过去一年中添加的文章，按日期排序
[PDF][PDF] PandORA: Automated Design and Comprehensive Evaluation of Deep Reinforcement Learning Agents for Open RAN
19 天前 - … Liang, and DI Kim, “Applications of deep reinforcement learning in … Hamdi, “Deep
reinforcement learning for radio resource allocation and management in next generation …
reinforcement learning for radio resource allocation and management in next generation …
Rendezvous of ISAC and NOMA: Progress and Prospects of Next-Generation Multiple Access
38 天前 - … hardware platform and radio resources, waveform design, resource allocation, and
… deep reinforcement learning (DRL) frameworks proposed in [8, 9] to generate a learning…
… deep reinforcement learning (DRL) frameworks proposed in [8, 9] to generate a learning…
Deep Reinforcement Learning Based Joint Allocation Scheme in a TWDM-PON-based mMIMO Fronthaul Network
66 天前 - … the heuristic radio resource allocation algorithm with the RL-based wavelength
allocation … Najjar, and PP Monteiro, “Self-adjusting DBA algorithm for next generation PONs (NG-…
allocation … Najjar, and PP Monteiro, “Self-adjusting DBA algorithm for next generation PONs (NG-…
Intelligent Network Optimisation for Beyond 5G Networks Considering Packet Drop Rate
87 天前 - … use of deep reinforcement learning and machine learning may … on resource blocks
(RBs), including radio resources, … Next Generation Network (NGN) data can be divided and …
(RBs), including radio resources, … Next Generation Network (NGN) data can be divided and …
Evolution of mobile networks architecture and optimization of radio resource management
J Saad - 2024 - theses.hal.science
93 天前 - … In fact, with the RAN evolution, the next generation NodeB (gNB) is no longer a …
preemptive scheduling approach by applying Deep Reinforcement Learning (DRL) to improve …
preemptive scheduling approach by applying Deep Reinforcement Learning (DRL) to improve …
Next-Gen Parking Facilities: Deep Learning for Face and License Plate based Access
K Balasubramanian, N Kannan… - … on Computing for …, 2024 - ieeexplore.ieee.org
113 天前 - … From the performance chart in Fig 3, Grassmann algorithm provides high level
accuracy than the existing machine learning algorithms. The proposed system provides reduce …
accuracy than the existing machine learning algorithms. The proposed system provides reduce …
Reinforcement Learning-Based Network Slicing Scheme for Optimized UE-QoS in Future Networks
120 天前 - … empower future generation networks by considering control signaling in the control
plane … We formulate a joinT UE assOciation, wiReless bandwidth allocation, sliCe formation, …
plane … We formulate a joinT UE assOciation, wiReless bandwidth allocation, sliCe formation, …
[HTML][HTML] A Federated Learning-Based Resource Allocation Scheme for Relaying-Assisted Communications in Multicellular Next Generation Network Topologies
154 天前 - … associated with radio resource management (RRM) tasks. Machine and deep learning
(ML… role of artificial intelligence (AI) and machine learning (ML) as key tools for extracting …
(ML… role of artificial intelligence (AI) and machine learning (ML) as key tools for extracting …
Next Generation Multiple Access Toward 6G
Y Liu, L Liu, Z Ding, X Shen - Next Generation Multiple Access, 2024 - Wiley Online Library
167 天前 - … radio resources are limited and the emerging requirements are quite stringent, the
realization of the above exciting vision of next-generation … ) and advanced machine learning (…
realization of the above exciting vision of next-generation … ) and advanced machine learning (…
AI/ML for next generation wireless networks
187 天前 - … This article explains the incorporation of different Machine learning … Deep
reinforcement learning may be used as a remedy to find effective answers to the radio resource …
reinforcement learning may be used as a remedy to find effective answers to the radio resource …