AI models for green communications towards 6G
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
A survey of deep learning based NOMA: State of the art, key aspects, open challenges and future trends
SAH Mohsan, Y Li, AV Shvetsov, J Varela-Aldás… - Sensors, 2023 - mdpi.com
Non-Orthogonal Multiple Access (NOMA) has become a promising evolution with the
emergence of fifth-generation (5G) and Beyond-5G (B5G) rollouts. The potentials of NOMA …
emergence of fifth-generation (5G) and Beyond-5G (B5G) rollouts. The potentials of NOMA …
Evolution of NOMA toward next generation multiple access (NGMA) for 6G
Due to the explosive growth in the number of wireless devices and diverse wireless
services, such as virtual/augmented reality and Internet-of-Everything, next generation …
services, such as virtual/augmented reality and Internet-of-Everything, next generation …
Energy minimization in UAV-aided networks: Actor-critic learning for constrained scheduling optimization
In unmanned aerial vehicle (UAV) applications, the UAV's limited energy supply and storage
have triggered the development of intelligent energy-conserving scheduling solutions. In this …
have triggered the development of intelligent energy-conserving scheduling solutions. In this …
Quantum neural networks for resource allocation in wireless communications
B Narottama, SY Shin - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
This study exploits a quantum neural network (QNN) for resource allocation in wireless
communications. A QNN is presented to reduce time complexity while still maintaining …
communications. A QNN is presented to reduce time complexity while still maintaining …
Enhanced resource allocation in D2D communications with NOMA and unlicensed spectrum
Device-to-device (D2D) communications with non-orthogonal multiple access (NOMA) have
been proved in enhancing the network capacity and reducing the burden of the traditional …
been proved in enhancing the network capacity and reducing the burden of the traditional …
Deep learning enhanced NOMA system: A survey on future scope and challenges
V Andiappan, V Ponnusamy - Wireless Personal Communications, 2022 - Springer
As a key important approach for next generation communication systems, Non-Orthogonal
Multiple Access (NOMA) has made high attention in the wireless communication. NOMA …
Multiple Access (NOMA) has made high attention in the wireless communication. NOMA …
Deep learning-based NOMA system for enhancement of 5G networks: A review
RK Senapati, PJ Tanna - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
The fresh and rising demands for high-reliability and ultrahigh-capacity wireless
communication have led to extensive research into 5G communications. The wide progress …
communication have led to extensive research into 5G communications. The wide progress …
Deep learning-based power control scheme with partial channel information in overlay device-to-device communication systems
In the overlay device-to-device (D2D) communication systems, transmit power control is
critical to better manage interference, so that the sum rate is maximized. Such power control …
critical to better manage interference, so that the sum rate is maximized. Such power control …
A novel wireless resource management for the 6G-enabled high-density Internet of Things
X Shen, W Liao, Q Yin - IEEE Wireless Communications, 2022 - ieeexplore.ieee.org
The huge number of Internet of Things (IoT) devices and sudden data packets make the
process of wireless resource management in 6G networks very difficult. The design of a 6G …
process of wireless resource management in 6G networks very difficult. The design of a 6G …