9 research outputs found
Demo: Intelligent Radar Detection in CBRS Band in the Colosseum Wireless Network Emulator
The ever-growing number of wireless communication devices and technologies
demands spectrum-sharing techniques. Effective coexistence management is
crucial to avoid harmful interference, especially with critical systems like
nautical and aerial radars in which incumbent radios operate mission-critical
communication links. In this demo, we showcase a framework that leverages
Colosseum, the world's largest wireless network emulator with
hardware-in-the-loop, as a playground to study commercial radar waveforms
coexisting with a cellular network in CBRS band in complex environments. We
create an ad-hoc high-fidelity spectrum-sharing scenario for this purpose. We
deploy a cellular network to collect IQ samples with the aim of training an ML
agent that runs at the base station. The agent has the goal of detecting
incumbent radar transmissions and vacating the cellular bandwidth to avoid
interfering with the radar operations. Our experiment results show an average
detection accuracy of 88%, with an average detection time of 137 ms.Comment: 2 pages, 4 figure
Twinning Commercial Radio Waveforms in the Colosseum Wireless Network Emulator
Because of the ever-growing amount of wireless consumers, spectrum-sharing
techniques have been increasingly common in the wireless ecosystem, with the
main goal of avoiding harmful interference to coexisting communication systems.
This is even more important when considering systems, such as nautical and
aerial fleet radars, in which incumbent radios operate mission-critical
communication links. To study, develop, and validate these solutions, adequate
platforms, such as the Colosseum wireless network emulator, are key as they
enable experimentation with spectrum-sharing heterogeneous radio technologies
in controlled environments. In this work, we demonstrate how Colosseum can be
used to twin commercial radio waveforms to evaluate the coexistence of such
technologies in complex wireless propagation environments. To this aim, we
create a high-fidelity spectrum-sharing scenario on Colosseum to evaluate the
impact of twinned commercial radar waveforms on a cellular network operating in
the CBRS band. Then, we leverage IQ samples collected on the testbed to train a
machine learning agent that runs at the base station to detect the presence of
incumbent radar transmissions and vacate the bandwidth to avoid causing them
harmful interference. Our results show an average detection accuracy of 88%,
with accuracy above 90% in SNR regimes above 0 dB and SINR regimes above -20
dB, and with an average detection time of 137 ms.Comment: 8 pages, 13 figures, 2 table
Colosseum as a Digital Twin: Bridging Real-World Experimentation and Wireless Network Emulation
Wireless network emulators are being increasingly used for developing and
evaluating new solutions for Next Generation (NextG) wireless networks.
However, the reliability of the solutions tested on emulation platforms heavily
depends on the precision of the emulation process, model design, and parameter
settings. To address, obviate or minimize the impact of errors of emulation
models, in this work we apply the concept of Digital Twin (DT) to large-scale
wireless systems. Specifically, we demonstrate the use of Colosseum, the
world's largest wireless network emulator with hardware-in-the-loop, as a DT
for NextG experimental wireless research at scale. As proof of concept, we
leverage the Channel emulation scenario generator and Sounder Toolchain (CaST)
to create the DT of a publicly-available over-the-air indoor testbed for sub-6
GHz research, namely, Arena. Then, we validate the Colosseum DT through
experimental campaigns on emulated wireless environments, including scenarios
concerning cellular networks and jamming of Wi-Fi nodes, on both the real and
digital systems. Our experiments show that the DT is able to provide a faithful
representation of the real-world setup, obtaining an average accuracy of up to
92.5% in throughput and 80% in Signal to Interference plus Noise Ratio (SINR).Comment: 15 pages, 21 figures, 1 tabl
ESWORD: Implementation of Wireless Jamming Attacks in a Real-World Emulated Network
Wireless jamming attacks have plagued wireless communication systems and will
continue to do so going forward with technological advances. These attacks fall
under the category of Electronic Warfare (EW), a continuously growing area in
both attack and defense of the electromagnetic spectrum, with one subcategory
being electronic attacks. Jamming attacks fall under this specific subcategory
of EW as they comprise adversarial signals that attempt to disrupt, deny,
degrade, destroy, or deceive legitimate signals in the electromagnetic
spectrum. While jamming is not going away, recent research advances have
started to get the upper hand against these attacks by leveraging new methods
and techniques, such as machine learning. However, testing such jamming
solutions on a wide and realistic scale is a daunting task due to strict
regulations on spectrum emissions. In this paper, we introduce eSWORD, the
first large-scale framework that allows users to safely conduct real-time and
controlled jamming experiments with hardware-in-the-loop. This is done by
integrating eSWORD into the Colosseum wireless network emulator that enables
large-scale experiments with up to 50 software-defined radio nodes. We compare
the performance of eSWORD with that of real-world jamming systems by using an
over-the-air wireless testbed (ensuring safe measures were taken when
conducting experiments). Our experimental results demonstrate that eSWORD
follows similar patterns in throughput, signal-to-noise ratio, and link status
to real-world jamming experiments, testifying to the high accuracy of the
emulated eSWORD setup.Comment: 6 pages, 7 figures, 1 table. IEEE Wireless Communications and
Networking Conference (WCNC), Glasgow, Scotland, March 202
Nanoscale Optical Wireless Channel Model for Intra-Body Communications: Geometrical, Time, and Frequency Domain Analyses
Analysis of Light Propagation on Physiological Properties of Neurons for Nanoscale Optogenetics
Miniaturization of implantable devices is an important challenge for future brain-computer interface applications, and in particular for achieving precise neuron stimulation. For stimulation that utilizes light, i.e., optogenetics, the light propagation behavior and interaction at the nanoscale with elements within the neuron is an important factor that needs to be considered when designing the device. This paper analyzes the effect of light behavior for a single neuron stimulation and focuses on the impact from different cell shapes. Based on the Mie scattering theory, the paper analyzes how the shape of the soma and the nucleus contributes to the focusing effect resulting in an intensity increase, which ensures that neurons can assist in transferring light through the tissue toward the target cells. At the same time, this intensity increase can in turn also stimulate neighboring cells leading to interference within the neural circuits. This paper also analyzes the ideal placements of the device with respect to the angle and position within the cortex that can enable axonal biophoton communications, which can contain light within the cell to avoid the interference.acceptedVersionPeer reviewe