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Tu2C-5: 100-Gbps Fiber-Terahertz System in 330-GHz Band Using Stable Transmitter and Simple Photonics-Enabled Receiver
We demonstrate a fiber-terahertz system operating in the 330-GHz band, utilizing a stable transmitter and a simple photonics-enabled receiver. At the transmitter, an optical frequency comb and an opti...
Tu2D-1: RF-Input Doherty-Like Load-Modulated Balanced Amplifier with Decade Bandwidth Enabled by Novel Broadband 180-Degree Power Divider
This paper presents the first demonstration of a decade-bandwidth Doherty-like load-modulated balanced amplifier (DL-LMBA). Leveraging the recently developed signal-flow-based broadband LMBA theory, a...
Tu2D-2: An Integrated Doherty Power Amplifier Module Based on an Advanced GaN-on-Si HEMT Technology and a Wideband Power Combiner
In this paper, a highly integrated and wideband Doherty power amplifier (PA) module for 5G mMIMO base station transceivers (BTS) is presented, leveraging the second generation of GaN-on-Si technology ...
Tu2D-3: System-in-Package Doherty Power Amplifier Using Hybrid LDMOS/GaN Line-Up for 5G Macro Driver Applications
This paper presents a compact hybrid LDMOS/GaN Doherty Power Amplifier (DPA) module targeting B1-B3 bands (1.805GHz–2.170GHz). To meet the 5G wide signal bandwidth requirements, this integrated multis...
Tu2D-4: 10 Watt CW Power Handling SPDT RF Switch Using E-Mode p-GaN Dual-Gate HEMT Technology
A compact size 10W continuous wave (CW) power handling single-pole-double-throw (SPDT) RF switch is demonstrated by using p-GaN gate E-mode GaN on Si HEMT technology. Compared to traditional depletion...
Tu2E-1: An Embedded-Structured Convolutional Neural Network for Efficient RF Device Behavior Model Extraction
In this paper, a novel embedded-structured convolutional neural network based approach to extract nonlinear behavior RF device model is proposed. The model features a unique embedded neural network ar...
Tu2E-2: DeltaDPD: Exploiting Dynamic Temporal Sparsity in Recurrent Neural Networks for Energy-Efficient Wideband Digital Predistortion
Digital Predistortion (DPD) is a promising technique to enhance signal quality in wideband RF power amplifiers (PAs). With increasing bandwidth and data rates, DPD faces significant energy consumption...
Tu2E-3: Enhancing Digital Predistortion Performance Under Load Mismatch Using a VSWR Generative Neural Network Simulator
This work introduces a VSWR generative neural network (GNN) simulator designed to simulate VSWR conditions as experienced by a power amplifier. The VSWR GNN simulator is trained using 20 recordings of...
WSH-5: Waferscale RF Silicon Interposer Packaging Technology for mm-Wave Phased Arrays and Radars
This talk focuses on imec’s 300mm RF Silicon Interposer packaging technology for mm-wave applications. Key modules of the technology will be introduced with advantages over both HDI PCB technology and...
Tu2E-4: Recurrent Neural Network Modeling of Radio Frequency Amplifiers for System-Level Simulation and Design
We report a recurrent neural network (RNN) architecture with embedded static features for the prediction of the response of a power amplifier (PA) in the time domain. We show prediction of PA behavior...