Wireless Channel Estimation for Low-Power IoT Devices Using Real-Time Data
Author:
Affiliation:
1. School of Computing, Mathematics and Engineering, Charles Sturt University, Port Macquarie, NSW, Australia
2. School of Computing, Mathematics and Engineering, Charles Sturt University, Wagga Wagga, NSW, Australia
Funder
Charles Sturt University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10414977.pdf?arnumber=10414977
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. Deep Learning Approaches to Indoor Wireless Channel Estimation for Low-Power Communication;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09
2. Throughput Maximization of Wireless Powered IoT Network With Hybrid NOMA-TDMA Scheme: A Genetic Algorithm Approach;IEEE Access;2024
3. The Orthogonal Time Frequency Space (OTFS) Technique In 6G Wireless Communications;BIO Web of Conferences;2024
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