Artificial Intelligence-based Fair Allocation in NOMA Technique: A Review
Non-Orthogonal Multiple Access (NOMA) is an innovation that has great potential in wireless
communication. It permits multiple users to efficiently allot a frequency band by adjusting …
communication. It permits multiple users to efficiently allot a frequency band by adjusting …
A Collaborative Multi-agent Deep Reinforcement Learning-based Wireless Power Allocation with Centralized Training and Decentralized Execution
A Kopic, E Perenda, H Gacanin - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Despite the success of Deep Reinforcement Learning (DRL) in radio-resource management
within multi-cell wireless networks, applying it to power allocation in ultra-dense 5G and …
within multi-cell wireless networks, applying it to power allocation in ultra-dense 5G and …
On Effectiveness of Exploration Strategies in Deep Reinforcement Learning for Power Allocation in Multi-Carrier Wireless Systems
A Kopic, K Turbic, H Gacanin - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
This paper presents a comprehensive study on the efficiency and effectiveness of
exploration policies for deep reinforcement (DRL) algorithms with applications to the power …
exploration policies for deep reinforcement (DRL) algorithms with applications to the power …
Energy-Efficient Transmission Strategy for Delay Tolerable Services in NOMA-Based Downlink with Two Users
M Bai, R Zhu, J Guo, F Wang, L Wang, H Zhu… - IEEE …, 2023 - ieeexplore.ieee.org
With the continuous development of the communication industry, there is a shift in real-time
services from 4G networks to Delay Tolerable (DT) services in the context of 5G/B5G …
services from 4G networks to Delay Tolerable (DT) services in the context of 5G/B5G …
Unveiling the Effects of Experience Replay on Deep Reinforcement Learning-based Power Allocation in Wireless Networks
A Kopic, E Perenda, H Gacanin - 2024 IEEE Wireless …, 2024 - ieeexplore.ieee.org
Deep reinforcement learning has emerged as a pow-erful tool for dynamic power allocation,
as it allows continuous learning and realtime responsiveness to environmental changes …
as it allows continuous learning and realtime responsiveness to environmental changes …
Joint offloading-scheduling policies for future generation wireless networks
I Djemai - 2024 - theses.hal.science
The challenges posed by the increasing number of connected devices, high energy
consumption, and environmental impact in today's and future wireless networks are gaining …
consumption, and environmental impact in today's and future wireless networks are gaining …