Dynamic Transmission and Computation Resource Optimization for Dense LEO Satellite Assisted Mobile-Edge Computing-Reference-Cited by-同舟云学术

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Dynamic Transmission and Computation Resource Optimization for Dense LEO Satellite Assisted Mobile-Edge Computing

Published:2023-05 Issue:5 Volume:71 Page:3087-3102
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Ding Changfeng¹^ORCID,Wang Jun-Bo¹^ORCID,Cheng Ming²^ORCID,Lin Min²^ORCID,Cheng Julian³^ORCID

Affiliation:

1. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China

2. College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

3. School of Engineering, The University of British Columbia, Kelowna, Canada

Funder

Jiangsu Province Science and Technology Project

Industry-University-Research Cooperation Fund of ZTE Corporation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/26/10128759/10061467.pdf?arnumber=10061467

Reference49 articles.

1. Supporting IoT With Rate-Splitting Multiple Access in Satellite and Aerial-Integrated Networks

2. Massive MIMO Transmission for LEO Satellite Communications

3. Secure Beamforming for Cognitive Satellite Terrestrial Networks With Unknown Eavesdroppers

4. A Survey on Technologies, Standards and Open Challenges in Satellite IoT

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1. Mobility-Aware Computation Offloading in Satellite Edge Computing Networks;IEEE Transactions on Mobile Computing;2024-10

2. Paramart: Parallel Resource Allocation Based on Blockchain Sharding for Edge-Cloud Services;IEEE Transactions on Services Computing;2024-07

3. LEO satellites selection-based computation offloading algorithm in aircraft–satellite multi-access edge computing networks;Computer Communications;2024-07

4. Dynamic Delay-Sensitive Observation-Data-Processing Task Offloading for Satellite Edge Computing: A Fully-Decentralized Approach;Remote Sensing;2024-06-16

5. APOLLO: a proximity-oriented, low-layer orchestration algorithm for resources optimization in mist computing;Wireless Networks;2024-06-16

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