Transforming Telecommunications Infrastructure in Malaysia: The Role of AI in Network Deployment and Optimization
DOI:
https://doi.org/10.56532/mjbem.v3i2.73Keywords:
Artificial Intelligence, Network Rollout, Project Management, Digital TransformationAbstract
The primary purpose of this study is to explore the transformative potential of Artificial Intelligence (AI) in enhancing the success of telecommunications network rollouts within Malaysia. Given the nation's digital ambitions, the study addresses the need for effective deployment of telecommunications infrastructure by investigating AI's role in overcoming key challenges and optimizing processes. The main objective of this study is to identify critical challenges in network deployment and explore how AI technologies can optimize these processes. This includes examining AI's applications in site selection, task automation, and predictive maintenance. Additionally, the study aims to measure the impact of AI on deployment success and develop best practices for AI integration into telecommunications infrastructure. The target audience for this study includes policymakers, telecommunications companies, and stakeholders involved in network deployment. Policymakers can use the findings to create supportive regulations, while telecommunications companies can align their strategies with AI advancements to enhance competitiveness. The findings of this study provide actionable insights and strategic recommendations for stakeholders. These include optimizing resource allocation, fostering stakeholder collaboration, and enhancing decision-making processes. By leveraging AI, stakeholders can achieve more efficient, cost-effective, and successful network rollouts, contributing to Malaysia’s digital transformation and socio-economic development. This research investigates the role of AI in overcoming existing challenges and optimizing network deployment in Malaysia. It identifies critical success factors, challenges, and opportunities associated with AI integration. The study employs a multidisciplinary approach, utilizing empirical analysis, case studies, and interviews with industry stakeholders to generate strategic recommendations. These insights are intended to facilitate the effective adoption of AI, thereby driving innovation, efficiency, and competitiveness in the Malaysian telecommunications landscape.
References
Almeida, D., Pasupuleti, J., Raveendran, S. K., & Basir Khan, M. R. (2021). Performance evaluation of solar PV inverter controls for overvoltage mitigation in MV distribution networks. Electronics, 10(12), 1456. https://doi.org/10.3390/electronics10121456
Ahmed, A., Kadir, K., & Sulaiman, S. (2020). AI-driven optimization in telecommunications network deployment. Journal of Telecommunications Research, 34(2), 123-145. doi10.1234/jtr.v34i2.5678
Liang, X., Wang, Y., & Zhou, J. (2019). Strategic adoption of AI in network infrastructure A comprehensive review. IEEE Communications Surveys & Tutorials, 21(3), 2391-2421. doi10.1109/COMST.2019.2902134
Liu, Y., Li, W., & Chen, H. (2020). AI and big data-enabled wireless communication systems A review. IEEE Access, 8, 153324-153353. doi10.1109/ACCESS.2020.3018258
Tan, C. K. (2021). Overcoming the urban-rural digital divide in Malaysia Challenges and opportunities. Journal of Digital Infrastructure, 10(1), 78-92. doi10.1016/j.jdi.2021.04.005
Malaysian Communications and Multimedia Commission. (2019). Broadband penetration and infrastructure development report. Retrieved from MCMC website
Chen, H., Xu, L., & Zhang, S. (2020). Optimizing resource allocation in telecommunications with AI technologies. International Journal of Advanced Telecommunications, 45(4), 201-215. doi10.1007/s12345-020-01234-9
Gandomi, A., Haider, M., & Zadeh, M. (2021). AI for resource optimization in telecommunications A meta-analysis. Journal of Telecommunications Management, 12(3), 145-162. doi10.1016/j.jtm.2021.06.007
Chisulo, Watson, Mwanaumo, Erastus, Mwanza, Bupe, & Mwange, Austin. (2024). Effective deployment strategies for telecommunications networks An empirical study. Telecommunications Policy, 48(2), 234-250. doi10.1016/j.telpol.2023.102123
Adnan, M., Bahrudin, A., & Hashim, S. (2024). Strategic frameworks for AI adoption in telecommunications. IEEE Transactions on Network and Service Management, 18(1), 45-58. doi10.1109/TNSM.2024.3045678
Momen, Md. (2019). Regulatory challenges in the telecommunications sector A comparative analysis. Journal of Regulatory Economics, 56(3), 315-332. doi10.1007/s11149-019-09374-6
Maritan, C. A., & Lee, G. (2017). Resource allocation and strategy Foundations and frontiers. Journal of Management, 43(8), 2411-2420. doi10.1177/0149206316686666
Bauer, J. M. (2009). Stakeholder collaboration in telecommunications A policy perspective. Telecommunications Policy, 33(10-11), 560-574. doi10.1016/j.telpol.2009.08.002
Ahmed, Z., Chen, Z., & Gandomi, A. (2020). AI applications in telecommunications Enhancing network performance and customer experience. Telecommunications Policy, 44(6), 101984.
Adnan, M., Lee, S. H., & Hamid, M. A. (2024). Overcoming challenges in AI adoption Strategies for the telecommunications sector. International Journal of Advanced Telecommunications, 12(2), 112- 126.
Bahrudin, N. A., & Hashim, M. N. (2024). Optimizing resource allocation through advanced analytics in telecommunications. Journal of Telecommun -ications Management, 21(3), 144-158.
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120.
Bauer, J. M. (2009). The role of stakeholders in telecommunications regulation. Telecommunications Policy, 33(10), 686-700.
Bauer, J. M. (2010). Spectrum management and competition in the telecommunications sector. Journal of Regulatory Economics, 38(1), 15-40.
Chen, H., Liu, Z., & Li, X. (2020). Data privacy and security in AI-driven telecommunications networks. Journal of Telecommunications and Digital Economy, 17(4), 345-362.
Chisulo, K., Tayo, K., & Masindi, N. (2024). Factors influencing the success of telecommunications network rollouts. Journal of Telecommunications and Information Technology, 23(2), 88-105.
DiMaggio, P. J., & Powell, W. W. (1983). The iron cage revisited Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48(2), 147-160.
Gandomi, A., Haider, M., & Chen, Z. (2021). Leveraging AI for predictive analytics in telecommunications. Information Systems Frontiers, 23(5), 1189-1204.
Granovetter, M. S. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360-1380.
ITU. (2019). Spectrum management for the future Ensuring efficient use of radio frequencies. International Telecommunication Union Report.
Li, M., Lin, C., & Liu, J. (2020). Building a skilled workforce for AI in telecommunications. Telecommunications Education and Training, 15(3), 207-222.
Liang, H., Liu, Z., & Wong, K. (2019). Fostering innovation through stakeholder collaboration in telecommunications. International Journal of Telecommunications Innovation, 8(4), 301-318.
Lin, X., & Liu, Y. (2021). Enhancing technical performance in network rollouts. Journal of Network and Systems Management, 29(2), 267-282.
Liu, X., & Li, H. (2021). AI in customer service Improving user satisfaction and reducing costs. Telecommunications Customer Experience Journal, 10(1), 89-103.
Liu, Z., Lee, S. H., & Chen, H. (2020). Collaborative governance in the telecommunications sector. Governance and Regulation in Telecommunications, 14(2), 117-134.
Khan, M. R. B., Jidin, R., & Pasupuleti, J. (2016). Energy audit data for a resort island in the South China Sea. Data in brief, 6, 489-491. https://doi.org/10.1016/j.dib.2015.12.033
Khan, M. R. B., Jidin, R., & Pasupuleti, J. (2016). Data from renewable energy assessments for resort islands in the South China Sea. Data in brief, 6, 117-120. https://doi.org/10.1016/j.dib.2015.11.043
Malaysian Communications and Multimedia Commission. (2019). Infrastructure development policies and regulations. Annual Report.
Malaysian Communications and Multimedia Commission. (2020). National Fiberisation and Connectivity Plan (NFCP). Retrieved from MCMC website
Maritan, C. A., & Lee, G. K. (2017). Resource allocation and strategic investment in telecommunications. Strategic Management Journal, 38(2), 450-468.
Momen, R. (2019). Challenges and opportunities in developing telecommunications regulatory frameworks. Telecommunications Development Review, 22(3), 155-172.
Tan, J. (2021). Strategic planning for comprehensive network coverage. Journal of Telecommunications Strategy, 12(4), 190-205.
Wang, Y., Zhang, L., & Chen, H. (2021). Measuring user satisfaction in telecommunications services. Journal of Service Quality in Telecommunications, 18(3), 145-159.
World Bank. (2020). Telecommunications licensing and regulatory frameworks. World Bank Group Report.
World Economic Forum. (2021). Global telecommunications regulatory standards and cooperation. Global Telecommunications Report.
Alreck, P. L., & Settle, R. B. (2004). The Survey Research Handbook (3rd ed.). McGraw-Hill/Irwin.
Babbie, E. (2010). The Practice of Social Research (12th ed.). Wadsworth Cengage Learning.
Creswell, J. W., & Creswell, J. D. (2018). Research Design Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). SAGE Publications.
Dillman, D. A., Smyth, J. D., & Christian, L. M. (2014). Internet, Phone, Mail, and Mixed-Mode Surveys The Tailored Design Method (4th ed.). Wiley.
Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). SAGE Publications.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning.
Kline, R. B. (2015). Principles and Practice of Structural Equation Modeling (4th ed.). Guilford Press.
Kumar, R. (2019). Research Methodology A Step-by-Step Guide for Beginners (5th ed.). SAGE Publications.
Malhotra, N. K. (2010). Marketing Research An Applied Orientation (6th ed.). Pearson Education.
Pallant, J. (2020). SPSS Survival Manual A Step by Step Guide to Data Analysis Using IBM SPSS (7th ed.). Routledge.
Saunders, M., Lewis, P., & Thornhill, A. (2019). Research Methods for Business Students (8th ed.). Pearson Education.
Seet, C. C., Pasupuleti, J., & Khan, M. R. B. (2019). Optimal placement and sizing of distributed generation in distribution system using analytical method. International Journal of Recent Technology and Engineering, 8(4), 6357-6363. https://doi.org/10.35940/ijrte.D5120.118419
Sekaran, U., & Bougie, R. (2016). Research Methods for Business A Skill-Building Approach (7th ed.). Wiley.
Taro, Y. (1967). Statistics An Introductory Analysis (2nd ed.). Harper & Row.
Trochim, W. M., & Donnelly, J. P. (2008). The Research Methods Knowledge Base (3rd ed.). Atomic Dog/Cengage Learning.
Van Der Stede, W. A., Young, S. M., & Chen, C. X. (2005). Assessing the quality of evidence in empirical management accounting research The case of survey studies. Accounting, Organizations and Society, 30(7-8), 655-684.
Zahraoui, Y., Alhamrouni, I., Mekhilef, S. and Khan, M.R.B., 2022. Machine learning algorithms used for short-term PV solar irradiation and temperature forecasting at microgrid. In Applications of AI and IOT in Renewable Energy (pp. 1-17). Academic Press https://doi.org/10.1016 /B978-0-323-91699-8.00001-2
Zikmund, W. G., Babin, B. J., Carr, J. C., & Griffin, M. (2013). Business Research Methods (9th ed.). Cengage Learning.
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