2026 IEEE MTT-S Young Professionals Workshop on Modeling, Optimization, and Measurement Techniques for Active Devices (MOMA)

MOMA Workshop Agenda — 6 November 2026

Time: 14:00–14:10 GMT | 15:00–15:10 CET | 09:00–09:10 EST | 06:00–06:10 PST | 22:00–22:10 China

Introduction

Time: 14:10–14:40 GMT | 15:10–15:40 CET | 09:10–09:40 EST | 06:10–06:40 PST | 22:10–22:40 China

Speaker: Marvin Jaeger (Hamburg University of Technology, Germany)

Title: Coefficient-Efficient Channel Linearization for Scalable Quantum Computing

Abstract: Scaling quantum computers requires reducing the number of wires connecting control electronics to qubits. Addressing multiple qubits at distinct frequencies through a shared signal channel offers one solution but increases the importance of channel linearization. Unlike communication systems, the primary performance metric is qubit gate fidelity. This talk compares the signal requirements of superconducting qubits and microwave-controlled ion traps, highlighting how their different power levels affect the relative importance of static and dynamic channel effects. It also addresses the resource constraints of real-time signal generation using RFSoC devices, which motivate coefficient-efficient linearization. Recent results compare techniques adapted from communication engineering, examining the trade-off between coefficient count and fidelity improvement to identify suitable approaches for different qubit implementations.

Time: 14:40–15:10 GMT | 15:40–16:10 CET | 09:40–10:10 EST | 06:40–07:10 PST | 22:40–23:10 China

Speaker: Shipra (Chalmers University of Technology, Sweden)

Title: Digital Post-Distortion for Receiver Linearization

Abstract: Nonlinearities in RF receiver front ends, particularly in low-noise amplifiers, can significantly degrade performance in the presence of strong interference. This talk presents digital post-distortion (DPoD) techniques for receiver linearization, focusing on reducing the need for transmitted signal knowledge. It traces the progression from fully supervised to blind DPoD and introduces a blocker-aware blind approach that exploits out-of-band distortion to improve linearization under strong adjacent-channel interference. A hybrid blind–supervised framework combines limited pilot information with blind distortion suppression, improving performance with low training overhead. Finally, the talk extends DPoD to multi-antenna receivers, combining spatial processing with digital nonlinear compensation to mitigate interference-induced distortion. These approaches address receiver linearization across different levels of signal knowledge and receiver complexity.

Time: 15:10–15:40 GMT | 16:10–16:40 CET | 10:10–10:40 EST | 07:10–07:40 PST | 23:10–23:40 China

Speaker: Sergio López De Pablo Oya (Universitat Autònoma de Barcelona, Spain)

Title: Automated Matching-Network Optimization for Stand-Alone and Multiport MMIC Power Amplifiers

Abstract: RF power amplifier design requires matching networks that satisfy frequency-dependent impedance and performance requirements within practical implementation constraints. This talk presents an automated matching-network optimization methodology for stand-alone and multiport power amplifiers, with particular emphasis on multiport MMIC implementations. The approach explores network topologies and component configurations to meet target impedances while accounting for bandwidth, matching performance, and out-of-band behavior. It is first demonstrated for stand-alone amplifiers and then extended to multiport MMIC configurations, where interactions between ports introduce additional optimization challenges. Representative design cases illustrate how automated topology selection and simultaneous optimization of multiple ports can support matching-network synthesis, addressing the coupled requirements of highly integrated power amplifiers while retaining flexibility in network topology and component selection.

Time: 15:40–16:10 GMT | 16:40–17:10 CET | 10:40–11:10 EST | 07:40–08:10 PST | 23:40–00:10 China

Speaker: Thaimi Niubo Aleman (Keysight Technologies, USA)

Title: Pulsed-Bias Dynamic Gain Model Extraction for an X-Band GaN Radar Power Amplifier Using VNA Modulation-Distortion Measurements

Abstract: Radar power amplifiers operate under pulsed drain bias, but behavioral models are often extracted under continuous bias, potentially misrepresenting thermal and charge-trapping effects during radar pulses. This talk presents a vector-network-analyzer-based method for extracting wideband dynamic gain models directly under pulsed bias. Modulation-distortion measurements capture calibrated input and output waveforms using a 100 MHz multitone stimulus and 100 µs drain pulses at a 7.72% duty cycle. Applied to the Analog Devices ADPA1120 X-band GaN amplifier, the method synchronizes acquisition with the settled portion of each pulse. Model accuracy and extraction repeatability are evaluated, with results cross-checked against system-level simulation. As an independent validation, digital predistortion based on the extracted model improves adjacent-channel power ratio by 17 dB under the same pulsed conditions.

Time: 16:10–16:20 GMT | 17:10–17:20 CET | 11:10–11:20 EST | 08:10–08:20 PST | 00:10–00:20 China

Conclusions