On Improving Traffic Management in Small Cell Network Using a Novel Uplink Caching Framework

Journal of Intelligent Communication

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On Improving Traffic Management in Small Cell Network Using a Novel Uplink Caching Framework

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https://doi.org/10.54963/jic.v4i2.1614
Sufyan, M. M. A. E., Ur Rehman, W., Al‑Asaly, M., Al‑Maamari, G. A. A., Salam, T., & Al‑Salehi, A. (2025). On Improving Traffic Management in Small Cell Network Using a Novel Uplink Caching Framework. Journal of Intelligent Communication, 4(2), 59–73. https://doi.org/10.54963/jic.v4i2.1614
Volume 4 Issue 2: September 2025
Copyright (c) 2025 Mubarak Mohammed Al Ezzi Sufyan, Waheed Ur Rehman, Mahfoudh Al‑Asaly, Ghassan A. A. Al‑Maamari, Tabinda Salam, AbdulRahman Al‑Salehi
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Authors

  • Mubarak Mohammed Al Ezzi Sufyan

    Department of Computer Information Systems, Al‑Jawf Faculty, University of Saba Region, Marib, Yemen
  • Waheed Ur Rehman

    Department of Computer Science, University of Peshawar, Peshawar 25000, Pakistan
  • Mahfoudh Al‑Asaly

    Department of Information Systems, College of Computer, Qassim University, Buraydah 51174, Saudi Arabia
  • Ghassan A. A. Al‑Maamari

    Department of Computer Information Systems, Faculty of Computer Science & IT, University of Saba Region, Marib, Yemen
  • Tabinda Salam

    Department of Computer Science, Shaheed Benazir Bhutto Women University Peshawar, Peshawar 25000, Pakistan
  • AbdulRahman Al‑Salehi

    Department of Computer Science, COMSATS University Islamabad (CUI), Islamabad Campus, Islamabad 45550, Pakistan

Received: 4 July 2025; Revised: 14 August 2025; Accepted: 17 August 2025; Published: 3 September 2025

The exponential growth of data traffic and user demand in modern communication systems has significantly increased the complexity of data streaming and management in Beyond Fifth Generation (B5G) networks. These networks face critical challenges such as network congestion, traffic load imbalance, latency, energy consumption, spectrum inefficiency, and limited storage capacity for real-time content delivery. Addressing these issues requires new architectural and conceptual approaches rather than incremental improvements to existing methods. This paper introduces a novel conceptual framework for cache-enabled uplink transmission within heterogeneous network environments comprising Macro Base Stations (MBSs), Small Cell Networks (SCNs), and mobile user devices. The proposed framework aims to optimize uplink content delivery by eliminating redundant cached data through curated content lists and employing content segmentation for distributed cache placement. The framework is organized into three interrelated components: Unified Distributed Cached Content Management at the MBS level, Content Deduplication and Segmentation at the SCN level, and Content Matchmaking at the mobile device level. Together, these components enable efficient data synchronization, enhance resource utilization, and minimize redundant data transmissions. Although this study is primarily conceptual, it establishes a strong theoretical foundation for future experimental validation. The proposed design is expected to improve traffic management efficiency, reduce energy consumption, and enhance Quality of Service (QoS) and user experience in future B5G and 6G communication environments.

Keywords:

Distributed Uplink Caching‑Enable Hierarchy Consolidation Duplication Elimination Broadcasting

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