Reliability-Oriented Design Framework in NOMA-Assisted Mobile Edge Computing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3210510
Abstract: In this paper, we consider mission-critical task offloading in the non-orthogonal multiple access (NOMA)-assisted mobile edge computing (MEC) networks, where local information collected from multiple local devices are processed at the MEC node. The process… read more here.
Keywords: assisted mobile; mobile edge; noma assisted; design framework ... See more keywords
Fair Data Allocation and Trajectory Optimization for UAV-Assisted Mobile Edge Computing
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2019.2943461
Abstract: This letter investigates fairness-aware task data allocation and trajectory optimization in unmanned aerial vehicles (UAV)-assisted mobile edge computing (MEC) systems, where a fixed-wing UAV is used as a flying computing server to receive task data… read more here.
Keywords: optimization; allocation trajectory; trajectory optimization; data allocation ... See more keywords
Dynamic Task Scheduling in Cloud-Assisted Mobile Edge Computing
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2021.3115262
Abstract: The cloud-assisted mobile edge computing system is a critical architecture to process computation-intensive and delay-sensitive mobile applications in close proximity to mobile users with high resource efficiency. Due to the heterogenous dynamics of task arrivals… read more here.
Keywords: task scheduling; cloud assisted; edge; assisted mobile ... See more keywords
Incentive-Aware Recruitment of Intelligent Vehicles for Edge-Assisted Mobile Crowdsensing
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2020.3011693
Abstract: Edge-assisted mobile crowdsensing is an emerging paradigm where mobile users collect, and share sensing data at the edge of networks. With the abundant on-board resources, and large movement patterns of intelligent vehicles, they have become… read more here.
Keywords: assisted mobile; edge assisted; intelligent vehicles; mobile crowdsensing ... See more keywords