Deep Learning in the Ubiquitous Human–Computer Interactive 6G Era: Applications, Principles and Prospects

C Chen, H Zhang, J Hou, Y Zhang, H Zhang, J Dai… - Biomimetics, 2023 - mdpi.com
With the rapid development of enabling technologies like VR and AR, we human beings are
on the threshold of the ubiquitous human-centric intelligence era. 6G is believed to be an …

Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories

N Yang, S Chen, H Zhang… - … Communications Surveys & …, 2024 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) broadens the scope of computation and storage beyond the
central network, incorporating edge nodes close to end devices. This expansion facilitates …

AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business

S Kumar - Big Data Mining and Analytics, 2024 - ieeexplore.ieee.org
Open Air Interface (OAI) alliance recently introduced a new disaggregated Open Radio
Access Networks (O-RAN) framework for next generation telecommunications and networks …

Federated and online dynamic spectrum access for mobile secondary users

X Dong, Z You, X Liu, Y Guo, Y Shen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Users in dynamic spectrum access (DSA) with federated reinforcement learning (FRL)
autonomously access channels, avoiding centralized coordination and protecting users' …

Sum throughput maximization scheme for NOMA-Enabled D2D groups using deep reinforcement learning in 5G and beyond networks

MAA Khan, HM Kaidi, N Ahmad… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Device-to-device (D2D) communication underlaying cellular network is a capable system for
advancing the spectrum's efficiency. However, in this condition, D2D generates cross …

Efficient resource allocation with dynamic traffic arrivals on D2D communication for beyond 5G networks

B Papachary, R Arya, B Dappuri - Cluster Computing, 2024 - Springer
Abstract Device-to-Device (D2D) communication is an emerging technology for beyond fifth-
generation (B5G) networks to support significant features, such as spectrum efficiency, high …

[HTML][HTML] Deep reinforcement learning-based spectrum resource allocation for the web of healthcare things with massive integrating wearable gadgets

J Huang, C Yang, F Yang, S Zhang, A Tolba… - Digital Communications …, 2024 - Elsevier
With the development of the future Web of Healthcare Things (WoHT), there will be a trend of
densely deploying medical sensors with massive simultaneous online communication …

FeDRL-D2D: Federated Deep Reinforcement Learning-Empowered Resource Allocation Scheme for Energy Efficiency Maximization in D2D-Assisted 6G Networks

HMF Noman, K Dimyati, KA Noordin, E Hanafi… - IEEE …, 2024 - ieeexplore.ieee.org
Device-to-device (D2D)-assisted 6G networks are expected to support the proliferation of
ubiquitous mobile applications by enhancing system capacity and overall energy efficiency …

Multi-agent reinforcement learning based joint uplink–downlink subcarrier assignment and power allocation for D2D underlay networks

C Kai, X Meng, L Mei, W Huang - Wireless Networks, 2023 - Springer
This paper investigates the joint uplink–downlink resource allocation in time-varying device-
to-device (D2D) underlay wireless cellular networks. Specifically, we formulate the joint …

Coalition Formation-Based Sub-Channel Allocation in Full-Duplex-Enabled mmWave IABN With D2D

Z Ma, Y Wang, Z Wang, G Han, Z Hao… - IEEE/ACM Transactions …, 2024 - ieeexplore.ieee.org
One of the key techniques for future wireless network is full-duplex-enabled millimeter wave
integrated access and backhaul network underlaying device-to-device communication …