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From the 1 of 6 linked papers with an AI index.

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6 papers

eess.SP2026

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…

eess.SP2026

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…

eess.SP2026

Exposure-Aware Beamforming for mmWave Systems: From EM Theory to Thermal Compliance

Zihan Zhou, Ang Chen, Yunfei Chen +2

Electromagnetic (EM) exposure compliance has long been recognized as a crucial aspect of communications terminal designs. However, accurately assessing the impact of EM exposure fo…

eess.SP2025

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…

eess.SY2025

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…

eess.SP2025

Beyond Traditional Coherence Time: An Electromagnetic Perspective for Mobile Channels

Zihan Zhou, Li Chen, Ang Chen +1

Channel coherence time has been widely regarded as a critical parameter in the design of mobile systems. However, a prominent challenge lies in integrating electromagnetic (EM) pol…