.png){kind=icon}
Return
A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access
.png){kind=icon}
OA
AI
DOI：10.1109/TVT.2023.3263791.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
To mitigate the computational power gap between the network core and edges, mobile edge computing (MEC) is poised to play a fundamental role in future generations of wireless networks. In this correspondence, we consider a non-orthogonal multiple access (NOMA) transmission model to maximize the worst task to be offloaded among all users to the network edge server. A provably convergent and efficient algorithm is developed to solve the considered non-convex optimization problem for maximizing the minimum number of offloaded bits in a multi-user NOMA-MEC system. Compared to the approach of optimized orthogonal multiple access (OMA), for given MEC delay, power and energy limits, the NOMA-based system considerably outperforms its OMA-based counterpart in MEC settings. Numerical results demonstrate that the proposed algorithm for NOMA-based MEC is particularly useful for delay sensitive applications.
Keywords:
Non-orthogonal multiple access
mobile edge computing
task offloading
B5G
6G
Journal
IF:
7.1
Papers:
1.8W
Citations:
6.6W
Organization
Cited Papers
ShareSaveElectrospun Chitosan-Gelatin Biopolymer Composite Nanofibers for Horseradish Peroxidase Immobilization in a Hydrogen Peroxide Biosensor.png)
Biosensors
OAAI
BiosensorsIF0
OAAIShareSaveShareSaveShareSaveShareSavePerceptions of violence and fear of school attendance among junior high school students in Israel
PREAI
ShareSave
View more