NSTL国家科技图书文献中心

1. Toward Intelligent Non-Terrestrial Networks Through Symbiotic Radio: A Collaborative Deep Reinforcement Learning Scheme NSTL国家科技图书文献中心

Yang Cao | Shao-Yu Lien ... - 《IEEE Network》 - 2025,39(1) - 211～219 - 共9页

摘要：With the merit of global coverage, non-terrestrial networks (NTNs) with low-earth-orbit (LEO) satellite constellations have been regarded as a promising innovation to support ubiquitous connectivity. ...

关键词： Low earth orbit satellites | Satellite broadcasting | Collaboration | Symbiosis | Optimization | Task analysis | Payloads

2. Optimum splitting computing for DNN training through next generation smart networks: a multi-tier deep reinforcement learning approach NSTL国家科技图书文献中心

Shao-Yu Lien | Cheng-Hao Yeh ... - 《Wireless networks》 - 2024,30(3) - 1737～1751 - 共15页 - 被引量：1

摘要：Abstract Deep neural networks (DNNs) involving massive neural nodes grouped into different neural layers have been a promising innovation for function approximation and inference, which have been wide...

关键词： Deep neural networks (DNNs) | Deep reinforcement learning (DRL) | Split computing | Sixth generation (6?G) Networks

3. Deep Learning-Based Handover Management to Steer Traffic in the 6G Intelligent Networks NSTL国家科技图书文献中心

Yu-Han Huang | Shao-Yu Lien ... - 《2024 33rd Wireless and Optical Communications Conference》 - Wireless and Optical Communications Conference - 2024, - 198～203 - 共6页

摘要：Handover (HO) User Equipments (UEs) among base stations (BSs) intelligently has become one of the important approaches for traffic steering. Performance degradation is inevitable in conventional HO de...

关键词： 6G mobile communication | Training | Measurement | Degradation | Intelligent networks | Simulation | Artificial neural networks | Handover | Throughput | Feature extraction

4. Learning-Based Multitier Split Computing for Efficient Convergence of Communication and Computation NSTL国家科技图书文献中心

Yang Cao | Shao-Yu Lien ... - 《IEEE internet of things journal》 - 2024,11(20) - 33077～33096 - 共20页

摘要：With promising benefits of splitting deep neural network (DNN) computation loads to the edge server, split computing has been a novel paradigm achieving high-quality artificial intelligence (AI) servi...

关键词： Servers | Training | Computational modeling | Task analysis | Accuracy | Optimization | Decision making

5. Intelligent Session Management for URLLC in 5G Open Radio Access Network: A Deep Reinforcement Learning Approach EI 工程索引 NSTL国家科技图书文献中心

Shao-Yu Lien | Der-Jiunn Deng - 《IEEE transactions on industrial informatics》 - 2023,19(2) - 1844～1853 - 共10页 - 被引量：5

摘要：To sustain ultra-reliable and low latency communication for the fifth generation (5G) networks, the latency of data forwarding over the core network is conventionally ignored. To significantly reduce ...

关键词： Quality of service | 5G mobile communication | Ultra reliable low latency communication | Informatics | Computer architecture | Q-learning | Neural networks

6. Enabling Resilient Access Equality for 6G LEO Satellite Swarm Networks NSTL国家科技图书文献中心

Shih-Chun Lin | Chia-Hung Lin ... - 《IEEE Internet of Things Magazine》 - 2023,6(3) - 38～43 - 共6页 - 被引量：2

摘要：Low earth orbit (LEO) mega-constellations, integrating government space systems and commercial practices, become enabling technologies for the sixth generation (6G) networks due to their excellent mer...

关键词： 6G mobile communication | Space vehicles | Training | Satellites | Ecosystems | Low earth orbit satellites | Computer architecture

7. Efficient Communication-Computation Tradeoff for Split Computing: A Multi-Tier Deep Reinforcement Learning Approach NSTL国家科技图书文献中心

Yang Cao | Shao-Yu Lien ... - 《2023 IEEE Global Communications Conference: GLOBECOM 2023, Kuala Lumpur, Malaysia, 4-8 December 2023, [v.1]》 - IEEE Global Communications Conference - 2023, - 1～6 - 共6页

摘要：Splitting the computation loads of a neural network (NN) training task to multiple stations, split computing has been the most promising technology to sustain high-accuracy model for resource-constrai...

关键词： Training | Energy consumption | Computational modeling | Image edge detection | Servers | Task analysis | Optimization

8. Collaborative Deep Reinforcement Learning for Resource Optimization in Non-Terrestrial Networks NSTL国家科技图书文献中心

Yang Cao | Shao-Yu Lien ... - 《2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications: 34th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 5-8 September 2023, Toronto, ON, Canada》 - IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications - 2023, - 1～7 - 共7页

摘要：Non-terrestrial networks (NTNs) with low-earth orbit (LEO) satellites have been regarded as promising remedies to support global ubiquitous wireless services. Due to the rapid mobility of LEO satellit...

关键词： Deep learning | Satellites | Simulation | Satellite broadcasting | Low earth orbit satellites | Collaboration | Reinforcement learning

9. Adaptive Three Layer Hybrid Reconfigurable Intelligent Surface for 6G Wireless Communication: Trade-Offs and Performance NSTL国家科技图书文献中心

Rashed Hasan Ratul | Muhammad Iqbal ... - 《2023 IEEE Asia Pacific Conference on Wireless and Mobile: IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob), 10-12 October 2023, Bali, Indonesia》 - IEEE Asia Pacific Conference on Wireless and Mobile - 2023, - 232～236 - 共5页

摘要：A potential candidate technology for the development of future 6G networks has been recognized as Reconfigurable Intelligent Surface (RIS). However, due to the variation in radio link quality, traditi...

关键词： Wireless communication | 6G mobile communication | Energy consumption | Spectral efficiency | Propagation | Reconfigurable intelligent surfaces | Radio links

10. Autonomous Non-Terrestrial Base Station Deployment for Non-Terrestrial Networks: A Reinforcement Learning Approach SCIE Web of Science核心 EI 工程索引 NSTL国家科技图书文献中心

Shao-Yu Lien | Der-Jiunn Deng - 《IEEE Transactions on Vehicular Technology》 - 2022,71(10) - 10894～10909 - 共16页 - 被引量：3

摘要：Non-Terrestrial Networks (NTN) consisting of multiple space-borne and airborne non-terrestrial base stations (NT-BSs) have recently been introduced by 3GPP as a new paradigm of infrastructure to exten...

摘要：With the merit of global coverage, non-terrestrial networks (NTNs) with low-earth-orbit (LEO) satellite constellations have been regarded as a promising innovation to support ubiquitous connectivity. ...

关键词： Low earth orbit satellites | Satellite broadcasting | Collaboration | Symbiosis | Optimization | Task analysis | Payloads

摘要：Abstract Deep neural networks (DNNs) involving massive neural nodes grouped into different neural layers have been a promising innovation for function approximation and inference, which have been wide...

关键词： Deep neural networks (DNNs) | Deep reinforcement learning (DRL) | Split computing | Sixth generation (6?G) Networks

摘要：Handover (HO) User Equipments (UEs) among base stations (BSs) intelligently has become one of the important approaches for traffic steering. Performance degradation is inevitable in conventional HO de...

关键词： 6G mobile communication | Training | Measurement | Degradation | Intelligent networks | Simulation | Artificial neural networks | Handover | Throughput | Feature extraction

摘要：With promising benefits of splitting deep neural network (DNN) computation loads to the edge server, split computing has been a novel paradigm achieving high-quality artificial intelligence (AI) servi...

关键词： Servers | Training | Computational modeling | Task analysis | Accuracy | Optimization | Decision making

摘要：To sustain ultra-reliable and low latency communication for the fifth generation (5G) networks, the latency of data forwarding over the core network is conventionally ignored. To significantly reduce ...

关键词： Quality of service | 5G mobile communication | Ultra reliable low latency communication | Informatics | Computer architecture | Q-learning | Neural networks

摘要：Low earth orbit (LEO) mega-constellations, integrating government space systems and commercial practices, become enabling technologies for the sixth generation (6G) networks due to their excellent mer...

关键词： 6G mobile communication | Space vehicles | Training | Satellites | Ecosystems | Low earth orbit satellites | Computer architecture

摘要：Splitting the computation loads of a neural network (NN) training task to multiple stations, split computing has been the most promising technology to sustain high-accuracy model for resource-constrai...

关键词： Training | Energy consumption | Computational modeling | Image edge detection | Servers | Task analysis | Optimization

摘要：Non-terrestrial networks (NTNs) with low-earth orbit (LEO) satellites have been regarded as promising remedies to support global ubiquitous wireless services. Due to the rapid mobility of LEO satellit...

关键词： Deep learning | Satellites | Simulation | Satellite broadcasting | Low earth orbit satellites | Collaboration | Reinforcement learning

摘要：A potential candidate technology for the development of future 6G networks has been recognized as Reconfigurable Intelligent Surface (RIS). However, due to the variation in radio link quality, traditi...

关键词： Wireless communication | 6G mobile communication | Energy consumption | Spectral efficiency | Propagation | Reconfigurable intelligent surfaces | Radio links

摘要：Non-Terrestrial Networks (NTN) consisting of multiple space-borne and airborne non-terrestrial base stations (NT-BSs) have recently been introduced by 3GPP as a new paradigm of infrastructure to exten...

关键词： Convergence | Optimization | Complexity theory | Q-learning | Wireless communication | Vehicle dynamics | Trajectory optimization

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