Research Areas

The research areas of the group include, but are not limited to:

• Wireless networking

• Network functions virtualization (NFV)

• Software-defined networking (SDN)

• Software-defined radio (SDR)

• Machine learning and deep learning in wireless networks

• Open Radio Access Networks (O-RAN)

• 5G and beyond 5G networks

Research Publications

5G/O-RAN Testbed Development and Experimentation

[1]

Da Silva, M. R. Chowdhury, A. Sathish, A. Tripathi, S. F. Midkiff, and L. DaSilva, “CCI xG Testbed: An O-RAN Based Platform for Future Wireless Network Experimentation”, in IEEE Communications Magazine, vol. 63, no. 2, pp. 62–68, February 2025, doi: 10.1109/MCOM.001.2400322. Link

[2]

A. Tripathi, F. Bashar, M. R. Chowdhury, A. Da Silva, and S. F. Midkiff, “Benchmarking Software Defined Radio Based 5G Deployments With srsRAN: Lessons Learned”, 2025 IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy, 2025, pp. 1-6, doi: 10.1109/WCNC61545.2025.10978285 Link

AI/ML based E2E O-RAN Control

[3]

M.H. Rahman, A. Jain, A. P. Da Silva, S. Singh, M. R. Chowdhury, H. S. Dhillon, and M. Hong, “Leveraging O-RAN SC AI/ML Framework & Non-RT RIC for AI-Driven Network Slice QoS Optimization”, in Proc. IEEE GLOBECOM Wkshp, Cape Town, South Africa, Dec 2024. Link

[4]

A. Tripathi, J. S. R. Mallu, M.H. Rahman, A. Sultana, A. Sathish, A. Huff, et al., “End-to-End O-RAN Control-Loop For Radio Resource Allocation in SDR-Based 5G Network”, MILCOM 2023-2023 IEEE Military Communications Conference (MILCOM), Boston, MA, USA, 2023, pp. 253–254, doi: 10.1109/MILCOM55735.2023.10356030. Link

Spectrum Sharing - CBRS and NR-U

[5]

O.R. Collaco, M.R. Chowdhury, A.P. da Silva, and L. DaSilva, “Enabling CBRS Experimentation through an OpenSAS and SDR-based CBSD”, IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Hoboken, NJ, USA, 2023, pp. 1–2, doi: 10.1109/INFOCOMWKSHPS57453.2023.10225978. Link

[6]

O.R. Collaco, A. Tripathi, and A.P. da Silva, “Enabling AI/ML-based Incumbent Detection in a CBRS Experimental Network Through OpenSAS”, in Proceedings of the ACM Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization (WiNTECH ‘23), New York, USA, 2023, pp. 25–32. Link

[7]

 A. Sathish, M. R. Chowdhury, A. P. da Silva, M. Ghosh, and L. A. DaSilva, “Decoupling Traffic Management from Listen-Before-Talk in the Unlicensed Spectrum with 5G NR-U”, in Proc. IEEE CCNC, Las Vegas, NV, USA, Jan 2025. Link

Conflict Mitigation

[8]

 A. Sultana, C. Adamczyk, M. R. Chowdhury, A. Kliks, and A. P. da Silva, “Experimental evaluation of xApp Conflict Mitigation Framework in O-RAN: Insights from Testbed deployment in OTIC”, accepted in Proc. IEEE INFOCOM Wkshp, London, United Kingdom, May 19–22, 2025. Link

[9]

 A. Sultana, F. Bashar, M. R. Chowdhury, A. P. da Silva, “A Software-Defined Radio based O-RAN Platform for xApp Conflict Detection and Mitigation”, in Proc. IEEE MILCOM Demo, Washington DC, USA, Oct. 2024. Link

Other Works

[10]

M.H. Rahman, M. R. Chowdhury, A. Sultana, A. Tripathi, and A. P. da Silva, “Deep Learning Based Uplink Power Allocation in Multi-Radio Dual Connectivity Heterogeneous Wireless Networks”, in Proc. IEEE PIMRC, Valencia, Spain, Sept. 2024. Link

[11]

 P. Sethi, T. Nguyen, M. R. Chowdhury, S. Pirttikangas, A. P. da Silva, “Fair Consensus in Blockchain with Heterogeneous Miners using Reinforcement Learning aided Adaptive Proof-of-Work”, 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 2024, pp. 937–942, doi: 10.1109/CCNC57312.2024.10434456. Link