Tuesday & Wednesday
Set-up time: 11:30am - 4:00pm
Demo Session / Networking Reception: 5:00pm - 7:00pm
Tuesday, 31 October
DM1: Mobile Spectrum and Interference Management From HF to mmWave - Raymond Shen; Rolland Zhang
DM2: Multi-Waveform Bridging of Streaming Video With an Innovative Software Radio - Roman M Shikula; Nicholas Echeverry; William W Stevers II
DM3: Signal Classification Using Deep Learning - Jeremy Twaits; Robin Getz
DM4: Phased Array System for Military Communications: Practical Applications of Null Steering for Interference Mitigation - Robin Getz
DM5: Demonstration of Closed Loop AI-Driven RAN Controllers Using O-RAN SDR Testbed - Nathan H. Stephenson; Azuka J. Chiejina; Nathaniel B. Kabigting; Vijay K. Shah
DM6: srsRAN - the High-Performance OpenRAN Platform for 5G and FutureG - Ismael Gomez Miguelez; Paul D Sutton
DM7: SSxApp: Secure Slicing for O-RAN Deployments - Joshua Moore; Aly sabri Abdalla; Minglong Zhang; Vuk Marojevic
DM8: End-To-End O-RAN Control-Loop for Radio Resource Allocation in SDR-Based 5G Network - Asheesh Tripathi; Jaswanth S. R. Mallu; Md Habibur Rahman; Abida Sultana; Aditya Sathish; Alexandre Huff; Mayukh Roy Chowdhury; Aloizio P. Pereira Da Silva
DM9: The Nemesis: A Global, Interoperable Platform for Endpoint Anomaly Detection, Attribution, Anticipatory Intelligence Generation and Exchange - Gentry Lane
Wednesday, 1 November
DM10: Demoing the RFRL Gym: A Reinforcement Learning Testbed for Wireless Communications - Alyse M Jones; Amos Johnson; William C Headley
DM11: Validating a Modified JSON Web Signature Format Using the Scenario of Ammunition Issuance for Training Purposes - Michael Hofmeier; Karl Seidenfad; Wolfgang F. Hommel
DM12: Seeing Without Alarming Thief: Passive WiFi Sensing for Indoor Security Monitoring - Shu-Ying Chang; Hung-Wen Liang; Van-Linh Nguyen; Po-Ching Lin
DM13: Adaptive Beam Management for Secure mmWave Communications Using Software-Defined Radios - Adrian L Baron-Hyppolite; Jefferson Viana Fonseca Abreu; Joao F. Santos; Luiz DaSilva; Jacek Kibiłda
DM14: BeamArmor Demo: Anti-Jamming System in Cellular Networks With srsRAN Software Radios - Ish Kumar Jain; Frederik Jonathan Zumegen; Dinesh Bharadia
DM15: Demonstration of Joint SDR/UAV Experiment Development in AERPAW - Anıl Gürses; Mark Funderburk; John Kesler; Keith Powell; Talha Faizur Rahman; Özgür Özdemir; Magreth J Mushi; Mihail Sichitiu; Ismail Güvenç; Rudra Dutta; Vuk Marojevic
DM16: Interference-Avoiding RFSoC-Based MIMO Links - Amir Torabi; George Sklivanitis; Dimitris A. Pados; Elizabeth Serena Bentley; Joseph Suprenant; Michael Medley
DM17: Optimization and Control of Autonomous UAV Swarm for Object Tracking - Anand Mahesh Kumar; Mai Abdel Malek; Jeffrey Reed
DM18: Demonstration of 5G-Underlay Signal Co-Existence - Kumar Sai Bondada; Xiang Cheng; Hanchao Yang; Daniel Jakubisin; Nishith Tripathi; Gustave Anderson; Yaling Yang; Jeffrey Reed
DM19: Live Demonstration of Spectrum Maximization and Encryption Techniques for 5G and Wideband NFC Applications - Scott Velazquez; Robert Shanafelt; Brennan Eveland
DM1: Mobile Spectrum and Interference Management From HF to mmWave
Authors:
Raymond Shen; Rolland Zhang
Abstract:
Signal monitoring, interference detection and direction finding (TDoA, AoA) are the primary tasks in spectrum management. With wireless networks moves to higher frequency and wider bandwidth, it poses greater challenges to monitor spectrum activities and detect any potential threats in current fixed sensor / receiver monitoring regime. Using RF handheld instrument like FieldFox as mobile sensor provides fast, flexible and reliable method to monitoring RF spectrum activities, identify signal of interest and DF signal reliably at significant lower cost.
DM2: Multi-Waveform Bridging of Streaming Video With an Innovative Software Radio
Authors:
Roman M Shikula; Nicholas Echeverry; William W Stevers II
Abstract:
Software Defined Radios (SDRs) can support a variety of both legacy and emerging communication waveforms without the significant hardware changes required when using traditional radios. By moving waveform development from firmware to software, SDRs greatly reduce the time required to field digital communication waveforms. By utilizing commercial-off-the-shelf (COTS) radio frequency (RF) hardware, an SDR system can also benefit from reduced system complexity and cost. SDRs utilizing open, modular interfaces like the universal serial bus (USB) can be used to bridge different waveforms in a manner that is transparent to users on the network. This paper demonstrates a general-purpose processor (GPP)-based SDR that can support multiple simultaneous links while also bridging a commercial and tactical communication waveform to forward a video stream.
DM3: Signal Classification Using Deep Learning
Authors:
Jeremy Twaits; Robin Getz
Abstract:
In this demonstration, we will show how to use software defined radios to capture wideband signals and train a semantic segmentation network using deep learning for spectrum monitoring. The approach is used in the lab-based prototyping and assessment of algorithms that can classify and label signals in a broad spectrum. We will discuss the application of semantic segmentation to spectrograms of wideband wireless signals to identify spectral content. We will demonstrate an approach to:
• Generate training signals
• Apply transfer learning to a semantic segmentation network to identify 5G NR and radar signals in time and frequency
• Test the trained network with synthetic signals • Use software defined radios to test the network with over-the-air (OTA) signals
DM4: Phased Array System for Military Communications: Practical Applications of Null Steering for Interference Mitigation
Author:
Robin Getz
Abstract:
This This paper presents a general-purpose phased array learning kit, which can also be applied in military communication. The demo showcases the efficiency of null steering in mitigating interference arising from adjacent and overlapping channel interferers. The system employs a linear phased array belonging to Analog Devices Inc., which is composed of eight antennae in a linear array and operates at 10.5 GHz. Communications and control software from MathWorks were employed during the demo. To exhibit the effectiveness of null steering, a single continuous wave (CW) interferer was added, with its frequency carefully selected within a +/-10% range of the receiver frequency. Through both simulation and practical results, the paper illustrates that the null steering technique can help the system mitigate interference, thus reducing the interference level in the relevant direction by no less than 30 dB. The study evaluated various wireless physical performance metrics, including Error-Vector Magnitude (EVM) measurements, to show the significant improvements resulting from the null steering technique. Ultimately, the results suggest that this system has the potential to increase efficiency and reduce the impact of interference from adjacent and overlapping channel interferers, thus improving communication capabilities.
DM5: Demonstration of Closed Loop AI-Driven RAN Controllers Using O-RAN SDR Testbed
Authors:
Nathan H. Stephenson; Azuka J. Chiejina; Nathaniel B. Kabigting; Vijay K. Shah
Abstract:
Open Radio Access Network (O-RAN), a virtualized, modular, and disaggregated design paradigm for 5G/NextG cellular RANs, aims to integrate intelligence into cellular networks, enabling advanced deployment, operation and maintenance of the network. A key component of O-RAN is the RAN Intelligent Controller (RIC), which facilitates the controllability of RAN elements through data-driven, closed-loop, intelligent control using software microservices called extended Applications (xApps). In this demonstration, we showcase intelligent RAN control using a custom interference classification xApp hosted within the near-real-time RIC. This demonstration provides a tangible example for designing, testing, and experimenting with AI-driven RAN controllers and exploring various possibilities within the O-RAN system.
DM6: srsRAN - the High-Performance OpenRAN Platform for 5G and FutureG
Authors:
Ismael Gomez Miguelez; Paul D Sutton
Abstract:
Open RAN has the potential to boost mobile wireless innovation, improve competition in the supplier ecosystem and reduce costs for developing and deploying networks. Breaking the RAN into discrete components with open interfaces and decoupling software from the hardware it runs on opens the ecosystem to new players and supports the diversification of mobile equipment supply chains. This refactoring of the RAN creates a malleable platform for innovation not only in 5G networks and beyond but also for special-purpose networks built upon 3GPP mobile wireless technology. The srsRAN Project is a new software suite from Software Radio Systems (SRS) featuring a complete 5G Open RAN CU and DU implementation. Available under both open-source and commercial licenses, srsRAN has been designed for real-world deployment while also providing an ideal platform for experimentation, research and development. In contrast with many Open RAN solutions on the market today, srsRAN is open-source, portable, deployable and complete. This demonstration features an end-to-end 5G Open RAN network deployment based on srsRAN Project. It showcases the robustness, performance and flexibility of the srsRAN solution while also highlighting the open, auditable and customizable nature of the codebase.
DM7: SSxApp: Secure Slicing for O-RAN Deployments
Authors:
Joshua Moore; Aly sabri Abdalla; Minglong Zhang; Vuk Marojevic
Abstract:
This demonstration explores the security concerns in 5G and beyond networks within open radio access network (O-RAN) deployments, focusing on active attacks disrupting cellular communications. An xApp developed on the open artificial intelligence cellular (OAIC) platform enables on-the-fly creation and management of network slices to mitigate such attacks. The xApp is hosted in the near-real time RAN intelligent controller (RIC) and establishes secure slices for the software radio network it controls. This solution presents a practical approach for resilient and secure network management in dynamic environments.
DM8: End-To-End O-RAN Control-Loop for Radio Resource Allocation in SDR-Based 5G Network
Authors:
Asheesh Tripathi; Jaswanth S. R. Mallu; Md Habibur Rahman; Abida Sultana; Aditya Sathish; Alexandre Huff; Mayukh Roy Chowdhury; Aloizio P Pereira Da Silva
Abstract:
End-to-end Open Radio Access Network (ORAN) demos, including Software-defined Radios (SDRs), can identify key gaps in the early stages of research and accelerate time-to-market and early adoption for next-generation wireless technologies. This work showcases an innovative end-to-end 5G-based ORAN deployment that leverages open-source tools and an Artificial Intelligence (AI)/Machine Learning (ML) framework. The deployment utilizes Software Radio Systems RAN (srsRAN) Central Unit (CU)-Distributed Unit (DU) connected to the Open5GS core network operating in 5G standalone (SA) mode. It also demonstrates the integration of Non-Real Time RIC (Non-RT RIC) and Near-Real Time RIC (Near-RT RIC) with embedded intelligence to perform radio resource allocation. An AI/ML framework deploys an optimized ML model as an rApp that complements a resource allocation xApp
DM9: The Nemesis: A Global, Interoperable Platform for Endpoint Anomaly Detection, Attribution, Anticipatory Intelligence Generation and Exchange
Author:
Gentry Lane
Abstract:
The RAPTOR is a novel computational software platform that addresses current capability gaps required to sustain a state of cyber domain dete
rrence. By leveraging new discoveries in computational sciences, the RAPTOR functions as a global, interoperable, platform for early detection, rapid attribution, secure intelligence sharing, and global situational awareness of advanced persistent threat activity in endpoints.
DM10: Demoing the RFRL Gym: A Reinforcement Learning Testbed for Wireless Communications
Authors:
Alyse M Jones; Amos Johnson; William C Headley
Abstract:
Radio Frequency Reinforcement Learning (RFRL) is anticipated to be a widely leveraged technology in the next-generation of wireless communication systems, particularly 6G systems and next-gen military communications. To support education, research, and innovation in RFRL technologies, an open-source simulation and analysis tool specifically for simulating wireless communications applications (both commercial and military) is under development that leverages the well-known OpenAI Gymnasium framework. In this demonstration, the current feature-complete functionalities of the RFRL Gym are showcased, particularly the ability to train and evaluate open-source Gymnasium-compatible RL algorithms against a series of representative user-defined wireless scenarios. In particular, scenarios representing dynamic spectrum access scenarios, as well as jamming/anti-jamming scenarios, will be demoed. Additionally, two simulation modes of the RFRL Gym will be demonstrated, namely a high-level abstracted gamified mode for researchers with minimal background in wireless communications and a low-level expert mode simulating real wireless signals, channels, and sensing for researchers with expertise in wireless communications concepts. The goal of this demonstration is two-fold. First, to showcase and solicit feedback on how RFRL Gym can be helpful to experts in the field to test and evaluate candidate RL algorithms for next-generation wireless systems. Second, to showcase and solicit feedback on how RFRL Gym can be helpful to develop a better understanding of RF and RL concepts for researchers with minimal expertise in the area.
DM11 - Validating a Modified JSON Web Signature Format Using the Scenario of Ammunition Issuance for Training Purposes
Authors:
Michael Hofmeier; Karl Seidenfad; Wolfgang F. Hommel
Abstract:
With the JSON Web Signature, the Internet Engineering Task Force (IETF) has provided a suitable tool for validating sent information for the web context. In our work, this format has been extended by rules and adaptations in order to optimally support non-web processes as well. This is done using a military-organizational scenario where identities exchange data directly with each other. The participants do not need to know each other, nor do they need to have exchanged data with each other beforehand. This work focuses on the implementation and demonstration of the scenario, creating applications and libraries accordingly.
DM12: Seeing Without Alarming Thief: Passive WiFi Sensing for Indoor Security Monitoring
Authors:
Shu-Ying Chang; Hung-Wen Liang; Van-Linh Nguyen; Po-Ching Lin
Abstract:
WiFi chipset is critical to every smartphone, tablet, laptop, and smart home device. So far, authentication and encryption matters such as WPA2/WPA3 attacks have gotten much attention from the security research community. However, due to the ubiquity of WiFi in our life, the surveillance concerns in WiFi, such as tracking, are substantial. This paper explains how thieves might utilize passive WiFi sensing to conduct surveillance and determine whether the owner of a house is at home (in order to get into the house and take goods). Unlike previous research, we conduct this analysis using the latest commercial WiFi generation, IEEE 802.11ax. The assessment findings demonstrate that our system can reliably detect when a person enters or exits a room, even when the signal receiver is at a sibling room or non-line-of-sight location. This capability indicates that WiFi surveillance/privacy issues are genuine and significant. Additionally, this is beneficial for monitoring activity and supplementing a camera-based system in inaccessible regions.
DM13: Adaptive Beam Management for Secure mmWave Communications Using Software-Defined Radios
Authors:
Adrian L Baron-Hyppolite; Jefferson Viana Fonseca Abreu; Joao F. Santos; Luiz DaSilva; Jacek Kibiłda
Abstract:
mmWave systems leverage beamforming to generate narrow, high-powered beams to overcome increased path loss in the mmWave spectrum. These beams are spatially confined, making mmWave links more resilient to different types of attackers, e.g., eavesdroppers and jammers. However, as part of the Initial Access (IA) procedure, which mmWave radios use to locate each other and establish communication, they exhaustively transmit/receive reference symbols to/from all possible angular directions in their codebooks, making the mmWave radios suscep- tible to eavesdropping and jamming attacks, respectively. In this demonstration, we showcase a secure beam management solution where our mmWave radios perform an adaptive IA procedure that avoids transmitting/receiving to/from directions of potential attackers. We employ a Reinforcement learning (RL) agent to control the IA and dynamically perform more restrictive sweeps using a subset of beams in the mmWave radios' codebook to avoid the locations of potential attackers, based on a new metric that quantifies the secrecy capacity over a pre-defined area.
DM14: BeamArmor Demo: Anti-Jamming System in Cellular Networks With srsRAN Software Radios
Authors:
Ish Kumar Jain; Frederik Jonathan Zumegen; Dinesh Bharadia
Abstract:
This demo paper presents BeamArmor, an innovative real-time system aimed at monitoring and mitigating jamming attacks within cellular networks. Jamming attacks pose significant threats to normal network operations, causing disruptions in communication services and jeopardizing emergency situations. In this work, we emphasize the demonstration of BeamArmor through a realistic setup employing the srsRAN 5G cellular network stack in conjunction with USRP software-defined radios (SDRs) in an over-the-air wireless environment. We show that a jammer device close to the base station can bring the link down to an outage. The cellular link can be restored by turning on BeamArmor's anti-jamming using MIMO null-steering. This demo provides valuable insights into the potential of BeamArmor as a reliable and efficient solution to counter jamming attacks in cellular networks.
DM15: Demonstration of Joint SDR/UAV Experiment Development in AERPAW
Authors:
Anıl Gürses; Mark Funderburk; John Kesler; Keith Powell; Talha Faizur Rahman; Özgür Özdemir; Magreth J Mushi; Mihail Sichitiu; Ismail Güvenç; Rudra Dutta; Vuk Marojevic
Abstract:
The Aerial Experimentation and Research Platform for Advanced Wireless (AERPAW) is an outdoor testbed providing the experimenters access to programmable radios and programmable vehicles. A key aspect of AERPAW is its experiment development environment. This demo introduces potential users to the main capabilities of AERPAW's development environment. The demo exercises the main three flexible testbed capabilities, namely the ability of an experimenter to choose a wireless radio setup, a vehicle setup, and to set up traffic. The experiment is then be executed live, and the collected data is post-processed and displayed.
DM16: Interference-Avoiding RFSoC-Based MIMO Links
Authors:
Amir Torabi; George Sklivanitis; Dimitris A. Pados; Elizabeth Serena Bentley; Joseph Suprenant; Michael Medley
Abstract:
We consider the problem of dynamically optimizing multi-antenna wireless links that may or may not be directional for immunity against co-channel interference over a fixed frequency band. In this demo, we present a 4x4 multi-antenna link implemented on the field-programmable-gate-array (FPGA) fabric of the AMD/Xilinx Zynq Ultrascale RFSoC ZCU111 evaluation board to demonstrate dynamic interference avoidance in the presence of either narrowband or wideband co-channel interferers. We demonstrate two modes of operation for the link of interest: (i) beamforming mode with beam steering at Tx and conventional/adaptive null-steering beamformer at Rx, and (ii) diversity mode with no beamforming at either side of the link. We use MATLAB App designer to build a standalone application to visualize the beamforming response and control the configuration of co-channel interferers such as number, modulation, and bandwidth and monitor link parameters including error vector magnitude (EVM), direction-of-arrival (DoA), and received constellation.
DM17: Optimization and Control of Autonomous UAV Swarm for Object Tracking
Authors:
Anand Mahesh Kumar; Mai Abdel Malek; Jeffrey Reed
Abstract:
In our Demonstration, we execute an on-the-fly swarm update based on unexpected or urgent events during the missions to avoid collisions and ensure mission safety. This demo shows a military mission for security operations to use a swarm of UAVs to take out other adversaries' UAVs in a restricted area, which requires advanced swarm synchronization and on-the-fly decisions.
DM18: Demonstration of 5G-Underlay Signal Co-Existence
Authors:
Kumar Sai Bondada; Xiang Cheng; Hanchao Yang; Daniel Jakubisin; Nishith Tripathi; Gustave Anderson; Yaling Yang; Jeffrey Reed
Abstract:
Our demonstration showcases the proof-of-concept for a 5G compatible underlay within 5G standalone (SA) srsRAN software with underlay transmission at the gNodeB and reception at the user equipment (UE). We used two links between gNodeB and UE, i.e., a zeroMQ link to test and evaluate the functionality of underlay in controlled channel environments and an over-the-air link using software-defined radios to demonstrate the underlay-5G coexistence. Our demonstration illustrates that low-data rate resilient communication is possible through an underlay concurrent with other 5G NR channels (specifically, the PDSCH) without disrupting their transmissions. The proposed approach does not require any modifications to the 5G standards-defined waveform or infrastructure.
DM19: Live Demonstration of Spectrum Maximization and Encryption Techniques for 5G and Wideband NFC Applications
Authors:
Scott Velazquez; Robert Shanafelt; Brennan Eveland
Abstract:
Novel techniques for significantly increasing 5G spectrum efficiency, providing obfuscated communications overlaid undetectably on top of 5G signaling, and wideband data transfer over near field coupled links will be demonstrated with a custom configured software defined radio (SDR) system. First, an adaptive antenna array approach to in-band full-duplex (IBFD) communications will be demonstrated with 5G compliant waveforms. The technique uses multiport transceivers and multi-element arrays at both ends of the link to provide self-interference rejection to allow the doubling of spectral efficiency via simultaneous transmission and reception (STAR). The demonstration will confirm up to 120 dB self-interference cancellation. Second, a new overlay modulation technique called "Orbital Modulation" will be demonstrated in a 5G compliant system. By using self-interference cancellation techniques, this method allows for the addition of non-interfering communication channels to existing systems operating in the same frequency band simultaneously with the original signal to provide true spectrum sharing. This innovative technique enables concealed and encrypted communications without requiring additional spectrum and can appreciably increase the data rates of traditional communication systems (if desired) without requiring additional spectrum. Finally, the custom SDR platform will also be used to demonstrate wideband communications using near field coupling to provide >100 Mbits/s data transfer over short distances, similar in concept to NFC but with orders of magnitude increased data transfer rate. This technique provides proximity security, low RF emissions, and low power "tap to transfer" capability for large data files
