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Optimal Resource Management and Binary Power Control in Network-Assisted D2D Communications for Higher Frequency

Devarani Devi Ningombam1, Seokjoo Shin2

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This study introduces a new network architecture for device-to-device (D2D) communications to improve quality of service (QoS) by reducing interference. A greedy algorithm and power control scheme significantly boost system throughput with lower computational complexity.

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binary power control schemedevice-to-device communicationsfractional frequency reusegreedy heuristic search algorithminterferencequality of serviceuplink resource management

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Area of Science:

  • Wireless communication networks
  • Resource management in cellular systems
  • Interference mitigation techniques

Background:

  • Device-to-device (D2D) communications offer enhanced Quality of Service (QoS) but introduce interference in cellular networks.
  • Sharing resources between D2D pairs (DPs) and cellular users (CUs) degrades overall network performance.
  • Effective resource management is crucial for integrating D2D into existing cellular infrastructures.

Purpose of the Study:

  • To propose a network architecture for uplink resource management in D2D communications underlaying cellular networks.
  • To mitigate interference between DPs and CUs, and among DPs.
  • To optimize system sum throughput while addressing computational complexity challenges.

Main Methods:

  • Development of a fractional frequency reuse (FFR) technique for interference mitigation.
  • Formulation of a sum throughput optimization problem.
  • Proposal of a greedy heuristic search algorithm to reduce computational complexity.
  • Implementation of a binary power control scheme to further reduce interference and enhance throughput.

Main Results:

  • The proposed fractional frequency reuse (FFR) technique effectively mitigates interference.
  • The greedy heuristic algorithm provides a sub-optimal solution with significantly reduced computational complexity.
  • The binary power control scheme enhances system throughput by minimizing interference.
  • Monte Carlo simulations validate substantial improvements in system throughput.

Conclusions:

  • The proposed network architecture and algorithms offer an effective solution for uplink resource management in D2D underlaying cellular networks.
  • The integration of FFR, a greedy algorithm, and binary power control leads to significant performance gains.
  • The approach achieves high system throughput and low computational complexity, making it practical for real-world deployment.