Deep deterministic policy gradient (DDPG)-based resource allocation scheme for NOMA vehicular communications
YH Xu, CC Yang, M Hua, W Zhou - IEEE Access, 2020 - ieeexplore.ieee.org
This paper investigates the resource allocation problem in vehicular communications based
on multi-agent Deep Deterministic Policy Gradient (DDPG), in which each Vehicle-to …
on multi-agent Deep Deterministic Policy Gradient (DDPG), in which each Vehicle-to …
Deep reinforcement learning-based multidimensional resource management for energy harvesting cognitive NOMA communications
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 …
multiple access (NOMA) is a promising solution to improve energy efficiency and spectral …
Resource allocation for energy-efficient MEC in NOMA-enabled massive IoT networks
Integrating mobile edge computing (MEC) into the Internet of Things (IoT) enables the IoT
devices of limited computation capabilities and energy to offload their computation-intensive …
devices of limited computation capabilities and energy to offload their computation-intensive …
Resource allocation for hybrid NOMA MEC offloading
Non-orthogonal multiple access (NOMA) and mobile edge computing (MEC) have been
recognized as promising technologies for the beyond fifth generation networks to achieve …
recognized as promising technologies for the beyond fifth generation networks to achieve …
Energy efficient dynamic resource optimization in NOMA system
Non-orthogonal multiple access (NOMA) with successive interference cancellation (SIC) is a
promising technique for next generation wireless communications. Using NOMA, more than …
promising technique for next generation wireless communications. Using NOMA, more than …
Low-complexity power allocation in NOMA systems with imperfect SIC for maximizing weighted sum-rate
X Wang, R Chen, Y Xu, Q Meng - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, we investigate the power allocation for maximizing weighted sum rate (WSR)
in downlink multiple carriers non-orthogonal multiple access (MC-NOMA) systems with …
in downlink multiple carriers non-orthogonal multiple access (MC-NOMA) systems with …
Stackelberg game of energy consumption and latency in MEC systems with NOMA
In this article, a two-user scenario of a non-orthogonal multiple access (NOMA)-based
mobile edge computing (MEC) network is investigated. By treating the users and the MEC …
mobile edge computing (MEC) network is investigated. By treating the users and the MEC …
Spectral efficiency optimization for next generation NOMA-enabled IoT networks
Non-orthogonal multiple access (NOMA) is a rapidly emerging paradigm with the capability
to improve the spectral efficiency of data-driven, intelligence inspired, and highly digitized …
to improve the spectral efficiency of data-driven, intelligence inspired, and highly digitized …
Resource allocation for uplink NOMA-based D2D communication in energy harvesting scenario: A two-stage game approach
R Li, P Hong, K Xue, M Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Energy harvesting (EH) endows device-to-device (D2D) communication and cellular
equipment with the ability of continuous communication to provide internet-of-things (IoT) …
equipment with the ability of continuous communication to provide internet-of-things (IoT) …
Multi-UAV trajectory control, resource allocation, and NOMA user pairing for uplink energy minimization
In this work, we study the joint optimization of multiple unmanned aerial vehicles
(UAVs)'trajectories, power allocation, user-UAV association, and user pairing for UAV …
(UAVs)'trajectories, power allocation, user-UAV association, and user pairing for UAV …