Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: A Ka-band asymmetrical stacked-FET MMIC Doherty power amplifier
K-Band GaAs MMIC Doherty Power Amplifier for Microwave Radio With Optimized Driver
A 90-nm CMOS Doherty power amplifier with minimum AM-PM distortion
Analysis and design of a high-efficiency multistage Doherty power amplifier for wireless communications
A 4.2-W 10-GHz GaN MMIC Doherty Power Amplifier
Microwave Doherty Power Amplifier for High Efficiency and Linearity
A 2.6GHz band 537W peak power GaN HEMT asymmetric Doherty amplifier with 48% drain efficiency at 7dB
3–3.6-GHz Wideband GaN Doherty Power Amplifier Exploiting Output Compensation Stages
Fully-Integrated Two-Stage GaN MMIC Doherty Power Amplifier for LTE Small Cells
Design of a Concurrent Dual-Band 1.8–2.4-GHz GaN-HEMT Doherty Power Amplifier
A Wideband and Compact GaN MMIC Doherty Amplifier for Microwave Link Applications
A Doherty power amplifier based on a tapered line impedance inverter
Multigate-Cell Stacked FET Design for Millimeter-Wave CMOS Power Amplifiers
High efficiency Ka-band Gallium Nitride power amplifier MMICs
Wideband harmonically-tuned GaN Doherty power amplifier
Design of low-cost 4W & 6W MMIC high power amplifiers for Ka-band modules
An extended Doherty amplifier with high efficiency over a wide power range
A Watt-Level Stacked-FET Linear Power Amplifier in Silicon-on-Insulator CMOS
A Doherty Power Amplifier With a GaN MMIC for Femtocell Base Stations
Design of GaN Doherty Power Amplifiers for Broadband Applications
A 33-dBm 1.9-GHz silicon-on-insulator CMOS stacked-FET power amplifier
A Wideband and Compact GaN MMIC Doherty Amplifier for Microwave Link Applications
Modelling Railway Interlocking Tables Using Coloured Petri Nets
BoneScalpel ™ UltraSonic Bone DiSSector: applicationS in Spine SUrgery anD SUrgical techniqUe gUiDe
heuristics for the assortment planning problem under ranking - based consumer choice models .
ClassiNet -- Predicting Missing Features for Short-Text Classification