Computational Rate Maximization for IRS-Assisted Multi-Antenna WP-MEC Systems With Finite Edge Computing Capability-Reference-Cited by-同舟云学术

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Computational Rate Maximization for IRS-Assisted Multi-Antenna WP-MEC Systems With Finite Edge Computing Capability

Published:2023 Issue: Volume: Page:1-1
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Chen Pengcheng¹^ORCID,Yang Yuxuan²,Jiang Jie¹^ORCID,Lyu Bin¹^ORCID,Yang Zhen¹^ORCID,Jamalipour Abbas²^ORCID

Affiliation:

1. Key Laboratory of Ministry of Education in Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China

2. School of Electrical and Information Engineering, University of Sydney, Sydney, NSW, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/6702522/10239257.pdf?arnumber=10239257

Cited by 2 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. Standalone Intelligent Reflecting Surface With Automatic Update of Phase-Shift Switching Schedule for Improved Communication and Localization;IEEE Transactions on Vehicular Technology;2024-06

2. Active IRS-Assisted Wireless Powered MEC Systems with Non-linear Energy Harvesting Model;2023 International Conference on Wireless Communications and Signal Processing (WCSP);2023-11-02

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