A DQN-Based Joint Computing Offloading and Resource Allocation Algorithm for MEC Networks

This paper studies the joint computing offloading and resource allocation problem in an MEC network. We formulate the problem as an optimization problem with the objective to maximize the network throughput while satisfying the delay requirements of as many service requests as possible. Meanwhile, w...

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Bibliographic Details
Published inIEEE International Conference on Communications (2003) pp. 2553 - 2558
Main Authors Yu, Li, Jiang, Shurui, Zheng, Jun, Yan, Feng, Zhao, Shuyuan
Format Conference Proceeding
LanguageEnglish
Published IEEE 28.05.2023
Subjects
Benchmark testing
computing offloading
Delays
DQN
Dynamic scheduling
Heuristic algorithms
MEC
MEC network
resource allocation
Resource management
Simulation
Throughput
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ISSN1938-1883
DOI10.1109/ICC45041.2023.10279106

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Summary:This paper studies the joint computing offloading and resource allocation problem in an MEC network. We formulate the problem as an optimization problem with the objective to maximize the network throughput while satisfying the delay requirements of as many service requests as possible. Meanwhile, we propose a deep-Q-network (DQN) based joint computing offloading and resource allocation (D-CORAL) algorithm to solve the formulated problem. The proposed D-CORAL algorithm attempts to jointly optimize edge node selection, and spectrum resource and computing resource allocation for each service request by learning online to better adapt to a dynamic environment. Simulation results show the proposed algorithm can achieve larger network throughput than two benchmark algorithms.
ISSN:1938-1883
DOI:10.1109/ICC45041.2023.10279106