A survey of rate-optimal power domain NOMA with enabling technologies of future wireless networks

O Maraqa, AS Rajasekaran… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The ambitious high data-rate applications in the envisioned future beyond fifth-generation
(B5G) wireless networks require new solutions, including the advent of more advanced …

Non-orthogonal multiple access assisted federated learning via wireless power transfer: A cost-efficient approach

Y Wu, Y Song, T Wang, L Qian… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Federated learning (FL) has been considered as a promising paradigm for enabling
distributed training/learning in many machine-learning services without revealing users' …

Efficient offloading for minimizing task computation delay of NOMA-based multiaccess edge computing

B Zhu, K Chi, J Liu, K Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multi-access edge computing (MEC) has been one promising solution to reduce the
computation delay of wireless devices. Due to the high spectrum efficiency of non …

Resource allocation for energy-efficient MEC in NOMA-enabled massive IoT networks

B Liu, C Liu, M Peng - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
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 …

[HTML][HTML] Non-orthogonal multiple access enabled mobile edge computing in 6G communications: A systematic literature review

RO Ogundokun, JB Awotunde, AL Imoize, CT Li… - Sustainability, 2023 - mdpi.com
Mobile edge computing (MEC) supported by non-orthogonal multiple access (NOMA) has
recently gained a lot of interest due to its improved ability to lessen power consumption and …

Game theory for distributed IoV task offloading with fuzzy neural network in edge computing

X Xu, Q Jiang, P Zhang, X Cao… - … on Fuzzy Systems, 2022 - ieeexplore.ieee.org
The development of the Internet of vehicles (IoV) has spawned a series of driving assistance
services (eg, collision warning), which improves the safety and intelligence of transportation …

Deep reinforcement learning-based dynamic resource management for mobile edge computing in industrial internet of things

Y Chen, Z Liu, Y Zhang, Y Wu, X Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Nowadays, driven by the rapid development of smart mobile equipments and 5G network
technologies, the application scenarios of Internet of Things (IoT) technology are becoming …

Qoe-aware decentralized task offloading and resource allocation for end-edge-cloud systems: A game-theoretical approach

Y Chen, J Zhao, Y Wu, J Huang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the limited computing resource and battery capability at the mobile devices, the
computation-intensive tasks generated by mobile devices can be offloaded to edge servers …

Secure NOMA-based UAV-MEC network towards a flying eavesdropper

W Lu, Y Ding, Y Gao, Y Chen, N Zhao… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) allows multiple users to share link resource for
higher spectrum efficiency. It can be applied to unmanned aerial vehicle (UAV) and mobile …

Energy-efficient multiaccess edge computing for terrestrial-satellite Internet of Things

Z Song, Y Hao, Y Liu, X Sun - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The recent advances in low earth orbit (LEO) satellites enable the satellites to provide task
processing capability for remote Internet-of-Things (IoT) mobile devices (IMDs) without …