Joint resource management for MC-NOMA: A deep reinforcement learning approach
This paper presents a novel and effective deep reinforcement learning (DRL)-based
approach to addressing joint resource management (JRM) in a practical multi-carrier non …
approach to addressing joint resource management (JRM) in a practical multi-carrier non …
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 …
Deep learning based power optimizing for NOMA based relay aided D2D transmissions
The future generation of wireless communication networks demands for high spectral
efficiency to accommodate a large number of devices over the limited available frequency …
efficiency to accommodate a large number of devices over the limited available frequency …
A Q-learning-based resource allocation for downlink non-orthogonal multiple access systems considering QoS
Q Zhai, M Bolić, Y Li, W Cheng, C Liu - IEEE Access, 2021 - ieeexplore.ieee.org
As a technology that can accommodate more users and significantly improve spectral
efficiency, non-orthogonal multiple access (NOMA) has attracted the attention of many …
efficiency, non-orthogonal multiple access (NOMA) has attracted the attention of many …
Mixed-criticality industrial data scheduling on 5G NR
X Jin, Y Tian, C Xu, C Xia, D Li… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Compared to industrial wired networks, 5G can improve device mobility and reduce the cost
of networking. However, the real-time performance and reliability of 5G new radio (NR) still …
of networking. However, the real-time performance and reliability of 5G new radio (NR) still …
Completion time minimization in NOMA systems: Learning for combinatorial optimization
In this letter, we study a completion-time minimization problem by jointly optimizing time slots
(TSs) and power allocation for time-critical non-orthogonal multiple access (NOMA) systems …
(TSs) and power allocation for time-critical non-orthogonal multiple access (NOMA) systems …