IMS2026 Schedule

3D Heterogeneous Integration promises huge improvements to size, weight, power, and cost (SWAP-C) while maintaining or improving performance through choice of best-in-class electronics, components, and packaging. But with this increased system density comes additional physical challenges such as thermal management. Advanced electronics design and advanced packaging design need to consider the thermal generation and thermal management processes together to realize the true benefits of 3DHI. Join 3D Glass Solutions and Keysight for an investigation into the design of an advanced electronic system using thermal-aware electronic design processes to explore this complex interaction and determine the best thermal management solution

High-gain modern phased array radiation pattern measurements require narrow angular resolution to ensure accurate results and reliable null measurements. Fast and precise analysis is essential for uniform beam steering with minimal scan loss and side-lobe levels. You need to measure multiple beam and null steering settings, tapering modes and polarizations in SATCOM or NTN. We will demonstrate how to optimize radiation pattern measurements and analysis, regardless of your equipment. AI will be used for 3D pattern reconstruction. Our goal is to provide a game-changing approach to measurement and analysis, enhancing your testing workflow and quality of results.

This workshop explores AI-assisted modeling techniques for RF components, enabling the creation of accurate digital twins and supporting a seamless digital thread across wireless system design. We cover advanced methods for characterizing beamformers, front-ends, and other RF devices through measurement and simulation, highlighting how AI differs from traditional IQ and VNA waveform-based modeling.
System-level workflows are presented, integrating AI-driven behavioral models to predict performance across diverse conditions. Attendees will learn to validate digital twins with measurements, enhance simulation fidelity, and streamline design cycles, while assessing the advantages and limitations of AI versus conventional approaches.

By 2025, the global mobile cellular subscriber count is forecasted to surpass 6 billion, with 5G paving the way for high-data capacity and low-latency through sub-6GHz and mm-Wave spectrum. 6G networks will hinge on 7-15GHz FR3 bands, a pivotal shift in mobile connectivity. The global rise of smartphones owes much to CMOS technology advancements to smaller nodes, computational power, and digital calibrations. This workshop explores current 5G RF-FEM designs at the heart of this transformation, addressing implementation challenges and discussing 6G FR3 ones. The semiconductor roadmap envisioned for 6G FR3 will be discussed, focusing on the integration of III-V/Si technologies.

In an increasingly congested spectrum landscape, companies, regulators, and policymakers are looking at new frequencies. With large chunks of untapped bandwidth, and the increasing maturity of the required technology, the sub-THz band offers significant promise for the wireless communications world. At the same time, existing services and stakeholders in the band, e.g., from the passive remote sensing and radio astronomy communities, need to be protected. Finally, international and national regulations limit emissions above 100 GHz largely based on considerations derived at lower frequency, overlooking the unique characteristics of electromagnetic wave propagation above 100 GHz, e.g., molecular absorption, and of the corresponding technology, e.g., the extreme directivity of the antennas.
There is a growing need for 1) new propagation models and measurements across frequencies that capture the stakeholders’ diverse needs and ways of interacting with the spectrum; 2) new circuits, antenna designs, and interference cancellation techniques for sharing and coexistence; and 3) dialogue between the scientific and other stakeholders to understand and model Radio Frequency Interference.
With this panel, we want to foster the dialogue between often siloed communities. To do so, we have invited representatives from the wireless communications, radioastronomy, and remote sensing community, including policy advocates and experts.

Recent advances in artificial intelligence (AI) and machine learning (ML) are transforming the way wireless components and complex electromagnetic (EM) systems are conceived, designed, and deployed. This session explores how ML-enabled optimization techniques are redefining applied electromagnetics, spanning the full pipeline from computational electromagnetics (CEM), uncertainty quantification (UQ), and antenna design to impactful applications such as magnetic resonance imaging (MRI), orthopaedic diagnostics, and remote sensing of snow and environmental parameters. By embedding AI and ML into EM modeling and optimization workflows, engineers can accelerate design cycles, navigate high-dimensional design spaces, and achieve performance levels that are difficult to reach with conventional approaches.<br />
Beyond algorithms, the session emphasizes the critical role of data in driving the quality, robustness, and trustworthiness of AI-based solutions. High-fidelity simulation data, measurement-driven datasets, and hybrid physics-informed approaches are discussed as essential enablers for reliable learning and generalization. Attention is also given to the challenge of bridging ambition and deployment—moving AI-enhanced EM techniques from proof-of-concept demonstrations to deployable, validated systems operating under real-world constraints.

Join us this workshop to learn creative methods to maximize the spectrum equalization performance for Apollo MxFE™ by exploring the flexibility in its DSP architecture. The methods include a two-stage filtering using both PFILT and CFIR and leveraging CFIR sparse mode to expand effective taps from 16 to a maximum of 128. Simulation results along with a live demo of ADXBAND16EBZ - a Quad Apollo system development board will demonstrate the significant improvements in equalization performance, highlighting how Apollo’s flexible DSP architecture enables higher system-level capability across EW, Radar, ISR, and Instrumentation applications.

The evolution of wireless systems toward higher frequencies, together with the integration of joint RF sensing and communications, drives unprecedented demands on phased array performance. Next-generation architectures must deliver exceptional transmitter linearity and receiver sensitivity across multi-gigahertz bandwidths and large antenna arrays.
We explore advanced measurement and behavioral modeling techniques, linking hardware prototypes with digital twins to accelerate the exploration of architectures and the development of wideband adaptive analog and digital algorithms, emphasizing the balance between modeling accuracy and computational efficiency. Demonstrations highlight design trade-offs and performance optimization strategies relevant to both 5G/6G communication links and AESA radar systems.

This workshop explores the design of a high-performance signal chain spanning DC to 55 GHz. Attendees will examine key topics such as Digitization, Wideband up/down conversion, Tunable filtering, and Amplification. Key components will be highlighted showing unique features and process tradeoffs. Topics include architecture tradeoffs, frequency planning, high-speed data conversion, and system-level optimization for dynamic range and latency. Practical insights into design approach, calibration, and signal integrity will be shared. Ideal for RF and DSP engineers, this session equips participants with the knowledge to architect scalable signal chains for radar, 5G/6G, satellite, and instrumentation applications.

Model-based simulation enables early validation of design concepts, but accurately representing real-world imperfections can be challenging. This workshop will demonstrate how to create digital twins from hardware over-the-air measurements. Attendees will see live data gathering, model validation, and scaling to larger arrays, comparing digital twins with real hardware. Participants will learn to identify root causes of performance issues, using highly integrated mmWave beamformers with frequency conversion capable of circular polarization in compact antenna test range systems.