Design and Development of an Energy-Efficient Algorithm for Multi- Hop D2D in 5G Heterogeneous Networks - HC-RAN Using the Enhanced Adaptive Algorithm (EAA)

Authors

  • Abhishek Malviya National Institute of Technology Raipur, India Pin-492010
  • Sudhakar Pandey National Institute of Technology Raipur, India Pin-492010
  • Amit Kumar Tiwari United Institute of Technology, Uttar Pradesh, India Pin-211010

Keywords:

Energy Efficiency, Device-to-Device (D2D) Communication, 5G Networks, Modified Derivative Algorithm, Enhanced Adaptive Algorithm (EAA), Interference Management

Abstract

In the evolving landscape of 5G Heterogeneous Cloud Radio Access Networks (HC-RAN), efficient Device-to-Device (D2D) communication is paramount. This paper presents the Enhanced Adaptive Algorithm (EAA), a novel energy-efficient solution tailored for multi-hop D2D communication in 5G HC-RAN. EAA addresses the dual challenges of maintaining high energy efficiency and robust network performance under diverse conditions. The algorithm’s core innovation lies in its dynamic interference management and balanced computational strategy. It leverages machine learning for predictive interference mitigation and employs a hybrid computational model, distributing tasks between edge devices and central servers. This approach ensures efficiency without compromising scalability. EAA’s adaptability is further enhanced by its sophisticated use of Channel State Information (CSI), incorporating real-time updates and a robust design tolerant of CSI inaccuracies. It also features scenarioaware optimization and AI-based analysis of user and traffic patterns, making it highly responsive to varying network environments. Incorporating multi-objective optimization, EAA balances energy efficiency with key network performance metrics, employing Pareto optimization techniques to navigate complex trade-offs. Its modular design and continuous learning component future-proof the algorithm, enabling easy integration with emerging technologies. Extensive simulations validate EAA’s effectiveness, showcasing notable improvements in energy efficiency and overall network performance for multi-hop D2D communication in HC-RAN. This work not only advances 5G network optimization but also lays the groundwork for future enhancements in wireless communication systems.

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References

Tehrani, M.N.; Uysal, M.; Yanikomeroglu, H. Device-to-device communication in 5G cellular networks: Challenges, solutions, and future directions. IEEE Commun. Mag. 2014, 52, 86–92.

Lin, X.; Jeffrey, A.; Amitava, G.; Rapeepat, R. An Overview on 3GPP Device-to-Device Proximity Services. IEEE Commun. Mag. 2014, 52, 40–48.

Liu, J.; Kato, N.; Ma, J.; Kadowaki, N. Device-to-Device Communication in LTE-Advanced Networks: A Survey. IEEE Commun. Surv. Tutor. 2014, 17, 1923–1940.

Wei, L.; Hu, R.Q.; Qian, Y.; Wu, G. Enable device-to-device communications underlaying cellular networks: Challenges and research aspects. IEEE Commun. Mag. 2014, 52, 90–96.

Datsika, E.; Antonopoulos, A.; Zorba, N.; Verikoukis, C. Greenco-operative device-to-device communication: A social-aware perspective. IEEE Access 2016, 4, 3697–3707.

Feng, D.; Yu, G.; Xiong, C.; Yi, Y.; Li, G.; Feng, G.; Li, S. Mode Switching for Energy-Efficient Device-to-Device Communications in Cellular Networks. IEEE Trans. Wirel. Commun. 2015, 14, 6993–7003.

Wei, L.; Hu, R.Q.; Li, Q.C.;Wu, G. Energy-efficiency of multi-hop deviceto-device communications underlaying cellular networks. In Proceedings of the 2014 IEEE International Conference on Communications (ICC), Sydney, NSW, Australia, 10–14 June 2014; pp. 5486–5491.

Wu, Y.; Wang, J.; Qian, L.; Schober, R. Optimal Power Control for Energy Efficient D2D Communication and Its Distributed Implementation. IEEE Commun. Lett. 2015, 19, 815–818

Abrol, A.; Jha, R.K. Power Optimization in 5G Networks: A Step towards GrEEn Communication. IEEE Access 2016, 4, 1355–1374.

Jiang, Y.; Liu, Q.; Zheng, F.; Gao, X.; You, X. Energy-Efficient Joint Resource Allocation and Power Control for D2D Communications. IEEE Trans. Veh. Technol. 2015, 65, 6119–6127.

Zhou, Z.; Dong, M.; Ota, K.; Wu, J.; Sato, T. Energy Efficiency and Spectral Efficiency Tradeoff in Device-to-Device (D2D) Communications. IEEE Wirel. Commun. Lett. 2014, 3, 485–488.

Hoang, T.D.; Le, L.B.; Le-Ngoc, T. Energy-efficient resource allocation for D2D communications in cellular networks. In Proceedings of the 2015 IEEE International Conference on Communications (ICC), London, UK, 8–12 June 2015; pp. 2251–2256.

Ye, Q.; Al-Shalash, M.; Caramanis, C.; Andrews, J.G. A tractable model for optimizing device-to-device communications in downlink cellular networks. In Proceedings of the 2014 IEEE International Conference on Communications (ICC), Sydney, NSW, Australia, 10–14 June 2014; pp. 2039–2044.

Shalmashi, S.; Bjornson, E.; Kountouris, M.; Sung, K.W.; Debbah, M. Energy efficiency and sum rate when massive MIMO meets device-to-device communication. In Proceedings of the 2015 IEEE International Conference on Communication Workshop (ICCW), London, UK, 8–12 June 2015; pp. 627–632.

Mahfoudhi, M.; Hamdi, M.; Zaied, M. Distributed Resource Allocation Using Iterative Combinatorial Auction for Device-to- Device Underlay Cellular Networks. In Proceedings of the 15th InternationalWireless Communications Mobile Computing Conference (IWCMC), Tangier, Morocco, 24–28 June 2019; pp. 2043–2049.

Ji, Z.; Kiani, A.K.; Qin, Z.; Ahmad, R. Power Optimization in Device-toDevice Communications: A Deep Reinforcement Learning Approach with Dynamic Reward. IEEE Wirel. Commun. Lett. 2020, 10, 508–511.

Hmila, M.; Fern´andez-Veiga, M.; Rodr´ıguez-P´erez, M.; Herrer´ıa-Alonso, S. Energy Efficient Power and Channel Allocation in Underlay Device to Multi Device Communications. IEEE Trans. Commun. 2019, 67, 5817–5832.

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Published

07.02.2024

How to Cite

Malviya, A. ., Pandey, S. ., & Tiwari, A. K. . (2024). Design and Development of an Energy-Efficient Algorithm for Multi- Hop D2D in 5G Heterogeneous Networks - HC-RAN Using the Enhanced Adaptive Algorithm (EAA). International Journal of Intelligent Systems and Applications in Engineering, 12(15s), 395 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4762

Issue

Vol. 12 No. 15s (2024)

Section

Research Article

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