Deep learning-based user activity detection and channel estimation in grant-free NOMA

H Yu, Z Fei, Z Zheng, N Ye… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… To evaluate the performance of UAD, we consider two detection failure scenarios, namely,
false alarm (FA) and missed detection (MD). Then, we define PMD as the probability of active …

Q2A-NOMA: A Q-learning-based QoS-aware NOMA system design for diverse data rate requirements

MW Akhtar, SA Hassan, A Mahmood… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
… SIMULATION ENVIRONMENT AND EVALUATION We evaluate the proposed Q2A-NOMA
scheme by simulations and comparing the results with conventional approaches. …

Priority-based joint resource allocation with deep Q-learning for heterogeneous NOMA systems

S Rezwan, W Choi - IEEE Access, 2021 - ieeexplore.ieee.org
… heterogeneous NOMA system considering the key constraints and services of 5G networks.
… By contrast, we consider ±30% CSI error to evaluate the performance of the aforementioned …

Enhancing PHY-security of FD-enabled NOMA systems using jamming and user selection: Performance analysis and DNN evaluation

K Shim, TN Do, TV Nguyen… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
NOMA) system in the presence of an active eavesdropper. To this end, we propose a full-duplex
(FD)enabled NOMA … a deep neural network (DNN) model for SOP evaluation. Numerical …

Deep learning based power allocation schemes in NOMA systems: A review

Z Elsaraf, FA Khan, QZ Ahmed - 2021 26th International …, 2021 - ieeexplore.ieee.org
… (OMA) and compared with its NOMA counterpart where it is shown that the NOMA version
has the superior performance. The user sum rate is evaluated through different types of user …

A deep learning-based approach for cell outage compensation in NOMA networks

E Vaezpour, L Majzoobi, M Akbari… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
… access (NOMA) for improving the throughput of cell edge users, we propose a newly
NOMA-… Section VII demonstrates the evaluation of the proposed scheme, and conclusions are …

Efficient user clustering using a low-complexity artificial neural network (ANN) for 5G NOMA systems

SP Kumaresan, CK Tan, YH Ng - IEEE Access, 2020 - ieeexplore.ieee.org
… on the power-domain NOMA technique for a downlink 5G network where a distinct power is
… -domain NOMA has been evaluated in [11] where the user grouping problem in NOMA has …

State of the art, taxonomy, and open issues on cognitive radio networks with NOMA

F Zhou, Y Wu, YC Liang, Z Li, Y Wang… - IEEE Wireless …, 2018 - ieeexplore.ieee.org
… CR and NOMA are envisioned to be important solutions for fifth generation wireless networks.
Integrating NOMA techniques into CRNs has tremendous potential to improve spectral …

[HTML][HTML] Deep learning enhanced NOMA system: A survey on future scope and challenges

V Andiappan, V Ponnusamy - Wireless Personal Communications, 2022 - Springer
… activities of Deep Learning aided NOMA system. Also we present the applications of Deep
Learning in other wireless technologies. … The evaluation summary is given in Table. 4. …

Transmit power pool design for grant-free NOMA-IoT networks via deep reinforcement learning

M Fayaz, W Yi, Y Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… In this paper, we propose a multi-agent deep Q network (DQN) and double DQN (DDQN)
based GF-NOMA algorithm for prototype power … We evaluate the performance of our proposed …