Developing NOMA to next generation multiple access: Future vision and research opportunities

Y Liu, W Yi, Z Ding, X Liu, OA Dobre… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
… ) family, Non-Orthogonal Multiple Access (NOMA) has been recognized as a promising …
Sixth-Generation (6G) networks. This article focuses on applying NOMA in 6G networks, with an …

Sum-rate maximization for UAV-assisted visible light communications using NOMA: Swarm intelligence meets machine learning

QV Pham, T Huynh-The, M Alazab… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
… Second, we evaluate the sum of data rates performance of the proposed HHOPAP and
compare algorithms versus the maximum transmit power of the LED. Note that each plot below is …

Deep multi-task learning for cooperative NOMA: System design and principles

Y Lu, P Cheng, Z Chen, WH Mow, Y Li… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
… In Section II, we introduce the cooperative NOMA system model and the limitations of the
conventional scheme. In Section III, our deep cooperative NOMA and the multi-task learning

NOMA-based IoT networks: Impulsive noise effects and mitigation

B Selim, MS Alam, JVC Evangelista… - IEEE …, 2020 - ieeexplore.ieee.org
… communication engineers to evaluate the system performance and highlight the importance
of designing mitigation solutions aiming to enhance the performance of NOMA schemes in …

Adaptive reinforcement learning framework for NOMA-UAV networks

SK Mahmud, Y Liu, Y Chen… - IEEE Communications …, 2021 - ieeexplore.ieee.org
… based on network throughput and elapsed NOMA uplink cycles … a UAV enabled IoT network,
wherein NOMA is utilized for uplink. … , hence constant action evaluation is paramount for a …

Learning-assisted optimization for energy-efficient scheduling in deadline-aware NOMA systems

L Lei, L You, Q He, TX Vu, S Chatzinotas… - … and Networking, 2019 - ieeexplore.ieee.org
NOMA systems. That is, by taking into account the dynamic duration in emptying queued data
in NOMA, how … To evaluate the performance of applying NOMA in reducing energy and in …

Efficient user clustering and reinforcement learning based power allocation for NOMA systems

S Rezwan, S Shin, W Choi - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
network performance of NOMA [15]. To overcome the problem of power allocation in the
NOMA system, we have proposed a reinforcement learning-… PERFORMANCE EVALUATION

AI empowered RIS-assisted NOMA networks: Deep learning or reinforcement learning?

R Zhong, Y Liu, X Mu, Y Chen… - IEEE Journal on Selected …, 2021 - ieeexplore.ieee.org
… Therefore, we evaluate the optimality of the proposed DL and RL algorithms by comparing
their achieved sum rate under different channel conditions. In Fig. 5(b), the achieved long-…

DeepMuD: Multi-user detection for uplink grant-free NOMA IoT networks via deep learning

A Emir, F Kara, H Kaya… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
… grantfree NOMA schemes has not been evaluated yet. On the other hand, the machine learning
… Therefore, the machine learning algorithms, particularly deep learning (DL), have been …

Multi-agent reinforcement learning-based user pairing in multi-carrier NOMA systems

S Wang, T Lv, X Zhang - 2019 IEEE International Conference …, 2019 - ieeexplore.ieee.org
… This work demonstrates that the performance gain of NOMA with … network should consider
the states, actions and reward values of other agents besides its own state when evaluating