Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Resource allocation in backscatter-assisted wireless powered MEC networks with limited MEC computation capacity
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 …
(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
Mobile-edge computing (MEC) and nonorthogonal multiple access (NOMA) have been
regarded as promising technologies for beyond fifth-generation (B5G) and sixth-generation …
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
Beamforming and non-orthogonal multiple access (NOMA) serve as two potential solutions
for achieving spectral efficient communication in the fifth generation and beyond wireless …
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 …
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
In this paper, sub-channel scheduling, task assignment and power allocation are
investigated for orthogonal multiple access (OMA)-based and non-orthogonal multiple …
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
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 …
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
Edge computing is a commonly used paradigm for providing low-latency computation
services by locally deploying computation and storage resources close to the user …
services by locally deploying computation and storage resources close to the user …
Energy efficiency maximization of backscatter-assisted wireless-powered MEC with user cooperation
The integrated backscatter communication (BackCom) and active communication (AC)
scheme can improve wireless-powered mobile edge computing (WPMEC) system …
scheme can improve wireless-powered mobile edge computing (WPMEC) system …
Joint offloading and resource allocation with diverse battery level consideration in MEC system
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 …
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 …
pave the last-mile delivery of AI. To satisfy the increasing demand for high-performance …