Priority-Based Adjustment and Dynamic Energy Efficient Resource Allocation Algorithm for D 2 D Communication in 5G WPAN

Abstract

This study presents the development and validation of an improved energy-efficient resource allocation algorithm for Device-to-Device (D2D) communication in 5G Wireless Personal Area Networks (WPANs). It addresses the challenge of fair and efficient resource allocation between Primary Users (PUs) and Secondary Users (SUs) in dynamic network environments. Existing models, such as the Energy-Efficient Resource Allocation Model (EERAM), tend to prioritize PUs, leaving SUs in waiting queues where allocation is based mainly on waiting time, without considering varying Quality of Service (QoS) requirements. This leads to unfair distribution, inefficient resource utilization, and reduced overall network performance. To address these limitations, the Priority-based Adjustment and Dynamic Energy-efficient Resource Allocation (PADERA) algorithm was developed. PADERA integrates a priority scoring mechanism with dynamic adjustment to allocate resources based on real-time QoS demands and waiting time, ensuring a more balanced and efficient distribution. The algorithm was evaluated against EERAM using key performance metrics, including energy, bandwidth, and power allocation. Results show that PADERA consistently outperforms EERAM. In power allocation, it achieved 96.87% at 100 signals and 91.75% at 700 signals, compared to EERAM’s 91.84% and 85.60%, with an average improvement of 6.15%. For energy allocation, PADERA ranged from 95.19% to 93.10%, slightly higher than EERAM’s 93.19% to 92.90%. In bandwidth allocation, PADERA decreased from 96.70% to 88.00% as signal load increased, while EERAM declined from 90.67% to 84.91%.