From the 1 of 4 linked papers with an AI index.
4 papers
Achievable-Rate Analysis of MISO Systems with Transmit-Side Multiport Matching Networks
Wendong Cheng, Li Chen, Weidong Wang
The paper derives an upper bound on the achievable data rate of a MISO transmitter that uses a multiport matching network, accounting for RF front‑end constraints, and proposes a p…
An Adaptive Antenna Impedance Matching Method via Deep Reinforcement Learning
Guoquan Zhang, Wendong Cheng, Weidong Wang +1
Adaptive impedance matching between antennas and radio frequency front-end modules is critical for maximizing power transmission efficiency in mobile communication systems. Convent…
A Data-Driven Adaptive Impedance Matching Method Robust to Parasitic Effects
Wendong Cheng, Li Chen, Weidong Wang
Adaptive impedance matching between antennas and radio frequency front-end (RFFE) power modules is essential for mobile communication systems. To address the matching performance d…
NN-Based Joint Mitigation of IQ Imbalance and PA Nonlinearity With Multiple States
Yundi Zhang, Wendong Cheng, Li Chen
Joint mitigation of IQ imbalance and PA nonlinearity is important for improving the performance of radio frequency (RF) transmitters. In this paper, we propose a new neural network…