JOURNAL ARTICLE

Joint Optimization Computation Offloading and Resource Allocation for LEO Satellite with Edge Computing

Abstract

In this paper, a multi-user, multi-task and multi-server scenario for low earth orbit (LEO) satellite edge computing system is established, and a joint optimization algorithm for computation offloading and resource allocation based on deep deterministic policy gradient (DDPG) is proposed, which solves the problems of computation offloading and resource allocation requiring high dimensional state space and high dimensional continuous action space, significantly improves the system utility values and achieves excellent convergence effect

Keywords:
Computer science Resource allocation Computation offloading Computation Satellite Distributed computing Convergence (economics) Enhanced Data Rates for GSM Evolution Joint (building) Resource management (computing) Low earth orbit Task (project management) Mobile edge computing Edge computing Mathematical optimization Optimization problem Algorithm Computer network Artificial intelligence Mathematics Engineering

Metrics

6
Cited By
3.12
FWCI (Field Weighted Citation Impact)
18
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Satellite Communication Systems
Physical Sciences →  Engineering →  Aerospace Engineering
Age of Information Optimization
Physical Sciences →  Computer Science →  Computer Networks and Communications
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
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