Hybrid Lab Meeting, MSU, July 2022

Principal Investigators

Vuk Marojevic

Associate Professor: Mississippi State University

email:vuk.marojevic@ece.msstate.edu 

Mehmet Kurum

Associate Professor: Mississippi State University

email:kurum@ece.msstate.edu

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