Academic Journal
Next-Generation 6G Network Architecture with Integrated Edge and Quantum Computing Support.
| Title: | Next-Generation 6G Network Architecture with Integrated Edge and Quantum Computing Support. |
|---|---|
| Authors: | Abdulhussein, Esraa Muneam1 (AUTHOR) esraaa.bdahussain@atu.edu.iq |
| Source: | Journal Européen des Systèmes Automatisés. May2026, Vol. 59 Issue 5, p1247-1261. 15p. |
| Subject Terms: | 6G networks, Edge computing, Signal processing, Computer simulation, Quantum computing, Quantum cryptography, High performance computing, Energy consumption |
| Abstract: | Wireless networks in the future will need latencies below 1 ms, data rates of one trillion bits per second, and densities with 10 s of thousands of devices/km². The 5G architecture as of now contains several bottlenecks as far as processing delay, authentications and efficiency in allocated resources are concerned. This paper proposes an innovative architecture for 6G networks, integrating multi-access edge computing (MEC) and key features from quantum computing technology. The framework was tested through NS-3 simulations with the Qiskit quantum programming environment at the University of Baghdad by running an Analysis of Variance (ANOVA) test with a degree of complexity equal to 1,000 simulations per scenario. The proof-of-concept results indicate substantial improvements over the current 5G state-of-the-art. Latency improvement of 67% from 2.7 ms (5G baseline) to 0.89 ms (95% CI: [0.84-0.94] ms). The 99th-percentile latency was 1.2 ms. Throughput enhancement of 254% over 5G baseline with peak aggregate throughput of 1.24 Tbps (95% CI: [1.19-1.29] Tbps) and 94.3% slice resource utilization efficiency. Efficiency in Energy Usage: The energy usage is improved by 161% of baseline consumption, achieving 847 Gb/J (95% CI: [831-863] Gb/J), while also showing a 17% reduction in the absolute peak power consumption in comparison to conventional 6G. Security quantum key distribution (QKD) gate fidelity is 99.5% with quantum bit error rate < 2%. It adds only 3.2% computational overhead w.r.t. classical security. The node resources utilization of edge is improved by 67% with the help of the quantum-enhanced algorithms with 91.4% average utilization along with 95% confidence interval [90.1-92.7]%. All performance enhancements are statistically meaningful (p < 0.001, Cohen's d > 0.8, 1,000 independent simulation runs per scenario). The NS-3 simulation results verified against benchmarks on IBM Quantum hardware showed the technical feasibility of integrated edge-quantum 6G architectures for provisioning in resource-limited emerging markets. [ABSTRACT FROM AUTHOR] |
| Database: | Supplemental Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edo DbLabel: Supplemental Index An: 194977191 RelevancyScore: 1061 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1060.76245117188 |
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| Items | – Name: Title Label: Title Group: Ti Data: Next-Generation 6G Network Architecture with Integrated Edge and Quantum Computing Support. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Abdulhussein%2C+Esraa+Muneam%22">Abdulhussein, Esraa Muneam</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> esraaa.bdahussain@atu.edu.iq</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+Européen+des+Systèmes+Automatisés%22">Journal Européen des Systèmes Automatisés</searchLink>. May2026, Vol. 59 Issue 5, p1247-1261. 15p. – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%226G+networks%22">6G networks</searchLink><br /><searchLink fieldCode="DE" term="%22Edge+computing%22">Edge computing</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Quantum+computing%22">Quantum computing</searchLink><br /><searchLink fieldCode="DE" term="%22Quantum+cryptography%22">Quantum cryptography</searchLink><br /><searchLink fieldCode="DE" term="%22High+performance+computing%22">High performance computing</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Wireless networks in the future will need latencies below 1 ms, data rates of one trillion bits per second, and densities with 10 s of thousands of devices/km². The 5G architecture as of now contains several bottlenecks as far as processing delay, authentications and efficiency in allocated resources are concerned. This paper proposes an innovative architecture for 6G networks, integrating multi-access edge computing (MEC) and key features from quantum computing technology. The framework was tested through NS-3 simulations with the Qiskit quantum programming environment at the University of Baghdad by running an Analysis of Variance (ANOVA) test with a degree of complexity equal to 1,000 simulations per scenario. The proof-of-concept results indicate substantial improvements over the current 5G state-of-the-art. Latency improvement of 67% from 2.7 ms (5G baseline) to 0.89 ms (95% CI: [0.84-0.94] ms). The 99th-percentile latency was 1.2 ms. Throughput enhancement of 254% over 5G baseline with peak aggregate throughput of 1.24 Tbps (95% CI: [1.19-1.29] Tbps) and 94.3% slice resource utilization efficiency. Efficiency in Energy Usage: The energy usage is improved by 161% of baseline consumption, achieving 847 Gb/J (95% CI: [831-863] Gb/J), while also showing a 17% reduction in the absolute peak power consumption in comparison to conventional 6G. Security quantum key distribution (QKD) gate fidelity is 99.5% with quantum bit error rate < 2%. It adds only 3.2% computational overhead w.r.t. classical security. The node resources utilization of edge is improved by 67% with the help of the quantum-enhanced algorithms with 91.4% average utilization along with 95% confidence interval [90.1-92.7]%. All performance enhancements are statistically meaningful (p < 0.001, Cohen's d > 0.8, 1,000 independent simulation runs per scenario). The NS-3 simulation results verified against benchmarks on IBM Quantum hardware showed the technical feasibility of integrated edge-quantum 6G architectures for provisioning in resource-limited emerging markets. [ABSTRACT FROM AUTHOR] |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.18280/jesa.590506 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1247 Subjects: – SubjectFull: 6G networks Type: general – SubjectFull: Edge computing Type: general – SubjectFull: Signal processing Type: general – SubjectFull: Computer simulation Type: general – SubjectFull: Quantum computing Type: general – SubjectFull: Quantum cryptography Type: general – SubjectFull: High performance computing Type: general – SubjectFull: Energy consumption Type: general Titles: – TitleFull: Next-Generation 6G Network Architecture with Integrated Edge and Quantum Computing Support. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Abdulhussein, Esraa Muneam IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 12696935 Numbering: – Type: volume Value: 59 – Type: issue Value: 5 Titles: – TitleFull: Journal Européen des Systèmes Automatisés Type: main |
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