Hybrid Lab Meeting, MSU, July 2022
Principal Investigators
Ali Cafer Gurbuz
Assistant Professor: Mississippi State University
Co-director of Information Processing and Sensing (IMPRESS) Lab
email:gurbuz@ece.msstate.edu
Fatemeh Afghah, PhD
Associate Professor
Electrical and Computer Engineering Department
Director, Wireless Networking and Information Processing (WiNIP) Laboratory
Clemson University
email:fafghah@clemson.edu
Nicholas Mastronarde, PhD
Associate Professor
Co-director of Undergraduate Studies
Director, UB Multimedia Communications and Systems Lab (UB MCSL)
Department of Electrical Engineering
University at Buffalo
email:nmastron@buffalo.edu
Graduate Students
Walaa Alqwider
PhD Candidate, Mississippi State University
Role in the project: I am working on the active transmission part of the project, specifically generating custom 5G NR waveforms to study the level of RFI on the remote sensing radiometer. Also, I am working on modeling the 5G resource allocation problem as a Markov decision process in order to use deep reinforcement learning to decide on the resources allocation policy and transmission power level with RFI, throughput, fairness and latency objective functions.
email: wq27@msstate.edu
Md Mehedi Farhad
PhD Candidate, Mississippi State University
Role in the project: I work on the remote sensing instrumentation part of the spectrum coexistence test bed. This development of coexistence techniques and creation of new technology that enhances the existing and future wireless infrastructure. To study this problem, we are developing a unique testbed for collecting remote sensing datasets with ground truth in real-world settings, which will enable training, optimization, and benchmarking the coexistence solutions. The testbed includes (1) a software defined radio (SDR) based radiometer, incorporated with a dual-polarized microwave antenna operating in the L-band (1400 MHz-1427 MHz) and (2) prototyping SDR-based communication systems. I am leading the design and development of the Unmanned Air Systems (UAS)-based dual polarized L-band radiometer.
Email: mf1413@msstate.edu
Radiometer Packaged in a Thermal Encloser
Dual Polarized L-Band Radiometer Antenna
Radiometer Test Inside the Anechoic Chamber
Ahmed Manavi Alam
Ph.D. Candidate, Mississippi State University
Role in the project: I work on the processing part of the "AI-Enabled Spectrum Coexistence between Active Communications and Passive Radio Services". Currently, I am working on developing an AI-driven radio frequency interference (RFI) detection and mitigation algorithm for passive sensors. This algorithm is evaluated with NASA's soil moisture active passive (SMAP) spaceborne mission dataset. I am also working on developing real-time RFI detection and mitigation algorithms with a developed testbed.
email: aa2863@msstate.edu
RFI Hotspots Across The Globe
Mohammad Koosha
PhD Student, Department of Electrical Engineering, University at Buffalo
Role in the project: Mohammad has modeled and analyzed the strength of RFI at a satellite-borne passive sensing system caused by terrestrial downlink 4G/5G communications. He has also designed a new approach to better estimate the noise temperature measured by NASA’s SMAP radiometer. He helped mentor an undergraduate student through UB’s CSTEP program.
email: mkoosha {at} buffalo {dot} edu
Active Terrestrial Wireless Networks and Passive Radiometry
Ali Owfi
Ph.D. student, Department of Electrical and Computer Engineering, Clemson University
Role in the project: I currently work on DL-based models for interference detection and mitigation in wireless coexistence systems. I am also working on the generalization and fast adaptation of dl-based approaches that are applied for wireless interference mitigation and identification using meta-learning.
Email: aowfi@clemson.edu
Anjali Omer
PhD Student, Dept. of Electrical Engineering, University at Buffalo
Role in the project: Anjali has modeled the 4G/5G downlink scheduling problem as a Markov decision process. She is focused on evaluating different cost/reward functions to understand their trade-offs in terms of throughput, delay, buffer overflows, and fairness.
email: anjaliom {at} buffalo {dot} edu
Michael Seguin
PhD Student, Dept. of Electrical Engineering, University at Buffalo
Role in the project: Mike is focused on evaluating different deep reinforcement learning algorithms as candidates for solving the downlink scheduling problem in 4G/5G networks. He has also studied different network simulation and emulation frameworks including Colosseum, srsRAN, and Nokia’s Wireless Suite.
email: mpseguin {at} buffalo {dot} edu
Undergraduate Students
Jamel Usen
Undergraduate Student, Dept. of Electrical Engineering, University at Buffalo
UB CSTEP 2022-2023
Role in the project: Jamel analyzed the strength of RFI at a passive remote sensing satellite induced by a 4G/5G ground station using MATLAB’s satellite and antenna tool boxes. [Poster]
email: jameluse {at} buffalo {dot} edu