The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 29, 2025

Filed:

Dec. 29, 2023
Applicant:

Fuzhou University, Fuzhou, CN;

Inventors:

Zheyi Chen, Fuzhou, CN;

Junjie Zhang, Fuzhou, CN;

Jie Liang, Fuzhou, CN;

Pengfei Wang, Fuzhou, CN;

Assignee:

FUZHOU UNIVERSITY, Fuzhou, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 41/0826 (2021.12); H04L 41/0895 (2021.12); H04L 41/16 (2021.12);
U.S. Cl.
CPC ...
H04L 41/0826 (2012.12); H04L 41/0895 (2022.04); H04L 41/16 (2012.12);
Abstract

A profit-aware Offloading Framework towards Prediction-assisted MEC Network Slicing is provided. Towards MEC network slicing, formulate the optimization problem of maximizing long-term ESP profits and decouple it into the sub-problems of Edge network Slicing (EnS) and Computation offloading Access (CoA). For the slicing sub-problem, use a gated recurrent neural network (GRNN) to accurately predict user requests in different regions, and then use the optimal partitioning of network slices with the predicted requests and expected demands; For the offloading sub-problem, incorporating results from slice partitioning, use an improved deep reinforcement learning with twin ritic-networks and delay mechanism, solving the Q-value overestimation and high variance for approximating the optimal offloading and resource allocation.


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