Machine learning for user partitioning and phase shifters design in RIS-aided NOMA networks

Z Yang, Y Liu, Y Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
A novel reconfigurable intelligent surface (RIS) aided non-orthogonal multiple access
(NOMA) downlink transmission framework is proposed. We formulate a long-term stochastic …

Optimizing computation efficiency for NOMA-assisted mobile edge computing with user cooperation

B Su, Q Ni, W Yu, H Pervaiz - IEEE Transactions on Green …, 2021 - ieeexplore.ieee.org
In this article, we investigate the application of user cooperation (UC) and non-orthogonal
multiple access (NOMA) schemes for a wireless powered mobile edge computing (MEC) …

NOMA-assisted multi-access mobile edge computing: A joint optimization of computation offloading and time allocation

Y Wu, K Ni, C Zhang, LP Qian… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Multi-access mobile edge computing (MEC), which enables mobile users (MUs) to offload
their computation-workloads to the computation-servers located at the edge of cellular …

Deep reinforcement learning-based multidimensional resource management for energy harvesting cognitive NOMA communications

Z Shi, X Xie, H Lu, H Yang, J Cai… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The combination of energy harvesting (EH), cognitive radio (CR), and non-orthogonal
multiple access (NOMA) is a promising solution to improve energy efficiency and spectral …

Multi‐agent deep reinforcement learning‐based energy efficient power allocation in downlink MIMO‐NOMA systems

S Jo, C Jong, C Pak, H Ri - IET Communications, 2021 - Wiley Online Library
NOMA and MIMO are considered to be the promising technologies to meet huge access
demands and high data rate requirements of 5G wireless networks. In this paper, the power …

Energy-efficient resource scheduling for NOMA systems with imperfect channel state information

F Fang, H Zhang, J Cheng… - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) is considered as a promising technology for the
fifth generation mobile communications. Energy-efficient resource allocation scheme is …

Computation rate maximization for wireless powered mobile edge computing with NOMA

M Zeng, R Du, V Fodor… - 2019 IEEE 20th …, 2019 - ieeexplore.ieee.org
In this paper, we consider a mobile edge computing (MEC) network, that is wirelessly
powered. Each user harvests wireless energy and follows a binary computation offloading …

Mobile reconfigurable intelligent surfaces for NOMA networks: Federated learning approaches

R Zhong, X Liu, Y Liu, Y Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A novel framework of reconfigurable intelligent surfaces (RISs)-enhanced indoor wireless
networks is proposed, where an RIS mounted on the robot is invoked to enable mobility of …

Multi-antenna NOMA for computation offloading in multiuser mobile edge computing systems

F Wang, J Xu, Z Ding - IEEE Transactions on Communications, 2018 - ieeexplore.ieee.org
This paper studies a multiuser mobile edge computing (MEC) system in which one base
station (BS) serves multiple users with intensive computation tasks. We exploit the multi …

Power allocation for downlink NOMA heterogeneous networks

D Ni, L Hao, QT Tran, X Qian - IEEE Access, 2018 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) and heterogeneous network (HetNet) are two
significant and promising enabling techniques to further improve overall system …