Search Results for author: X. Gao

Found 2 papers, 0 papers with code

Machine Learning Empowered Resource Allocation in IRS Aided MISO-NOMA Networks

no code implementations9 Mar 2021 X. Gao, Y. Liu, X. Liu, L. Song

The goal is to maximize the sum rate of all users by jointly optimizing the passive beamforming vector at the IRS, decoding order, power allocation coefficient vector and number of clusters, subject to the rate requirements of users.

BIG-bench Machine Learning Clustering

6G Wireless Channel Measurements and Models: Trends and Challenges

no code implementations8 Dec 2020 C. -X. Wang, J. Huang, H. Wang, X. Gao, X. -H. You, Y. Hao

In this article, we first present our vision on the application scenarios, performance metrics, and potential key technologies of the sixth generation (6G) wireless communication networks.

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