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 …

Evolution of RAN architectures towards 6G: Motivation, development, and enabling technologies

J Chen, X Liang, J Xue, Y Sun, H Zhou… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
In this survey paper, we first provide insights on the evolution of radio access networks
(RANs) through investigating the existing paradigms and future trends towards 6G. We then …

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 …

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 …

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' …

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 …

Price and risk awareness for data offloading decision-making in edge computing systems

G Mitsis, EE Tsiropoulou… - IEEE Systems …, 2022 - ieeexplore.ieee.org
The proliferation of multiaccess edge computing (MEC) paradigm has created a challenging
multiuser–multiserver–multiaccess edge computing competitive environment, which brings …

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 …

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 …