5G vehicular network resource management for improving radio access through machine learning
The current cellular technology and vehicular networks cannot satisfy the mighty strides of
vehicular network demands. Resource management has become a complex and …
vehicular network demands. Resource management has become a complex and …
Distributed convolutional deep reinforcement learning based OFDMA MAC for 802.11 ax
D Kotagiri, K Nihei, T Li - ICC 2021-IEEE International …, 2021 - ieeexplore.ieee.org
The IEEE 802.11 ax also known as Wi-Fi 6, incorporates multi-user (MU) Orthogonal
Frequency Division Multiple Access (OFDMA) based distributed up-link communication, in …
Frequency Division Multiple Access (OFDMA) based distributed up-link communication, in …
Artificial intelligence for 5g wireless systems: Opportunities, challenges, and future research direction
The advent of the wireless communications systems augurs new cutting-edge technologies,
including self-driving vehicles, unmanned aerial systems, autonomous robots, the Internet-of …
including self-driving vehicles, unmanned aerial systems, autonomous robots, the Internet-of …
Next-slot OFDM-CSI Prediction: Multi-head Self-attention or State Space Model?
The ongoing fifth-generation (5G) standardization is exploring the use of deep learning (DL)
methods to enhance the new radio (NR) interface. Both in academia and industry …
methods to enhance the new radio (NR) interface. Both in academia and industry …
Hierarchical deep q-learning based handover in wireless networks with dual connectivity
PE Iturria-Rivera, M Elsayed, M Bavand… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
5G New Radio proposes the usage of frequencies above 10 GHz to speed up LTE's existent
maximum data rates. However, the effective size of 5G antennas and consequently its …
maximum data rates. However, the effective size of 5G antennas and consequently its …
Multi-Connectivity Mobility Management in Downlink FD-RAN: A Learning Based Approach
T Zhang, J Xue, J Zhao, J Chen… - 2023 IEEE 34th …, 2023 - ieeexplore.ieee.org
We consider a fully-decoupled radio access network (FD-RAN), where base stations (BSs)
are physically decoupled into control BSs, uplink BSs and downlink BSs, and multi …
are physically decoupled into control BSs, uplink BSs and downlink BSs, and multi …
An efficient and lightweight predictive channel assignment scheme for multiband B5G-enabled massive IoT: A deep learning approach
Multihop device-to-device (D2D)-enabled relay networks are envisaged to be utilized by the
Internet of Things (IoT) and massive machine-type communication (mMTC) traffic for the …
Internet of Things (IoT) and massive machine-type communication (mMTC) traffic for the …
imnet: Intelligent rat selection framework for 5g enabled iomt network
B Priya, J Malhotra - Wireless Personal Communications, 2023 - Springer
The COVID-19 outburst has encouraged the adoption of Internet of Medical Things (IoMT)
network to empower the antiquated healthcare system and alleviate the health care costs …
network to empower the antiquated healthcare system and alleviate the health care costs …
[PDF][PDF] Reinforcement Learning-based Methods for Wireless Access Optimization and Multi-Interface Connectivity
DTH Ly - 2022 - ir.soken.ac.jp
Recently, 5G wireless networks introduced three new use cases: Enhanced Mobile
Broadband (eMBB) for high data rate transmissions, Ultra-Reliable Low Latency …
Broadband (eMBB) for high data rate transmissions, Ultra-Reliable Low Latency …
Software–defined end–to–end evaluation platform for quality of service in non–standalone 5G systems
K Heimann, P Gorczak, C Bektas… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
The fifth generation of mobile communication (5G) will support a much broader spectrum of
quality of service (QoS) profiles than its predecessor long-term evolution (LTE). These …
quality of service (QoS) profiles than its predecessor long-term evolution (LTE). These …