过去一年中添加的文章，按日期排序
At the Dawn of Generative AI Era: A Tutorial-cum-Survey On New Frontiers in 6G Wireless Intelligence
A Celik, AM Eltawil - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
11 天前 - … ABSTRACT As we transition from the 5G epoch, a new … suggesting machine learning
(ML) and artificial intelligence … Generative Adversarial Network (GAN)-based approach that …
(ML) and artificial intelligence … Generative Adversarial Network (GAN)-based approach that …
ON APPLICATIONS OF MACHINE LEARNING IN IRS NOMA ARCHITECTURES FOR 5G AND BEYOND
MJ SHEHAB - 2024 - qspace.qu.edu.qa
12 天前 - … (ML) is seen as a crucial tool to address these challenges. Moreover, the utilization
of … ML-based methods for 5G and beyond (B5G) wireless communication systems that use …
of … ML-based methods for 5G and beyond (B5G) wireless communication systems that use …
Intelligent Signal Identification of NOMA Signal with 256-QAM Modulation Using SVM Algorithm
18 天前 - … methods often struggle with the interference between these signals, leading to
degraded performance. In this study, SVM, a machine learning … in the era of 5G and beyond. …
degraded performance. In this study, SVM, a machine learning … in the era of 5G and beyond. …
[HTML][HTML] Exploring Computing Paradigms for Electric Vehicles: From Cloud to Edge Intelligence, Challenges and Future Directions
21 天前 - … The adaption of technologies such as IoT, edge intelligence, 5G, and blockchain in
… like newly added exhaustive machine learning tasks. Benchmarking methods must rapidly …
… like newly added exhaustive machine learning tasks. Benchmarking methods must rapidly …
[HTML][HTML] Emerging Trends and Challenges in IoT Networks
H Park, S Park - Electronics, 2024 - mdpi.com
21 天前 - … KL divergence and the machine learning approach OneClassSVM, were adopted.
This study led to the … [10] demonstrated a 58.16% latency reduction in a 5G environment. This …
This study led to the … [10] demonstrated a 58.16% latency reduction in a 5G environment. This …
[HTML][HTML] Sustainable Power Prediction and Demand for Hyperscale Datacenters in India
A Pomnar, AS Rajawat, NS Tatkar… - Engineering …, 2023 - mdpi.com
51 天前 - … The launch of 5G services, digital payments, big data … Tier classification system
offers a standardized approach for … DevCloud, machine learning (ML), and artificial intelligence (…
offers a standardized approach for … DevCloud, machine learning (ML), and artificial intelligence (…
[PDF][PDF] Efficient network management and security in 5G enabled internet of things using deep learning algorithms
SNP Thippeswamy, AP Raghavan… - … Journal of Electrical …, 2024 - researchgate.net
52 天前 - … machine learning (ML) and deep learning (DL) techniques for addressing security
and various other problems in 5G IoT… methods and deep learning models to prioritize network …
and various other problems in 5G IoT… methods and deep learning models to prioritize network …
[PDF][PDF] Integrating Deep Reinforcement Learning in 6G Edge Environments: Towards Intelligent Network Optimization
R Raftopoulos - iris.unict.it
59 天前 - … key missing elements in 5G networks and will most likely … garnered from DRL
problems to approach a system made up … survey various DRL approaches and their integration in …
problems to approach a system made up … survey various DRL approaches and their integration in …
Unlocking the power of recalling enhanced recurrent neural network: channel estimation and data analysis for 5G MIMO communication system
63 天前 - … Basically, the main problems with MIMO OFDM systems are noise and interference.
MIMO-… approach and CE based on deep learning approach to address these problems. …
MIMO-… approach and CE based on deep learning approach to address these problems. …
Hydra-RAN Perceptual Networks Architecture: Dual-Functional Communications and Sensing Networks for 6G and Beyond
RI Abd, KS Kim, DJ Findley - IEEE Access, 2023 - ieeexplore.ieee.org
66 天前 - … predominant methods for solving data analysis problems … Thus, it seems 5G
networks are far from meeting the … images, and deep reinforcement learning are used to deter…
networks are far from meeting the … images, and deep reinforcement learning are used to deter…