TurboRAN - An Over-the-Air 5G Testbed

Publications

Journal Articles
1. M. Manalastas, M. U. B. Farooq, S. M. A. Zaidi, and A. Imran, "Towards the Development of 6G System Level Simulators: Addressing the Computational Complexity Challenge," IEEE Wireless Communications [Accepted], April 2023.
2. H. N. Qureshi, U. Masood, M. Manalastas, A. Zaidi, H. Farooq, J. Forgeat, M. Bouton, S. Bothe, P. Karlsson, A. Rizwan, and A. Imran, "Towards Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework," IEEE Communications Surveys and Tutorials [Accepted], March 2023.
3. A. Ijaz, W. Raza, H. Farooq, M. Manalastas and A. Imran, "An AI-Enabled Framework to Defend Ingenious MDT-based Attacks on the Emerging Zero Touch Cellular Networks," IEEE Network, March 2023, doi: 10.1109/MNET.006.2100377.
4. S. M. A. Zaidi, M. Manalastas, M. U. B. Farooq, H. Qureshi, A. Abu-Dayya, and A. Imran, "A Data Driven Framework for QoE-Aware Intelligent EN-DC Activation," IEEE Transactions on Vehicular Technology, pp. 1-14, October 2022, doi: 10.1109/TVT.2022.3211741.
5. M. S. Riaz, H. N. Qureshi, U. Masood, A. Rizwan, A. Abu-Dayya and A. Imran, "A Hybrid Deep Learning-Based (HYDRA) Framework for Multifault Diagnosis Using Sparse MDT Reports," IEEE Access, vol. 10, pp. 67140-67151, June 2022, doi: 10.1109/ACCESS.2022.3185639.
6. M. Manalastas, M. Nabeel, A. Ijaz, S. M. A. Zaidi, U. Masood, H. N. Qureshi, H. Refai, and A. Imran, "Design Considerations and Deployment Challenges for TurboRAN 5G and Beyond Testbed," IEEE Access, pp. 1-1, April 2022, doi: 10.1109/ACCESS.2022.3166947.
7. H. N. Qureshi, M. Manalastas, A. Imran, and M. O. Al Kalaa, "Service Level Agreements for 5G-Enabled Healthcare Systems: Challenges and Considerations," IEEE Network, vol. 36, issue. 1, pp. 181 - 188, December 2021, doi: 10.1109/MNET.011.2100343.
8. H. Farooq, A. Asghar, and A. Imran, "Mobility Prediction Based Proactive Dynamic Network Orchestration for Load Balancing With QoS Constraint (OPERA)," IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vol. 69, no. 3, pp. 3370-3383, March 2020, doi: 10.1109/TVT.2020.2966725.
9. H. N. Qureshi, and A. Imran, "Optimal Bin Width for Autonomous Coverage Estimation Using MDT Reports in the Presence of User Positioning Error," IEEE Communications Letters, vol. 23, no. 4, pp. 716-719, April 2019, doi: 10.1109/LCOMM.2019.2899094.
10. H. Farooq, A. Asghar, and A. Imran, "Mobility Prediction-Based Autonomous Proactive Energy Saving (AURORA) Framework for Emerging Ultra-Dense Networks," IEEE Transactions on Green Communications and Networking, vol. 2, no. 4, pp. 958-971, December 2018, doi: 10.1109/TGCN.2018.2858011. This solution won first prize in IEEE Green ICT International competition for Best Solution, held in Paris, 2017. The competing teams included participants from over 30 countries.
11. A. Asghar, H. Farooq, and A. Imran, "Concurrent Optimization of Coverage, Capacity, and Load Balance in HetNets Through Soft and Hard Cell Association Parameters," IEEE Transactions on Vehicular Technology, vol. 67, no. 9, pp. 8781-8795, September 2018, doi: 10.1109/TVT.2018.2846655.
12. A. Asghar, H. Farooq, and A. Imran, "Self-Healing in Emerging Cellular Networks: Review, Challenges, and Research Directions," IEEE Communications Surveys & Tutorials, vol. 20, no. 3, pp. 1682-1709, July 2018, doi: 10.1109/COMST.2018.2825786.
13. A. Zoha, A. Saeed, H. Farooq, A. Rizwan, A. Imran, and M. A. Imran, "Leveraging intelligence from network CDR data for interference aware energy consumption minimization," IEEE Transactions on Mobile Computing, vol. 17, no. 7, pp. 1569-1582, July 2018, doi: 10.1109/TMC.2017.2773609.
Peer Reviewed Conference Papers
1. M. S. Riaz, H. N. Qureshi, U. Masood, A. Rizwan, A. Abu-Dayya, and A. Imran, "Deep Learning-based Framework for Multi-Fault Diagnosis in Self-Healing Cellular Networks," IEEE Wireless Communications and Networking Conference (WCNC 2022), pp. 746-751, April 2022, doi: 10.1109/WCNC51071.2022.9771947.
2. M. Nabeel, M. Manalastas, A. Ijaz, H. Refai, and A. Imran, "Investigating Handover Behavior with 5G and Beyond TurboRAN Testbed," Seventh International Conference On Mobile And Secure Services (MobiSecServ), pp. 1-6, February 2022, doi: 10.1109/MobiSecServ50855.2022.9727204.
3. M. U. B. Farooq, M. Manalastas, W. Raza, A. Ijaz, S.M.A. Zaidi, A. Abu-Dayya, and A. Imran, " Data Driven Optimization of Inter-Frequency Mobility Parameters for Emerging Multi-band Networks," IEEE Global Communications Conference (GLOBECOM), pp. 1-6, IEEE, December 2020, doi: 10.1109/GLOBECOM42002.2020.9348101.
4. S. M. A. Zaidi, M. Manalastas, A. Abu-Dayya, and A. Imran, "AI-Assisted RLF Avoidance for Smart EN-DC Activation," IEEE Global Communications Conference (GLOBECOM), pp. 1-6, IEEE, December 2020, doi: 10.1109/GLOBECOM42002.2020.9322339.
5. J. Shodamola, U. Masood, M. Manalastas, and A. Imran, " A Machine Learning based Framework for KPI Maximization in Emerging Networks using Mobility Parameters," BlackSeaCom, IEEE, May 2020.
6. M. Manalastas, H. Farooq, S. A. Zaidi, and A. Imran, "Where to Go Next? : A Realistic Evaluation of AI-Assisted Mobility Predictors for HetNets," IEEE 17th Annual Consumer Communications & Networking Conference (CCNC), pp. 1-6, IEEE, Jan, 2020, doi: 10.1109/CCNC46108.2020.9045127.
7. U. Masood, H. Farooq, and A. Imran, "A Machine Learning based 3D Propagation Model for Intelligent Future Cellular Networks," IEEE Global Communications Conference (GLOBECOM), pp. 1-6, IEEE, December 2019, doi: 10.1109/GLOBECOM38437.2019.9014187.
8. H. Farooq, A. Imran, and M. Jaber, "AI empowered Smart User Association in LTE Relays HetNets," IEEE International Conference on Communications Workshops (ICC Workshops), pp. 1-6, IEEE, August 2019, doi: 10.1109/ICCW.2019.8756942.
9. H. Gebre, H. Farooq, and A. Imran, "What machine learning predictor performs best for mobility prediction in cellular networks?," IEEE International Conference on Communications Workshops (ICC Workshops), pp. 1-6, IEEE, August 2019.
10. A. Asghar, H. Farooq, and A. Imran, "Outage Detection for Millimeter Wave Ultra-Dense HetNets in High Fading Environments," IEEE International Conference on Communications (ICC), pp. 1-6, IEEE, August 2019, doi: 10.1109/ICC.2019.8762054.
11. U. Masood, A. Asghar, A. Imran, and A. N. Mian, "Deep Learning Based Detection of Sleeping Cells in Next Generation Cellular Networks," IEEE Global Communications Conference (GLOBECOM), pp. 206-212, IEEE, December 2018, doi: 10.1109/GLOCOM.2018.8647689.

Tutorials

Ali Imran, Moving Towards Zero-Touch Automation, A Key Enabler for 6G: Addressing the Training Data Sparsity/Scarcity Challenge a half day tutorial at IEEE BlackSeaCom 2020, May 26-29, 2020.
Ali Imran, Muhammad Ali Imran, Moving Towards Zero-Touch Automation, A Key Enabler for 6G: The Challenges & Opportunities a half day tutorial at IEEE Wireless Communications and Networking Conference, May 25-28, 2020.
Ali Imran, Muhammad Ali Imran, "LEAP for IoT- LEAN, Elastic, Agile and Proactive (LEAP) Wireless Networks for Enabling IoT", a half day tutorial at 2017 IEEE PIMRC, Montreal, 8-13 Oct 2017.
Ali Imran, "Can mmWave, massive MIMO and densification suffice to meet capacity and QoS requirements in emerging IoT?", half day seminar at International Conference on Communications Technologies (ComTech-2017), Pakistan, 19-21 October, 2017.
Ali Imran "CDSA and BSON: The Two Key Enablers of Lean, Elastic and Proactive Wireless Networks Needed for Future IoT", a half day tutorial to be delivered at 2016 IEEE 3rd World Forum on Internet of Things, Washington DC, 6-8 Dec, 2017.

Keynotes/Invited Talks

Ali Imran "Addressing the Hyper Parameterization Challenge in AI for Wireless Networks", panel talk at, IEEE Globecom, Dec, 9-13-2019
Ali Imran "AI enabled Zero Touch automation for 5G and beyond" invited talk, 5G NA, Silicon Valley, Nov 13-14, 2019.
Ali Imran "5G Networks, AI and Machine Learning Empowering the Enterprise Digital Transformation", keynote in AI for Telcom track at AIWorld, 23-25, Oct, 2019. Boston, MA, 2019.
Ali Imran "Role of AI in Emerging Networks: 5G and Beyond", keynote at 12th IEEE International Conference on Open Source Systems and Technologies, 19-21, Dec, 2018 (IEEE ICOSST 2018), Lahore, Pakistan.
Ali Imran "Network Automation: Fundamental Challenges, Solution Approaches and Opportunities", invited talk at Summer School Sponsored by IEEE ComSoc and HEC at LUMS, Aug 9, 2018, Lahore, Pakistan
Ali Imran "Towards Next Generation AI Enabled SON", invited seminar at T-Mobile HQ, April 16, 2018 Seattle, WA.
Ali Imran "Future of Open Source Software Defined Big Data Enabled RAN", keynote at 11th international conference on open source system and technologies, Dec 18-20, 2017, Lahore, Pakistan.
Ali Imran "Next Generation Artificial Intelligence Based RAN", invited talk in an industry panel at RAN USA, Dec 4, 2017, Silicon Valley, USA.

Publications

Journal Articles

Peer Reviewed Conference Papers

Tutorials

Keynotes/Invited Talks