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A Resource Allocation Mechanism Based on Weighted Efficiency Interference-Aware for D2D Underlaid Communication.

Jingzhao Li1, Xiaoming Zhang1, Yuan Feng1

  • 1College of Electrical and Information Engineering, Anhui University of Science and Technology (AUST), Huainan 232000, China.

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Summary

This study introduces a resource allocation mechanism for device-to-device (D2D) communication to boost cellular network performance. The proposed method enhances system throughput and spectrum utilization by optimizing D2D resource block allocation.

Keywords:
D2D communicationSINRresource allocationthroughput

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Area of Science:

  • Wireless communication
  • Telecommunications engineering
  • Network resource management

Background:

  • Device-to-device (D2D) communication offers direct connectivity to improve cellular network efficiency.
  • Optimizing resource allocation in D2D underlaid cellular networks is crucial for enhancing system throughput and spectrum utilization.

Purpose of the Study:

  • To propose a novel resource allocation mechanism for D2D underlaid cellular networks.
  • To improve system throughput and spectrum resource utilization through efficient resource block assignment.

Main Methods:

  • A resource allocation mechanism where D2D pairs reuse cellular uplink resource blocks (RBs).
  • Distributed power control for D2D pairs and clustering based on signal-to-interference-plus-noise ratio (SINR) thresholds.
  • Application of the weighted efficiency interference-aware (WE-I-A) algorithm to optimize D2D pair and RB matching.

Main Results:

  • The proposed mechanism effectively allocates resources by matching D2D pairs to RBs based on SINR weighting.
  • The WE-I-A algorithm promotes system throughput by enabling fair competition for RBs.
  • Simulation results show good system throughput performance, even with limited uplink conditions.

Conclusions:

  • The developed resource allocation mechanism and WE-I-A algorithm significantly enhance system throughput in D2D underlaid cellular networks.
  • The approach demonstrates effective spectrum utilization and performance improvement under various uplink states.