Joint Power Allocation and Hybrid Beamforming of mmWave NOMA Systems Using DDPG
A Soofinezhadmoghaddam… - IEEE Communications …, 2024 - ieeexplore.ieee.org
… Abstract—Joint Hybrid Beamforming (HBF) and Power Allocation (PA) in mmWave … (NOMA)
systems are investigated in this letter. We consider downlink mmWave NOMA systems, in …
systems are investigated in this letter. We consider downlink mmWave NOMA systems, in …
[HTML][HTML] Joint resource allocation for hybrid NOMA-assisted MEC in 6G networks
… We study the integration of the MEC with the NOMA to improve the computation service for
the … energy consumption of a hybrid NOMA-assisted MEC system. In a hybrid NOMA system, a …
the … energy consumption of a hybrid NOMA-assisted MEC system. In a hybrid NOMA system, a …
Resource allocation for NOMA based heterogeneous IoT with imperfect SIC: A deep learning method
… make the scheme converge optimally with hybrid QoS targets and subchannel conditions as
… of the perfect SIC based NOMA, imperfect SIC based NOMA and the OFDMA schemes. In …
… of the perfect SIC based NOMA, imperfect SIC based NOMA and the OFDMA schemes. In …
On the performance of laser-powered UAV-assisted SWIPT enabled multiuser communication network with hybrid NOMA
… for hybrid NOMA in UAV-aided systems. Therefore, intending to extract the advantages of both
OMA and NOMA, in this work we propose the use of hybrid NOMA … of either NOMA or OMA …
OMA and NOMA, in this work we propose the use of hybrid NOMA … of either NOMA or OMA …
Adaptive Q-Learning Trajectory Optimization for the Hybrid NOMA and OMA Assisted UAV Communications Network
S Feng, Y Zhang, K Liu, B Li - … on Internet of Things, Communication and …, 2023 - Springer
… Against this background, in this paper, we conceive a hybrid NOMA and OMA scheme for
the UAV communications network to support multiple users, where an adaptive Q-learning …
the UAV communications network to support multiple users, where an adaptive Q-learning …
Multi-agent deep reinforcement learning for energy-efficient UAV-aided hybrid NOMA data collection
… solve trajectory design and communication optimization in multi… the benefits of using hybrid
NOMA for resource allocation … , in which UAVs employ a hybrid NOMA strategy to collect data …
NOMA for resource allocation … , in which UAVs employ a hybrid NOMA strategy to collect data …
User pairing for delay-limited NOMA-based satellite networks with deep reinforcement learning
Q Zhang, K An, X Yan, H Xi, Y Wang - Sensors, 2023 - mdpi.com
… users can simultaneously communicate with multiple users/a … The authors in [21] proposed
a Q-learning NOMA-based … and RL algorithms in a hybrid satellite–terrestrial network to …
a Q-learning NOMA-based … and RL algorithms in a hybrid satellite–terrestrial network to …
Deep cognitive perspective: Resource allocation for NOMA-based heterogeneous IoT with imperfect SIC
… learning has been a promising technology for optimizing the system performance of wireless
communication … the scheme converge optimally with hybrid QoS targets and subchannel …
communication … the scheme converge optimally with hybrid QoS targets and subchannel …
A Hybrid Optimization and Deep RL Approach for Resource Allocation in Semi-GF NOMA Networks
… the learning … learning-based resource allocation designs maximizing EE while guaranteeing
heterogeneous requirements relating to various communication services in semi-GF NOMA …
heterogeneous requirements relating to various communication services in semi-GF NOMA …
Hybrid beamformer exploiting multistream per user transmission for millimeter-wave noma communications
… hybrid beamforming (HBF) for a millimeterwave non-orthogonal multiple access (NOMA) …
Results obtained from the simulation exhibit that HBF-NOMA attain superior sum-rate than …
Results obtained from the simulation exhibit that HBF-NOMA attain superior sum-rate than …