Volume 39, Number 2, April 2021
|Page(s)||454 - 461|
|Published online||09 June 2021|
Optimization algorithm of communication systems with intelligent reflecting surface for internet of things
School of Information Science and Technology, Northwestern University, Xi'an 710127, China
With the development of 5th-generation(5G) wireless systems and internet of things(IoT), high speed wireless communications are facing severe challenges due to numerous connections of communication terminals and limited frequency resources. Intelligent reflecting surface(IRS), a newly appeared wireless communication technology, has attracts people's attentions worldwide by its low power consumptions and costs. In order to improve the communication rates of users, this paper proposes a novel optimization algorithm by implementing the deep learning to IRS for establishing the mapping from the channel state information to the optimal reflecting coefficient matrix of IRS. The present algorithm can perform real-time reconfiguration of IRS while protecting the privacy of IoT users.
Key words: intelligent reflecting surface / internet of things / deep learning / federated learning / privacy protection
关键字 : 智能反射面 / 物联网 / 深度学习 / 联邦学习 / 服务质量保障
© 2021 Journal of Northwestern Polytechnical University. All rights reserved.
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