A Robust Resource Allocation Method for Energy Efficient Device to Device (D2D) Communication
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Abstract
Device-to-Device (D2D) communication serves as a pivotal technology in the evolution of cellular networks, presenting opportunities to markedly improve spectral efficiency, minimize latency, and optimize energy consumption through direct interactions between user devices. Nonetheless, the implementation of spectrum reuse by D2D pairs presents significant interference challenges, particularly in underlay communication contexts. This paper presents a robust and energy-efficient resource allocation mechanism utilizing a polynomial-time proportional fair (PF) scheduling algorithm. The framework provides minimum rate assurances for cellular users while adaptively distributing multiple resource blocks to D2D pairs in response to fluctuating channel conditions. A greedy heuristic is utilized to address the mixed-integer nonlinear optimization problem in the context of real-time scheduling. Simulation outcomes indicate that the proposed methodology significantly enhances network throughput, decreases energy consumption, and mitigates packet loss, thereby confirming its relevance for 5G and future heterogeneous network environments.
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References
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Cited By (1)
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Duraimurugan J, Indra Gandhi K. Multiobjective Constraints‐Aware Adaptive Deep Actor–Critic Reinforcement Learning for Spectrum Management and Congestion Control for Traffic Reduction in D2D Communication.
International Journal of Communication Systems, 2026 , 39 (8).
[CrossRef]
Cite This Article
TY - JOUR AU - Islam, Md. Zahirul AU - Adnan, Md. Nasim PY - 2025 DA - 2025/08/03 TI - A Robust Resource Allocation Method for Energy Efficient Device to Device (D2D) Communication JO - ICCK Transactions on Mobile and Wireless Intelligence T2 - ICCK Transactions on Mobile and Wireless Intelligence JF - ICCK Transactions on Mobile and Wireless Intelligence VL - 1 IS - 1 SP - 32 EP - 39 DO - 10.62762/TMWI.2025.764788 UR - https://www.icck.org/article/abs/TMWI.2025.764788 KW - device-to-device (D2D) communication KW - communication KW - resource allocation KW - energy efficiency KW - interference management KW - 5G networks KW - heuristic scheduling KW - proportional fairness AB - Device-to-Device (D2D) communication serves as a pivotal technology in the evolution of cellular networks, presenting opportunities to markedly improve spectral efficiency, minimize latency, and optimize energy consumption through direct interactions between user devices. Nonetheless, the implementation of spectrum reuse by D2D pairs presents significant interference challenges, particularly in underlay communication contexts. This paper presents a robust and energy-efficient resource allocation mechanism utilizing a polynomial-time proportional fair (PF) scheduling algorithm. The framework provides minimum rate assurances for cellular users while adaptively distributing multiple resource blocks to D2D pairs in response to fluctuating channel conditions. A greedy heuristic is utilized to address the mixed-integer nonlinear optimization problem in the context of real-time scheduling. Simulation outcomes indicate that the proposed methodology significantly enhances network throughput, decreases energy consumption, and mitigates packet loss, thereby confirming its relevance for 5G and future heterogeneous network environments. SN - 3069-0692 PB - Institute of Central Computation and Knowledge LA - English ER -
@article{Islam2025A,
author = {Md. Zahirul Islam and Md. Nasim Adnan},
title = {A Robust Resource Allocation Method for Energy Efficient Device to Device (D2D) Communication},
journal = {ICCK Transactions on Mobile and Wireless Intelligence},
year = {2025},
volume = {1},
number = {1},
pages = {32-39},
doi = {10.62762/TMWI.2025.764788},
url = {https://www.icck.org/article/abs/TMWI.2025.764788},
abstract = {Device-to-Device (D2D) communication serves as a pivotal technology in the evolution of cellular networks, presenting opportunities to markedly improve spectral efficiency, minimize latency, and optimize energy consumption through direct interactions between user devices. Nonetheless, the implementation of spectrum reuse by D2D pairs presents significant interference challenges, particularly in underlay communication contexts. This paper presents a robust and energy-efficient resource allocation mechanism utilizing a polynomial-time proportional fair (PF) scheduling algorithm. The framework provides minimum rate assurances for cellular users while adaptively distributing multiple resource blocks to D2D pairs in response to fluctuating channel conditions. A greedy heuristic is utilized to address the mixed-integer nonlinear optimization problem in the context of real-time scheduling. Simulation outcomes indicate that the proposed methodology significantly enhances network throughput, decreases energy consumption, and mitigates packet loss, thereby confirming its relevance for 5G and future heterogeneous network environments.},
keywords = {device-to-device (D2D) communication, communication, resource allocation, energy efficiency, interference management, 5G networks, heuristic scheduling, proportional fairness},
issn = {3069-0692},
publisher = {Institute of Central Computation and Knowledge}
}
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