Machine learning-based antenna selection in untrusted relay networks
R Yao, Y Zhang, N Qi, TA Tsiftsis… - 2019 2nd International …, 2019 - ieeexplore.ieee.org
This paper studies the transmit antenna selection based on machine learning (ML) schemes
in untrusted relay networks. First, the exhaustive search antenna selection scheme is stated …
in untrusted relay networks. First, the exhaustive search antenna selection scheme is stated …
Secrecy energy efficiency maximization in a NOMA system
R Yao, L Yao, X Zuo, N Qi, Y Liu… - 2019 IEEE 11th …, 2019 - ieeexplore.ieee.org
In this paper, for the downlink of a non-orthogonal multiple access (NOMA) system, the
power allocation scheme is proposed for the legitimate users. Attaching importance to the …
power allocation scheme is proposed for the legitimate users. Attaching importance to the …
[PDF][PDF] Optimized Time Splitting to Maximize the Lower Bound of Rate with Channel Estimation in an Interference Alignment Based Network
R Yao, L Yao, J Xu, X Zuo, H Liu - Radioengineering, 2019 - pdfs.semanticscholar.org
In this paper, for an interference alignment (IA) based network, a time splitting scheme for
transmitting training and data symbols is optimized. The time allocated for transmitting …
transmitting training and data symbols is optimized. The time allocated for transmitting …
Optimized Time Splitting to Maximize Rate in An Interference Alignment Based Network
R Yao, L Yao, X Zuo, Y Zhang - 2018 IEEE/CIC International …, 2018 - ieeexplore.ieee.org
In this paper, considering an interference alignment (IA) based network, a time splitting
scheme for transmitting training and data symbols is optimized. The time allocated to …
scheme for transmitting training and data symbols is optimized. The time allocated to …