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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 …
(B5G) wireless networks require new solutions, including the advent of more advanced …
Evolution of RAN architectures towards 6G: Motivation, development, and enabling technologies
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 …
(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
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 …
computation delay of wireless devices. Due to the high spectrum efficiency of non …
Secure NOMA-based UAV-MEC network towards a flying eavesdropper
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 …
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
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 …
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
Federated learning (FL) has been considered as a promising paradigm for enabling
distributed training/learning in many machine-learning services without revealing users' …
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
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 …
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 …
multiuser–multiserver–multiaccess edge computing competitive environment, which brings …
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 …
Deep reinforcement learning-based dynamic resource management for mobile edge computing in industrial internet of things
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 …
technologies, the application scenarios of Internet of Things (IoT) technology are becoming …