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The emergence of 6G networks brings forth new challenges and opportunities in wireless communication, particularly in the realm of resource allocation for Device-to-Device (D2D) communication. This paper examines 6G network resource allocation optimization methods for spectral efficiency, interference management, QoS provisioning, and compatibility with upcoming technologies. The latest resource allocation strategies include Dynamic Spectrum Management, interference mitigation, QoS-aware allocation, and machine learning-based optimization. Standardization, implementation, and upcoming applications including IoT, URLLC, and eMBB are examined in this paper. Alternative resource allocation strategies affect network performance through simulations and analysis, highlighting the necessity of efficient resource allocation in shaping 6G D2D communication networks. This study helps researchers, engineers, and politicians understand and optimize resource allocation in 6G wireless communication.

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Resource Allocation for Device-to-Device Communication Through 6G Networks

  • 会议论文

  • 发表日期：

    2025年

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  • Shams Tabrez Siddiquir,
  • Haneef Khan,
  • Mohammad Sarfaraz,
  • Malik Zaib Alam,
  • Mohammad Rafeek Khan,
  • Md Imran Alam

摘要

The emergence of 6G networks brings forth new challenges and opportunities in wireless communication, particularly in the realm of resource allocation for Device-to-Device (D2D) communication. This paper examines 6G network resource allocation optimization methods for spectral efficiency, interference management, QoS provisioning, and compatibility with upcoming technologies. The latest resource allocation strategies include Dynamic Spectrum Management, interference mitigation, QoS-aware allocation, and machine learning-based optimization. Standardization, implementation, and upcoming applications including IoT, URLLC, and eMBB are examined in this paper. Alternative resource allocation strategies affect network performance through simulations and analysis, highlighting the necessity of efficient resource allocation in shaping 6G D2D communication networks. This study helps researchers, engineers, and politicians understand and optimize resource allocation in 6G wireless communication.