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

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.