Resource allocation in backscatter-assisted wireless powered MEC networks with limited MEC computation capacity

Y Ye, L Shi, X Chu, RQ Hu, G Lu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we consider a backscatter-assisted wireless powered mobile edge computing
(MEC) network, where multiple Internet-of-Things (IoT) nodes harvest energy from the …

Partial computation offloading in NOMA-assisted mobile-edge computing systems using deep reinforcement learning

TP Truong, TV Nguyen, W Noh… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Mobile-edge computing (MEC) and nonorthogonal multiple access (NOMA) have been
regarded as promising technologies for beyond fifth-generation (B5G) and sixth-generation …

Hybrid beamforming design and resource allocation for UAV-aided wireless-powered mobile edge computing networks with NOMA

W Feng, J Tang, N Zhao, X Zhang… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Beamforming and non-orthogonal multiple access (NOMA) serve as two potential solutions
for achieving spectral efficient communication in the fifth generation and beyond wireless …

Mobility-aware computation offloading and resource allocation for NOMA MEC in vehicular networks

Y Li, L Li, P Fan - IEEE Transactions on Vehicular Technology, 2024 - ieeexplore.ieee.org
In vehicular networks, mobile edge computing (MEC) is emerging as a promising paradigm
to provide computation services to vehicle terminals (VTs) by allowing VTs to offload …

Sub-channel scheduling, task assignment, and power allocation for OMA-based and NOMA-based MEC systems

K Wang, F Fang, DB Da Costa… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, sub-channel scheduling, task assignment and power allocation are
investigated for orthogonal multiple access (OMA)-based and non-orthogonal multiple …

Computing over the sky: Joint UAV trajectory and task offloading scheme based on optimization-embedding multi-agent deep reinforcement learning

X Li, X Du, N Zhao, X Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) has emerged to
support computation-intensive tasks in 6G systems. Since the battery capacity of a UAV is …

Joint service quality control and resource allocation for service reliability maximization in edge computing

W Zhang, S Zeadally, H Zhou, H Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Edge computing is a commonly used paradigm for providing low-latency computation
services by locally deploying computation and storage resources close to the user …

Energy efficiency maximization of backscatter-assisted wireless-powered MEC with user cooperation

Y He, X Wu, Z He, M Guizani - IEEE Transactions on Mobile …, 2023 - ieeexplore.ieee.org
The integrated backscatter communication (BackCom) and active communication (AC)
scheme can improve wireless-powered mobile edge computing (WPMEC) system …

Joint offloading and resource allocation with diverse battery level consideration in MEC system

Y Zhao, F Hou, B Lin, Y Sun - IEEE Transactions on Green …, 2023 - ieeexplore.ieee.org
Most of existing works related to mobile edge computing (MEC) focused on the total energy
consumption or task completion time. However, for the applications with multiple players as …

Energy-efficiency optimization for heterogeneous computing-assisted NOMA-MEC edge AI tasks

R She, Y Wu, E Cui, M Sun, W Zhao, D Fu - Future Generation Computer …, 2025 - Elsevier
Edge artificial intelligence (AI) is an emerging paradigm that leverages edge computing to
pave the last-mile delivery of AI. To satisfy the increasing demand for high-performance …