Optimal data sink location for real-time NOMA-based Industrial IoTs-Reference-Cited by-同舟云学术

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Optimal data sink location for real-time NOMA-based Industrial IoTs

Published:2021-10-29 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Performance, Computing, and Communications Conference (IPCCC)
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Author:

Xie Yaqi¹,Xu Chaonong¹,Li Chao²

Affiliation:

1. China University of Petroleum (Beijing),Beijing Key Lab of Petroleum Data Mining,Beijing,China

2. Chinese Academy of Sciences,Institute of Computing Technology,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9679357/9679358/09679370.pdf?arnumber=9679370

Reference12 articles.

1. Delay-Aware Computation Offloading in NOMA MEC Under Differentiated Uploading Delay

2. Delay Minimization for NOMA-Assisted MEC Under Power and Energy Constraints

3. A Decomposition Theorem for Partially Ordered Sets

4. Scheduling with interference decoding: Complexity and algorithms

5. Completion-Time-Driven Scheduling for Uplink NOMA-Enabled Wireless Networks

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Complexity and algorithm of setting optimal location for data sink in real-time NOMA-based IIoTs;Computer Communications;2024-01

2. RCFNC: a resolution and contrast fusion network with ConvLSTM for low-light image enhancement;The Visual Computer;2023-07-08

3. Low-Light Image Enhancement via Self-Reinforced Retinex Projection Model;IEEE Transactions on Multimedia;2022

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