Revolutionizing Collaboration: HoloSync 5G's Real-Time Holographic Magic
The HoloSync 5G Hybrid Model represents a groundbreaking solution for real-time holographic communication, integrating 5G infrastructure, advanced machine learning techniques, and dynamic compression algorithms. This model designed to address the challenges of high latency, bandwidth constraints, an...
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| Published in: | 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI) pp. 1 - 6 |
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| Main Authors: | , , , , , |
| Format: | Conference Proceeding |
| Language: | English |
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IEEE
28.03.2025
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| Abstract | The HoloSync 5G Hybrid Model represents a groundbreaking solution for real-time holographic communication, integrating 5G infrastructure, advanced machine learning techniques, and dynamic compression algorithms. This model designed to address the challenges of high latency, bandwidth constraints, and rendering inconsistencies in global remote collaboration. The system leverages Multi-Access Edge Computing (MEC) for low-latency data processing, while adaptive encoding and decoding ensure seamless data transmission. Experimental results demonstrate a 44% reduction in latency and a 41% improvement in bandwidth utilization compared to baseline systems. Rendering fidelity significantly enhanced, with a 9.41% increase in SSIM (0.93) and 11.78% improvement in PSNR (42.7 dB). User satisfaction ratings average 4.8/5, reflecting the intuitive design and clarity of the holographic experience. Scalability testing confirmed consistent performance, even in sessions with up to 50 users. These results validate the HoloSync model as a robust and efficient platform for applications such as telemedicine, remote education, and industrial collaboration. The study concludes with promising insights into the potential of hybrid intelligence and 5G advancements to redefine real-time holographic communication. |
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| AbstractList | The HoloSync 5G Hybrid Model represents a groundbreaking solution for real-time holographic communication, integrating 5G infrastructure, advanced machine learning techniques, and dynamic compression algorithms. This model designed to address the challenges of high latency, bandwidth constraints, and rendering inconsistencies in global remote collaboration. The system leverages Multi-Access Edge Computing (MEC) for low-latency data processing, while adaptive encoding and decoding ensure seamless data transmission. Experimental results demonstrate a 44% reduction in latency and a 41% improvement in bandwidth utilization compared to baseline systems. Rendering fidelity significantly enhanced, with a 9.41% increase in SSIM (0.93) and 11.78% improvement in PSNR (42.7 dB). User satisfaction ratings average 4.8/5, reflecting the intuitive design and clarity of the holographic experience. Scalability testing confirmed consistent performance, even in sessions with up to 50 users. These results validate the HoloSync model as a robust and efficient platform for applications such as telemedicine, remote education, and industrial collaboration. The study concludes with promising insights into the potential of hybrid intelligence and 5G advancements to redefine real-time holographic communication. |
| Author | Ramesh, R Jadhav, Rahul Jalinder Sekhar, G Chandra Devghare, Khushal R, Aarthi Devi, Laiphrakpam Jibanpriya |
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| SubjectTerms | 5G mobile communication 5G Network Adaptation models Adaptive Compression Adaptive systems Bandwidth Bandwidth Optimization Collaboration Computational modeling HoloSync Low-Latency Communication Machine Learning Multi-access edge computing Real-Time Holographic Communication Real-time systems Rendering (computer graphics) Rendering Fidelity Scalability |
| Title | Revolutionizing Collaboration: HoloSync 5G's Real-Time Holographic Magic |
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