Çodur Sadrettin, Erkayman Burak, Alp Saliha Sezgin, Özenir Omar, Pamucar Dragan, Yıldız Gökhan, Gemalmaz Ali, Dikel Arsal, Simic Vladimir, Akın Hamza, Yılmaz Yüksel, Türk Yeşim, Aktaş Semih
Araklı Ali Cevat Ozyurt Vocational School, Karadeniz Technical University, 61080, Trabzon, Turkey.
Department of Industrial Engineering, Ataturk University, 25240, Erzurum, Turkey.
Heliyon. 2024 May 6;10(9):e30664. doi: 10.1016/j.heliyon.2024.e30664. eCollection 2024 May 15.
In the rapidly evolving telecommunications landscape, the shift towards advanced communication technologies marks a critical milestone. This transition promises to revolutionize connectivity by enabling seamless data downloads, high-quality video streaming, and instant access to applications. However, adapting to these advanced technologies poses significant challenges for infrastructure expansion, requiring innovative investment and deployment strategies. These strategies aim not only to enhance service quality but also to ensure extensive network coverage. To address the need for systematic planning in infrastructure investment, this paper presents a novel methodology that combines the Full Consistency Method (FUCOM) with cosine similarity analysis. This integrated approach effectively prioritizes service areas for the deployment of 5G technology, emphasizing the importance of detailed planning in mobile strategy development. By leveraging FUCOM to determine the weights of various criteria and employing cosine similarity analysis to rank service areas, the methodology facilitates efficient resource allocation and service quality enhancements. Empirical validation using real data from a Turkish telecommunications company confirmed the effectiveness of the proposed algorithm. The results indicate that this integrated approach can significantly advance the telecommunications industry by providing essential insights for companies seeking to improve service quality amidst the transition to 5G and beyond. The successful implementation of the proposed algorithm demonstrates its effectiveness in addressing the challenges faced by telecommunications companies and underscores the importance of a data-driven approach in strategic decision-making and resource allocation. Furthermore, the findings suggest that the integrated FUCOM and cosine similarity analysis approach can offer a valuable tool for telecommunications companies worldwide, offering a systematic method for prioritizing infrastructure investments and enhancing network performance.
在快速发展的电信格局中，向先进通信技术的转变标志着一个关键的里程碑。这一转变有望通过实现无缝数据下载、高质量视频流以及即时访问应用程序来彻底改变连接方式。然而，适应这些先进技术给基础设施扩展带来了重大挑战，需要创新的投资和部署策略。这些策略不仅旨在提高服务质量，还旨在确保广泛的网络覆盖。为了满足基础设施投资中系统规划的需求，本文提出了一种将完全一致性方法（FUCOM）与余弦相似度分析相结合的新颖方法。这种综合方法有效地确定了5G技术部署的服务区域优先级，强调了在移动战略制定中进行详细规划的重要性。通过利用FUCOM确定各种标准的权重，并采用余弦相似度分析对服务区域进行排名，该方法有助于高效的资源分配和服务质量提升。使用一家土耳其电信公司的真实数据进行的实证验证证实了所提算法的有效性。结果表明，这种综合方法可以通过为寻求在向5G及以后过渡过程中提高服务质量的公司提供重要见解，显著推动电信行业发展。所提算法的成功实施证明了其在应对电信公司面临的挑战方面的有效性，并强调了数据驱动方法在战略决策和资源分配中的重要性。此外，研究结果表明，FUCOM与余弦相似度分析的综合方法可以为全球电信公司提供一个有价值的工具，提供一种系统的方法来确定基础设施投资的优先级并提高网络性能。
