Urban wireless traffic evolution: The role of new devices and the effect of policy

Benseny, Jaume; Lähteenmäki, Jarno; Töyli, Juuso; Hämmáinen, Heikki

doi:10.1016/j.telpol.2023.102595

Cited by 2 publications

(3 citation statements)

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“…In urban regions, user mobility varies between densely and sparsely populated areas, often linked to transportation hubs, leading to imbalances in mobile network traffic 9 . Addressing these imbalances requires a flexible caching strategy that considers both spatial and temporal factors.…”

Section: Discussionmentioning

confidence: 99%

“…Consequently, a shift toward higher frequency bands such as the 26 GHz has become necessary. While this higher frequency band holds promise for increased capacity, it exhibits limited propagation distance and is better suited for compact, street-level small cells rather than large macro cells 9 , 39 . The transition from macrocells to small cells in mobile networks has become essential because of the limitations posed by full spectrum utilization in commonly used frequency bands.…”

Section: Discussionmentioning

confidence: 99%

“…Throughout the day, user traffic fluctuates, leading to pronounced differences between peak and off-peak hours 8 . The primary reason for the traffic imbalance between peak and off-peak hours is the demand for high-quality services 8 , 9 . However, enhancing the speed and performance of mobile networks poses challenges due to physical and economic constraints 2 .…”

Section: Introductionmentioning

confidence: 99%

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Examining spatiotemporal crowdsensing and caching for population-dynamic OTT content delivery

Kim,

Jang,

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Sci Rep

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This study proposes a novel spatiotemporal crowdsensing and caching (SCAC) framework to address the surging demands of urban wireless network traffic. In the context of rampant urbanization and ubiquitous digitization in cities, effective data traffic management is crucial for maintaining a dynamic urban ecosystem. Leveraging user mobility patterns and content preferences, this study formulates an offloading policy to alleviate congestion across urban areas. Our approach uses an AI-based method at the cell level, providing a practical and scalable solution that can be readily adapted to bustling metropolitan areas. The implementation of our model demonstrated its effectiveness in reflecting real-world urban dynamics, resulting in significant reductions in peak-hour traffic and robust performance across diverse urban settings. The deployment strategy initiates from densely populated transportation hubs, gradually expanding to broader urban areas. This systematic expansion adheres to a policy framework that emphasizes data privacy and sustainable urban development, ensuring alignment with societal needs and regulatory frameworks. By addressing technological efficacy and societal impact, this study enhances the understanding of urban wireless traffic management. It offers mobile network operators, policymakers, and urban planners a comprehensive strategy to harness the potential of spatiotemporal technology, thereby ensuring that cities remain dynamic, efficient, and well-prepared for the future of digital connectivity.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Examining spatiotemporal crowdsensing and caching for population-dynamic OTT content delivery

Kim,

Jang,

Choi

et al. 2024

Sci Rep

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Diversified Filtering Mechanism for Evaluation Indicators of Urban Road Renewal Schemes

Du,

Liu,

et al. 2024

Sustainability

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As global urban infrastructure renewal progresses, the urgent need for sustainability-driven urban renewal intensifies amidst resource scarcity and environmental concerns. Effective evaluation and decision making regarding urban road renewal schemes are prerequisites for their successful implementation. However, variation in the prioritization of indicators in project evaluations and the poor adaptability of existing frameworks hinder the quick assessment of diverse projects. To address this issue, this paper proposes a scheme evaluation framework with embedded renewal project features comprising four modules. Following the initial construction of a sustainability-driven evaluation system, an indicator-filtering mechanism combining the Latent Dirichlet Allocation (LDA) model with a text similarity algorithm is developed. The Entropy Weight-–TOPSIS method is then employed to derive the final optimal decision based on selected indicators. Applying the decision framework to the G15 Jialiu Widening and Reconstruction Project in Shanghai, China, indicators are reduced by 48.3%, with the optimal scheme decision consistent with the traditional Entropy Weight–TOPSIS method. The framework is robust and enhances decision efficiency, filling theoretical gaps in existing indicator-filtering mechanisms.

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Urban wireless traffic evolution: The role of new devices and the effect of policy

Cited by 2 publications

References 50 publications

Examining spatiotemporal crowdsensing and caching for population-dynamic OTT content delivery

Examining spatiotemporal crowdsensing and caching for population-dynamic OTT content delivery

Diversified Filtering Mechanism for Evaluation Indicators of Urban Road Renewal Schemes

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