A Robust Resource Allocation Method for Energy Efficient Device to Device (D2D) Communication
Research Article  ·  Published: 03 August 2025
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ICCK Transactions on Mobile and Wireless Intelligence
Volume 1, Issue 1, 2025: 32-39
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A Robust Resource Allocation Method for Energy Efficient Device to Device (D2D) Communication

1 Department of Information and Communication Engineering, Daffodil International University, Dhaka 1216, Bangladesh
2 Department of Computer Science and Engineering, Jashore University of Science and Technology, Jashore 7408, Bangladesh
* Corresponding Author: Md. Zahirul Islam, [email protected]
Volume 1, Issue 1

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.

Graphical Abstract

A Robust Resource Allocation Method for Energy Efficient Device to Device (D2D) Communication

Keywords

device-to-device (D2D) communication communication resource allocation energy efficiency interference management 5G networks heuristic scheduling proportional fairness

Data Availability Statement

The source code supporting the simulations in this study is available in a Google Drive repository at https://drive.google.com/drive/folders/1C9t3YO_DhPogYCq801F_6yBX2j_Qzkk2

Funding

This work was supported by Scientific and Technological Research Council of Turkey (TUBITAK) under Grant 124E519.

Conflicts of Interest

The authors declare no conflicts of interest.

Ethical Approval and Consent to Participate

Not applicable.

References

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Cited By (1)

  1. 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]
* Citation data provided by Crossref Cited-by.

Cite This Article

APA Style
Islam, M. Z., & Adnan, M. N. (2025). A Robust Resource Allocation Method for Energy Efficient Device to Device (D2D) Communication. ICCK Transactions on Mobile and Wireless Intelligence, 1(1), 32–39. https://doi.org/10.62762/TMWI.2025.764788
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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  - 
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Compatible with LaTeX, BibTeX, and other reference managers
@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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