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Volume 13 | Issue 5 | Year 2026 | Article Id. IJECE-V13I5P118 | DOI : https://doi.org/10.14445/23488549/IJECE-V13I5P118

Dynamic Resource Allocation Methods in Hybrid Optical Satellite Networks for 5G/6G

Vasyl Voloshyn, Oleg Boyko, Mykola Madinov, Nataliia Khabiuk, Nataliia Halahan

Received Revised Accepted Published
14 Feb 2026 15 Mar 2026 18 Apr 2026 27 May 2026

Citation :

Vasyl Voloshyn, Oleg Boyko, Mykola Madinov, Nataliia Khabiuk, Nataliia Halahan, "Dynamic Resource Allocation Methods in Hybrid Optical Satellite Networks for 5G/6G," International Journal of Electronics and Communication Engineering, vol. 13, no. 5, pp. 206-223, 2026. Crossref, https://doi.org/10.14445/23488549/IJECE-V13I5P118

Abstract

The relevance of the study is determined by the need to ensure stable Quality of Service (QoS) and efficient resource use in multi-domain telecommunication systems. Current approaches do not take into account traffic dynamics, load fluctuations, and inter-domain interaction in 5/6G architecture. The aim of the study is to develop a model for dynamic resource allocation in the Satellite Quantum Channels (SQC) → Fiber Optic Cores (FOC) → 5/6G hybrid architecture based on end-to-end cognitive orchestration, taking into account inter-segment dependencies, channel parameters, and QoS requirements. The study employed the following methods: model conceptualization, model detailing, evaluation of known methods, comparative analysis, advancing hypothesis, hypothesis justification, calculation for hybrid methods, and ranking of solutions. The results of the study demonstrated the appropriateness of implementing AI-Driven End-to-End Resource Orchestration in the SQC → FOC → 5/6G multi-segment architecture. The method demonstrated the best values: E2E latency – 0.890; throughput – 0.902; packet loss rate – 0.972; channel utilization – 0.976; blocking probability – 0.893; policy robustness – 0.813. The academic novelty is the first-proposed AI-Driven End-to-End Resource Orchestration model for cognitive resource allocation in the SQC → FOC → 5/6G hybrid network, which consistently optimizes channel parameters taking into account inter-segment dependencies, Quantum Bit Error Rate (QBER), Quantum Key Distribution (QKD) throughput, Open Broadcaster Software (OBS)/ Wavelength Division Multiplexing (WDM), beamforming, and network slicing. Further research may focus on the development of cognitive cross-domain-oriented dynamic resource orchestration systems capable of providing adaptive management of spectrum, power, and time slots in hybrid communication architectures with end-to-end integration of SQC, FOC, and 5/6G domains.

Keywords

Hybrid Network, Cognitive Orchestration, Quantum Communication, Resource Efficiency, End-To-End Optimization, Qos Guarantees, Dynamic Management.

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