NSF backs first community platform for smarter wireless

Rice University wireless researchers have received a $1.5 million National Science Foundation (NSF) grant to develop an open-source platform to meet the urgent need of developing and validating machine-learning (ML) based innovations for future wireless networks and mobile applications. 

 

 

The goal of the project led by Yingyan Lin, an assistant professor of electrical and computer engineering at Rice’s Brown School of Engineering, is to develop a first-of-its-kind community platform to turbocharge the research process of inventing novel ML-based techniques for intelligent wireless network management and optimization. 

The project team includes Rahman Doost-Mohammady, Joe Cavallaro, Ang Chen and Ashutosh Sabharwal at Rice, and Atlas Wang at TAMU.

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Yasaman receives prestigious 2020 Marconi Society Young Scholar Award

 

Rice University’s Yasaman Ghasempour has been named a 2020 Marconi Society Paul Baran Young Scholar for her innovative research in ultra high-speed wireless networking.

Ghasempour, a postdoctoral research associate in electrical and computer engineering, received her doctorate from Rice in May. The prestigious Marconi Society award recognizes her groundbreaking achievements as a Ph.D. student, including the first published technique for “link discovery” on terahertz frequency networks.

“‘Beyond 5G’ wireless networks of the future could make these scenarios and many others a reality,” said Ghasempour, who will join Princeton University’s faculty as an assistant professor in 2021. “Because we can share the sensor information with ultra high-speed wireless links, we can form a collaborative sensing and information environment where every device can be a sensing node.”

Named in honor of radio pioneer Guglielmo Marconi, the Marconi Society envisions a world in which all people can create opportunity through the benefits of connectivity. Its Paul Baran Young Scholar Awardsrecognize researchers 27 years old or younger — Marconi’s age when he made his first successful wireless transmission — who have shown extraordinary technical acumen, creativity and promise for using information and communications technology in service of digital inclusion. Ghasempour is one of three 2020 recipients announced today.

 

 

Boubrima and Knightly Win Best Paper Award at ACM DroNet

The paper “Robust Mission Planning of UAV Networks for Environmental Sensing,” authored by Ahmed Boubrima and Edward Knightly was awarded the best paper award at ACM DroNet 2020.

Part of the ASTRO project, in this paper, the team designed and experimentally validated a robust UAV-based air pollution sensing system that leverages the effects of weather conditions on gas sensing quality. They first demonstrated that the dynamic airflow caused by drones’ propellers affects temperature and humidity levels of the ambient air, which then affect the measurement quality of gas sensors. Then, they leverage this fact in order to provide a heterogeneous-sensing-aware optimization of sensing decisions.

New research addresses ‘link discovery’ problem for terahertz data networks

When you open a laptop, an access point can quickly locate it and connect it to the local Wi-Fi network. That ability, known as link discovery, is a basic element of any wireless network, yet very challenging to accomplish in emerging terahertz bands. The challenge arises from the fact the terahertz links need to be directional to compensate for the significantly higher propagation attenuation. Hence, the access point should know where the clients are in order to aim its beam at them. Conventional solutions for this problem involve a brute-force trial-and-error scan of all beam directions; however, the time overhead associated with such exhaustive training severely degrades throughout and disrupts low-latency applications. More importantly, the direction of transmission needs to be continually adjusted as the client moves requiring repeated training and incurring overhead each time.

The research introduces the first single-shot single-antenna link discovery technique that tracks user moves in nanosecond timescales in order to proactively adapt highly directional terahertz beams. We have proposed a novel node architecture in which the access point and clients are equipped with a leaky-wave antenna. This structure is composed of two metal plates with a space between them where radiation can propagate. One of the plates has a narrow slit cut into it, which allows radiation to leak out with the unique property that the emission angle from the waveguide is coupled to the frequency of the input signal.

We excite this antenna with a time-domain terahertz pulse (equivalently, a broadband signal in frequency-domain). Hence, different frequency components are decomposed and emerged at different angles, such that each direction has a unique spectral peak or “color” due to the leaky-wave antenna’s frequency-angle coupling. This forms a novel transmission pattern that we call a “Terahertz Rainbow” (see the picture above). Terahertz Rainbow enables scanning the entire space around the transmitter in nano-second-scale time and only via a single pulse transmission. Now imagine an access point equipped with a leaky-wave antenna and transmitting a terahertz rainbow. Depending upon where a client device is located relative to the access point, it’s going to see a different color coming out of the waveguide. The client just sends a signal back to the access point that says, “I saw yellow,” and now the access point knows exactly where the client is, and can continue tracking it. This technique allows for ultrafast adaptation, which is the key to achieving seamless connectivity.

This work is published in ACM MobiCom and Nature Communications 2020.

Yasaman headed to Princeton for a tenure-track position

 

Yasaman Ghasempour will be joining the Department of Electrical Engineering at Princeton University as an Assistant Professor in 2021. She recently got her Ph.D. in Electrical and Computer Engineering from Rice University advised by Prof. Edward Knightly. She has received her Master’s degree in Electrical and Computer Engineering from Rice University in 2016 and her Bachelor’s degree in Electrical Engineering from Sharif University of Technology in Iran in 2014.

Her research interests include wireless communication and sensing, with a focus on emerging millimeter-wave and terahertz spectrum. Yasaman’s Ph.D. dissertation proposes ways to enhance directional networking by leveraging unique sensing capabilities of mmWave/THz wireless signals, namely, the ability to access a large swath of spectrum flexibly, sparse scattering, and the possibility of directionality in small form factors by using large antenna arrays or unexplored high-frequency antenna structures. She has published in Nature Communications as well as top-tier IEEE and ACM conferences and journals. Yasaman has been named an EECS rising star in 2019. She is also the recipient of Texas Instruments Distinguished Fellowship among multiple IEEE/ACM societies awards.

Full-duplex MIMO coming to next-generation networks

Qualcomm demonstrated full-duplex MIMO as part of their next-generation cellular offerings; see news release. Novel scalable full-duplex MIMO techniques, especially for antenna arrays with large number of antennas like those in Massive MIMO antenna arrays for 5G networks, were proposed by Sabharwal and his team in a sequence of papers; see SoftNull and JointNull. The papers showed that massive MIMO has sufficient degrees of freedom to enable MIMO full-duplex without adding new analog hardware to existing systems that are not designed for in-band full-duplex systems. The papers used channels measurements using Rice Argos massive MIMO testbed that was built using Rice WARP.

Doost-Mohammady Starts as Research Faculty

Starting January 2020, Rahman Doost-Mohammady is appointed as a research faculty at the ECE department of Rice University. Since 2016, Rahman has been at Rice as a Postdoctoral Research Engineer busy with building ArgosNet, the world’s first real-world massive MIMO network testbed at Rice and since 2018 has been the technical lead for the RENEW project, an NSF PAWR platform. He will have dual roles: research novel directions for next-generation wireless systems and continue his role in the RENEW project.

Rahman received his Ph.D. in Computer Engineering from Northeastern University in 2015. He has obtained his Master’s degree in Computer Engineering from Delft University of Technology in 2009 and his Bachelor’s degree in Computer Engineering from Sharif University of Technology in Iran in 2006. His research interests include wireless networking and architecture for next-generation wireless systems.

Rice Wireless tapped for cutting-edge communications research

Rice University and the Army have established a five-year, $30 million cooperative agreement for research to enable advanced materials and next-generation networks. The effort is aimed at unprecedented intelligence, surveillance and reconnaissance specifically focused on next-generation wireless networks and radio frequency (RF) electronics.The networking team aims to create distributed, self-aware networks that can sense attacks and protect themselves by adaption or stealth. The team is co-led by Rice’s Ashutosh Sabharwal, chair of Rice’s Department of Electrical and Computer Engineering (ECE), and Ananthram Swami, senior research scientist in ARL’s Network Science Division, and also includes Rice ECE faculty members Edward Knightly and Santiago Segarra.