NOMA and future 5G & B5G wireless networks: A paradigm
For the last few decades, wireless communication has been facing a technological
revolution. High data rate and continuous connectivity are the necessities because the …
revolution. High data rate and continuous connectivity are the necessities because the …
Priority-based joint resource allocation with deep Q-learning for heterogeneous NOMA systems
For heterogeneous demands in fifth-generation (5G) new radio (NR), a massive machine
type communication (mMTC), enhanced mobile broadband (eMBB), and ultra-reliable and …
type communication (mMTC), enhanced mobile broadband (eMBB), and ultra-reliable and …
[HTML][HTML] Towards intelligent user clustering techniques for non-orthogonal multiple access: a survey
SM Hamedoon, JN Chattha, M Bilal - EURASIP Journal on Wireless …, 2024 - Springer
With the increasing user density of wireless networks, various user partitioning techniques or
algorithms segregate users into smaller, more manageable clusters. The benefit of user …
algorithms segregate users into smaller, more manageable clusters. The benefit of user …
Joint Power Allocation and User Fairness Optimization for Reinforcement Learning Over mmWave-NOMA Heterogeneous Networks
In this paper, the problem of joint power allocation and user fairness is investigated for an
mmWave heterogeneous network (HetNet) including hybrid non-orthogonal multiple access …
mmWave heterogeneous network (HetNet) including hybrid non-orthogonal multiple access …
An energy-efficient scheduling algorithm with SIC and power control in WSNs
H Xu, Z Qu, H Tang, J Wang, X Yuan - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
In large-scale wireless sensor networks (WSNs), spectrum efficiency and energy
consumption are two challengeable problems to be solved due to the increasing traffic …
consumption are two challengeable problems to be solved due to the increasing traffic …
Federated Deep Reinforcement Learning-Based Multi-UAV Navigation for Heterogeneous NOMA Systems
The nonorthogonal multiple access (NOMA) technique for addressing fifth-generation (5G)
new radio services is emerging as a promising technology. In contrast to the traditional …
new radio services is emerging as a promising technology. In contrast to the traditional …
Hierarchical Reinforcement Learning based Resource Allocation for RAN Slicing
As the complexity of wireless mobile networks increases significantly, artificial intelligence
(AI) and machine learning (ML) have become key enablers for radio resource management …
(AI) and machine learning (ML) have become key enablers for radio resource management …
Reinforcement Learning Based Joint Resource Allocation and User Fairness Optimization in mmWave-NOMA HetNets
In this paper, we propose heterogeneous network (HetNet) with mmWave and hybrid non-
orthogonal multiple access (NOMA) and orthogonal multiple access (OMA) transmission …
orthogonal multiple access (NOMA) and orthogonal multiple access (OMA) transmission …
Multi-objective Resource Allocation for 5G Using Hierarchical Reinforcement Learning
5G and beyond networks are expected to satisfy the challenging requirements of a variety of
vertical services and domains. In this paper, we propose a radio access network (RAN) …
vertical services and domains. In this paper, we propose a radio access network (RAN) …
Transmission power allocation method based on user clustering and reinforcement learning
Provided is a transmission power allocation method based on reinforcement learning with
an efficient user clustering method. According to an embodiment of the present disclosure, a …
an efficient user clustering method. According to an embodiment of the present disclosure, a …