IEEE SPS Virtual Lecture- Enabling the Next Generation of Advanced Software-Defined RF Systems


Abstract. After providing a brief introductory survey of recent and current efforts at the Center for Wireless Information Systems and Computational Architectures (WISCA), and observations on the future of RF systems, we introduce our efforts on the next generation of coarse-scale heterogenous processor development. On our project – entitled Domain-Focused Advanced Software-Reconfigurable Heterogeneous (DASH)-System-on-Chip (SoC) that operates under the DARPA Domain-Specific System-on-Chip (DSSoC) program – we are constructing both a development framework and an example SoC. Our SoC and framework will provide efficiency that approaches that of full-custom integrated circuits while enabling ease of programming that is similar to that of traditional scalar processors. To achieve this goal, we pursue significant progress in application ontological analysis, program and debugging software tools, intelligent on-chip resource management, flexible high-performance on-chip networking, and advanced task-specific accelerators. Additionally, to assure usefulness to DoD RF applications, we work with multiple traditional defense contractors on transitioning the DASH-SoC to example systems. We lead a broad team from academia, commercial industry, and traditional defense contractors. Biography. Prof. Daniel W. Bliss ( is a Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University and a Fellow of the IEEE. He is also the Director of ASU’s Center for Wireless Information Systems and Computational Architectures ( Dan received his Ph.D. and M.S. in Physics from the University of California at San Diego (1997 and 1995), and his B.S. in Electrical Engineering from ASU (1989). His current research focuses on advanced systems in the areas of communications, radar, precision positioning, advanced computational systems, and medical monitoring. Dan has been the principal investigator on numerous projects including sponsored programs with DARPA, ONR, Google, Airbus, and many others. He is responsible for foundational work in electronic protection, adaptive multiple-input multiple-output (MIMO) communications, MIMO radar, distributed-coherent systems, and RF convergence. Virtual:

Celebrating Georgia Women in STEM

Atlanta , Georgia, United States, Virtual:

Atlanta WIE is co-hosting this event next Wednesday with several notable Georgia women in STEM, including Cassandra Wheeler, Regional Director for Georgia Power, and our own Theresa Brunasso, IEEE Region 3 Director-elect and engineering entrepreneur. In addition to hearing about their journeys, there will be breakout rooms for Q&A and a speed networking session to meet other local women in STEM. (The speed networking is fun, give it a shot!) See the attached flyer for information, and register ( Co-sponsored by: Science for Georgia, Association for Women in Science-Georgia Chapter, Women in Biology-Atlanta Chapter Atlanta , Georgia, United States, Virtual:

IEEE COMSOC CHAPTER TECHNICAL TALK – The ABCs of Orthogonal Frequency Division Multiplexing (OFDM) Part II

Thousand Oaks, California, United States, Virtual:

This is Part II of a Two Part Talk on OFDM. The abstract below is for both Part I and II: The main benefit of OFDM is its ability to cope with severe multipath channel conditions without the need for complex equalization filters. How does it accomplish this? The short answer: by "dividing and conquering." It partitions a high-data-rate signal into smaller low-data-rate signals so that the data can be sent over many low-rate sub-channels. The Time/Frequency relationships are presented with a figure that facilitates a straightforward understanding of the OFDM partitioning process. We emphasize the important role of the cyclic prefix (CP). We show how it allows us to change linear convolution into circular convolution, thereby purging any transients, which helps to maintain waveform orthogonality at the receiver. OFDM waveform synthesis is covered in detail. Also, the spectral properties of Real and Imaginary signals are reviewed. We further consider the peak-to-average power ratio (PAPR) in OFDM, and how the desire for small PAPR has given rise to a special variant of OFDM called single-carrier OFDM (SC-OFDM). Finally, we illustrate applications of this elegant technology in standards such as 802.11 and LTE. Speaker(s): Dr. Bernie Sklar, Agenda: 6:30-6:45 (PST) PM Virtual Social 6:45-8:15 (PST) PM Presentation 8:15-8:30 (PST) PM Q&A Thousand Oaks, California, United States, Virtual:

Model predictive control in power electronics: a critical review and recent industrial products

Virtual: Virtual:

The number of publications per year on predictive control doubles every three years. The strong interest in academia is reflected in industry with two recent product releases. Both use model predictive control for high-power variable speed drives, which improves efficiency, increases rated power and lowers the overall system cost. This lecture introduces the main predictive control methods available today in a concise yet intuitively accessible way. The lesser known methods are also discussed, providing a comprehensive introduction to the subject. The first two industrial success stories are presented in detail, and their commercial benefits are explained. The lecture concludes with a critical assessment of the state-of-the-art in predictive control and points out directions for future research. Speaker(s): Dr. Tobias Geyer, Virtual:

The Impacts of Flexibility Enhancements on the Value of Gas Plant Operations

Atlanta, Georgia, United States, Virtual: Atlanta, Georgia, United States, Virtual:

Abstract: The rapid increase of renewable generation and its anticipated continued growth requires greater operational flexibility in modern power systems. One of the methods to increase flexibility in the generation side is to enhance existing generators such as combined-cycle natural gas power plants which, are widely used. Potential flexibility upgrades to existing thermal plants include modifications that enable faster ramp rates, increase maximum load levels, decrease minimum load levels, and provide faster and lower cost startup operations. This research analyzes the effect that specific flexibility upgrades have on the operation of existing natural gas power plants and the value associated with these enhancements. In this research, we apply a unit commitment model to analyze the impact that each specific upgrade has on their operational dynamics and profitability from both the system perspective and from the asset owner perspective. The research publication, The Impacts of Distinct Flexibility Enhancements on the Value and Dynamics of Natural Gas Power Plant Operations, is available on ( as an Early Access paper, ( Key takeaways: - Enhancing combined cycle plant flexibility DOES reduce system operator and consumer cost while maintaining system reliability - Enhancing flexibility DOES increase unit owner net revenue (profit) - Benefits of flexibility DEPEND on: type of flexibility enhancement, current unit capacity factor, and unit historical usage pattern - Implementing multiple types of flexibility simultaneously on a given power plant is more valuable than the sum of individual enhancements - The greater the share of non-dispatchable wind and solar capacity on the grid, the greater the value of combined cycle plant flexibility - Market designers should consider additional market mechanisms and incentives for existing generators to invest in increased flexibility Speaker(s): Arupam Narula, Bob Bellis Agenda: 11:45 Check-in and Presentation Technology Check 12:00 Presentation 12:50 Q&A Atlanta, Georgia, United States, Virtual:

Physics-Aware Deep Learning for RF-Based Gait Analysis and Sign Language Recognition

Atlanta, Georgia, United States, Virtual:

. In recent years, advances in machine learning, parallelization and the speed of graphics processing units (GPUs), combined with the availability of open, easily accessible implementations, have brought deep neural networks (DNNs) to the forefront of research in many fields. Likewise, deep learning has offered significant performance gains in the classification of radar micro-Doppler signatures, paving the way for new civilian applications of RF technologies that require a greater ability to recognize a larger number of classes that are similar in nature. However, RF data has a fundamentally different phenomenology from other application areas of deep learning, such as computer vision or natural language processing. The signal received from radar is a complex time-series, whose amplitude and phase are related to the physics of electromagnetic scattering and kinematics of target motion. Radar data oftentimes undergoes a number of filtering and analysis stages before being presented to a DNN as two- or three-dimensional data. Thus, DNN approaches, popular in other fields, do not necessarily translate to the RF domain and their benefits must be separately reassessed. A related challenge, which further necessitates the exploitation of a physics-based, knowledge-aided signal processing approach to DNN design and training, is the small amount of measured data that is available in RF applications. This talk will discuss the unique aspects of application of deep learning to radar micro-Doppler classification, focusing on the problem of DNN training under low sample support. Generative Adversarial Networks (GANs) have achieved great success in synthetic data generation; however, we show how in the case of radar micro-Doppler signatures, misleading signatures with poor kinematic fidelity can also be generated and degrade classification performance. Methods for improving the quality of synthetic signatures generated through adversarial learning are discussed. Results and benefits for two case studies are considered: biomedical gait analysis and recognition of American Sign Language. Linguistic and kinematic insights into the application of deep learning as well as ways in which machine learning and radar signal processing can illuminate linguistics study via RF sensing are presented. Speaker(s): Dr. Gurbuz, Atlanta, Georgia, United States, Virtual:

IEEE EMBS/CS Atlanta: Patterns in the Machine

TBD, Atlanta, Georgia, United States, Virtual:

Please join us for the September 2021 meeting of the Atlanta Chapters of IEEE Engineering in Medicine and Biology Society (EMBS) and Computer Society (CS). We will be hosting John Tayler speaking on the topic of "Patterns in the Machine: A Software Engineering Guide to Embedded Development." Speaker(s): John Taylor, Agenda: 6:30 PM: Dinner/Networking 7:00 PM: Speaker TBD, Atlanta, Georgia, United States, Virtual:

IEEE EMBS/CS Atlanta: Patterns in the Machine

Atlanta, Georgia, United States, Virtual:

Please join us for the September 2021 meeting of the Atlanta Chapters of IEEE Engineering in Medicine and Biology Society (EMBS) and IEEE Computer Society (CS). We will be hosting John Taylor speaking on the topic of "Patterns in the Machine, A Software Engineering Guide to Embedded Development." Speaker(s): John Taylor, Agenda: 6:30PM: Virtual networking 7:00PM: Speaker Note: This event has been converted to virtual only. Atlanta, Georgia, United States, Virtual:



5G represents a major departure from previous cellular generations. It will not only focus on speed, lower latency and spectrum efficiency but will also empower a number of verticals empowered by IoT, AI/ML/DL and Blockchain collecting and aggregating data for edge computing and with 6G at edge intelligence - Edge AI performing analysis and generating insightful information for critical actions in real-time or non-real-time applications. This VDL talk will cover: - A clear understanding of 5G & 6G positioning, features and roadmap- Architecture evolution pushing intelligence to the edge- Provide examples empowered by 5G/6G, IoT and AI including: - Enhanced Mobile Services (e.g. High-speed application, video streaming, gaming); - Massive Machine-type Communications (e.g. Smart homes. Smart building, Smart Cities); - Ultra-reliable and low latency communications (e.g. Self-driving car, AR/VR, Mission-critical applications) - Provide an example of network slicing for bandwidth efficiency, security and QoS. Takeaways: - Understanding why 5G and future generations such as 6G and beyond. - Example of new classes of applications and services empowered by 5G/6G - Concept of virtualization and networking slicing for the dynamic launch of new services. PresenterFawzi Behmann, President TelNet Management Consulting Inc. IEEE ComSoc DL and Director for North America Region and Board Virtual:

Review of Fault Bus Protection Schemes

Atlanta, Georgia, United States, Virtual:

Abstract: Protection schemes capable of detecting the failure of surge arresters and/or bushings on transformers have been applied by utilities to extend the transformer zone of protection, shorten the duration of line outages and improve system reliability. This scheme typically consists of an instantaneous overcurrent element utilizing one or more current transformer(s) connected in the earth fault path. This presentation will review the benefits, lessons learned and criteria to keep in mind when implementing a fault bus scheme. The response of microprocessor relays to various transient and fault scenarios will also be reviewed. Speaker(s): Jeff Brogdon, P.E., Agenda: 11:30 Check-in and Presentation Technology Check 11:45 Presentation 12:45 Q&A Atlanta, Georgia, United States, Virtual: