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Cluster-Based Multi-User Multi-Server Caching Mechanism in Beyond 5G/6G MEC.

Rasha Samir1, Hadia El-Hennawy1, Hesham Elbadawy2

  • 1Department of Electronics and Communications, Faculty of Engineering, Ain Shams University, Cairo 11566, Egypt.

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Summary
This summary is machine-generated.

We developed a Cluster-based Multi-User Multi-Server (CMUMS) caching algorithm for edge computing. This optimizes content distribution, reducing delay and improving resource use in future mobile networks.

Keywords:
6GB5GCMUMS cachingMEC

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Area of Science:

  • Computer Science
  • Wireless Communication
  • Network Engineering

Background:

  • Wireless technologies have rapidly advanced, necessitating new standards and control mechanisms.
  • Mobile communication innovations offer enhanced value and reduced costs across various sectors.
  • Multiple-access Edge Computing (MEC) is crucial for Beyond 5G (B5G) and 6G networks, improving latency and bandwidth efficiency.

Purpose of the Study:

  • To optimize content caching and task distribution in MEC environments.
  • To address the integer optimization challenge for content caching and server allocation.
  • To enhance MEC performance for real-time service delivery.

Main Methods:

  • Development of a Cluster-based Multi-User Multi-Server (CMUMS) caching algorithm.
  • Integer optimization for selecting cached content and assigning hosting servers.
  • Modeling and simulation of the proposed caching strategy.

Main Results:

  • Achieved a higher direct hit rate for cached content.
  • Reduced indirect hit rates, minimizing content retrieval delays.
  • Significantly decreased overall time delay in MEC operations.

Conclusions:

  • The CMUMS algorithm effectively optimizes MEC content caching and task distribution.
  • The proposed model maximizes resource utilization for advanced mobile networks.
  • Implementation enables a new level of services and innovative approaches in B5G/6G.