Energy-Efficient Task Offloading in UAV-RIS-Assisted Mobile Edge Computing with NOMA-Reference-Cited by-同舟云学术

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Energy-Efficient Task Offloading in UAV-RIS-Assisted Mobile Edge Computing with NOMA

Published:2024-05-20 Issue: Volume: Page:01-06
ISSN:
Container-title:IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
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Author:

Zhang Mingyang¹,Su Zhou²,Xu Qichao¹,Qi Yihao¹,Fang Dongfeng³

Affiliation:

1. School of Mechatronic Engineering and Automation, Shanghai University,Shanghai,China

2. School of Cyber Science and Engineering, Xi'an Jiaotong University,Xi'an,China

3. California Polytechnic State University,Department of Computer Science,San Luis Obispo,USA

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10620660/10620661/10620850.pdf?arnumber=10620850

Reference18 articles.

1. Knowledge-Driven Deep Learning Paradigms for Wireless Network Optimization in 6G

2. Incentivizing Secure Edge Caching for Scalable Coded Videos in Heterogeneous Networks

3. UAV-to-Ground Communications: Channel Modeling and UAV Selection

4. Computation Efficiency Maximization for UAV-Assisted Relaying and MEC Networks in Urban Environment

5. Resource Allocation and Trajectory Design for MISO UAV-Assisted MEC Networks

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