Citation

Syukri, Nur Anisya Anis Binti and Thiagarajah, Siva Priya and Dwijaksara, Made Harta and Sarker, Md Tanjil and Sadeque, Md. Golam (2025) Next-Gen Green HetNets: A Dual Connectivity Approach To Optimized Capacity and Power Management in 5G-NR/4G-LTE. Wireless Personal Communications. p. 27. ISSN 0929-6212

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Abstract

The evolution of fifth-generation New Radio (5G-NR) networks has introduced Dual Connectivity (DC) as a powerful feature, enhancing network capacity by allowing simultaneous connectivity to multiple Radio Access Technologies (RATs), namely 5G-NR and fourth-generation LTE (4G-LTE). This study addresses a persistent challenge in DC-enabled heterogeneous networks (HetNets): optimizing power consumption while maximizing network capacity. Unlike prior works, which focused solely on either power or capacity optimization, this research pioneers a balanced approach for Non-Standalone (NSA) deployment, utilizing a novel base station (BS) pairing strategy to manage Next Generation NodeB (gNB) sleep cycles. Two innovative algorithms, the Super Greedy Algorithm and ILP-Greedy Algorithm, are introduced to refine power savings while boosting user throughput. ILP-Greedy leverages Integer Linear Programming for power minimization, augmented by a greedy approach for user association, demonstrating a 7.02% improvement in power conservation over standard benchmarks. Meanwhile, the Super Greedy Algorithm outperforms baseline models in both power savings and capacity gains, setting new standards for sustainable DC deployment in 5G-NR/4G-LTE NSA HetNets. This work’s insights advance green networking strategies crucial for next-gen wireless systems.

Item Type:	Article
Uncontrolled Keywords:	5G, green network
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User:	Nurin Syazwani Azmi
Date Deposited:	06 Nov 2025 03:25
Last Modified:	07 Nov 2025 04:58
URII:	http://shdl.mmu.edu.my/id/eprint/14707

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