Services Industry in South Africa, World Dev., 141, May, 2021.

Thilakarathne, N.N., Review on the use of ICT Driven Solutions Towards Managing Global Pandemics, J. ICT Res. Appl., 14(3), pp. 207-225, 2021.

Abate, G.T., Bernard, T., Makhija, S. & Spielman, D.J., Accelerating Technical Change Through ICT: Evidence from a Video-mediated Extension Experiment in Ethiopia, World Dev., 161, Jan, 2023.

Niebel, T., ICT And Economic Growth ? Comparing Developing, Emerging and Developed Countries, World Dev., 104, pp. 197-211, Apr, 2018.

5G Americas, 5G Spectrum Vision, 2019. https://www.5gamericas.org/5g-spectrum-vision/ (Jun. 28, 2022)

inCITES Consulting, Europe 5G Readiness Index, Luxemburg, 2020.

PT LAPI ITB, Unlocking 5G Potential for Digital Economy in Indonesia, Bandung, 2020.

Rossi, M.A., The Advent of 5G and the Non-discrimination Principle, Telecommun. Policy, 46(4), May, 2022. DOI: 10.1016/j.telpol.2021.102279

Tikhomirov, A., Omelyanchuk, E. & Semenova, A. Recommended 5G Frequency Bands Evaluation, 2018 Syst. Signals Gener. Process. Field Board Commun., 2018(14), pp. 1-4, 2018.

Kovtun, V., Grochla, K. Altameem, T. & Al-Maitah, M., Evaluation of the Qos Policy Model of an Ordinary 5G Smart City Cluster with Predominant URLLC and Embb Traffic, PLoS ONE, 18(12 December), Dec, 2023.

Bauer, J.M. & E. Bohlin, Regulation and Innovation in 5G Markets, Telecommun. Policy, 46(4), May 2022.

Cave, M., How Disruptive is 5G?, Telecommunication Policy, 42(8), pp. 653?658, Sep, 2018.

Guo, W., Qureshi, N.M.F., Siddiqui, I.F. & Shin, D.R., Cooperative Communication Resource Allocation Strategies for 5G and Beyond Networks: A Review of Architecture, Challenges and Opportunities, J. King Saud Univ. - Comput. Inf. Sci., 2022.

Larsson, C., 5G Networks, Academic Press, London, 2018.

Gourdache, S., Bilami, A. & Barka, K., A Framework for Spectrum Harvesting in Heterogeneous Wireless Networks Integration, J. King Saud Univ. - Comput. Inf. Sci., 33(3), pp. 281-290, Mar, 2021.

Lagunas, E., Tsinos, C.G., Sharma, S.K. & Chatzinotas, S., 5G Cellular and Fixed Satellite Service Spectrum Coexistence in C-band, IEEE Access, 8, pp. 72078-72094, 2020.

Ahmad, W. S. H. M. W., Radzi, N. A. M., Samidi, F. S., Ismail, A., Abdullah, F., Jamaludin, M. Z., & Zakaria, M. N. 5G Technology: Towards Dynamic Spectrum Sharing Using Cognitive Radio Networks. IEEE Access, 8, 14460?14488. 2020.

Agiwal, M., Kwon, H., Park, S. & Jin, H., A Survey on 4G-5G Dual Connectivity: Road to 5G Implementation, IEEE Access, 9, pp. 16193?16210, 2021.

Jeon, J., Ford, R.D., Ratnam, V.V., Cho, J. & Zhang, J., Coordinated Dynamic Spectrum Sharing for 5G and Beyond Cellular Networks, IEEE Access, 7, pp. 111592?111604, 2019.

Rony, R.I., Lopez-Aguilera, E. & Garcia-Villegas, E. Dynamic Spectrum Allocation Following Machine Learning-based Traffic Predictions in 5G, IEEE Access, 9, pp. 143458?143472, 2021.

Choung, J.Y., Ji, I. & Hameed, T., International Standardization Strategies of Latecomers: The Cases of Korean TPEG, T-DMB, and Binary CDMA, World Dev., 39(5), pp. 824?838, May, 2011.

Lim, G., Li, C. & Adi Syailendra, E. Why is it So Hard to Push Chinese Railway Projects in Southeast Asia? The Role of Domestic Politics in Malaysia and Indonesia, World Dev., 138, Feb, 2021.

Hosseinalizadeh, R., Shakouri, H. & Izadbakhsh, H., Planning for Energy Production From Municipal Solid Waste: An Optimal Technology Mix via a Hybrid Closed-loop System Dynamics-optimization Approach, Expert Syst. Appl., 199, Aug, 2022.

Sterman, J., Business Dynamics: Systems Thinking and Modeling for a Complex World. Boston: Irwin McGraw-Hill, 2000.

Robinson, S., Simulation: The Practice of Model Development and use, John Wiley & Sons, 2004.

Law, A.M., Simulation Modeling and Analysis. 2015. [Online]. Available: www.averill-law.com

Ghosh, A., Dynamic Systems for Everyone: Understanding How Our World Works, Second Edition, Cham, Switzerland: Springer Nature, 2016.

Mohamed Marzouk & Shimaa Azab, Environmental and Economic Impact Assessment of Construction and Demolition Waste Disposal using System Dynamics, Resour. Conserv. Recycl., 82, pp. 41?49, 2014.

de Gooyert, V. & Grler, A., On the Differences between Theoretical and Applied System Dynamics Modeling, Syst. Dyn. Rev., 34(4), pp. 575?583, 2018.

Zhang, X., Xu, L. & Li, C. ?Sustainability of Water Resources in Shandong Province Based on a System Dynamics Model of Water-economy-society for the Lower Yellow River, Sustain. Switz., 14(6), Mar, 2022.

Liu, L., Tang, Y., Chen, Y., Zhou, X. & Bedra, K.B., Urban Sprawl and Carbon Emissions Effects in City Areas Based on System Dynamics: A Case Study of Changsha City, Appl. Sci. Switz., 12(7), Apr, 2022.

Barati, A.A., Azadi, H. & Scheffran, J., A System Dynamics Model of Smart Groundwater Governance, Agric. Water Manag., 221(May), pp. 502?518, 2019.

Xu, B., Li, J., Liu, X. & Yang, Y., System Dynamics Analysis for the Governance Measures against Container Port Congestion, IEEE Access, 9, 2021.

Zeng, X., Deng, L., Zhou, M. & Li, W., Nonlinear System Simulation and Forecasting of Regional Technology Innovation Using System Dynamics Method, IEEE Access, 9, pp. 132354?132362, 2021.

Xiu G. & Zhao, Z., Sustainable Development of Port Economy Based on Intelligent System Dynamics, IEEE Access, 9, pp. 14070?14077, 2021.

Esmaeili M. & Anvari-Moghaddam, A., The Effect of Ratio-based Incentive on Wind Capacity Development and Investment Risk of Wind Units: A System Dynamics Approach, IEEE Access, 9, pp. 110772?110786, 2021.

Abdelbari H. & Shafi, K., A Computational Intelligence-based Method to ?Learn? Causal Loop Diagram-like Structures from Observed Data, Syst. Dyn. Rev., 33(1), pp. 3?33, 2017.

Homer, J., Levels of Evidence in System Dynamics Modeling, Syst. Dyn. Rev., 30(1?2), pp. 75?80, 2014.

Bedi, I., Setting the scene for 5G: Opportunities & Challenges. International Telecommunication Union, 2018.

Rodriguez, Jonathan, Fundamentals of 5G Mobile Networks. West Sussex: Wiley, 2015.

Trick, U., An Introduction to the 5th Generation Mobile Networks. Berlin: Walter de Gruyter GmbH, 2021.

Luna-Reyes, L.F. & Andersen, D.L., Collecting and Analyzing Qualitative Data for System Dynamics: Methods and Models, Syst. Dyn. Rev., 19(4), pp. 271?296, 2003.

Pejic-Bach M. & Ceric, V., Developing System Dynamics Models with Step-by-step Approach, J. Inf. Organ. Sci., 31(1), pp. 171?185, 2007.

Wolstenholme, E., Using Generic System Archetypes to Support Thinking and Modelling, Syst. Dyn. Rev., 20(4), pp. 341?356, 2004.