Mustafa Özger

Publications

Complete list of peer-reviewed work. Search by year, venue, keyword, or co-author.

Peer-reviewed journal articles

  1. Q. Wang, S. Zhang, M. Özger, and C. Cavdar, “Independent PPO-based robust and scalable three-dimensional configuration for green massive MIMO networks,” IEEE Transactions on Green Communications and Networking, Early Access, 2026.
  2. I. A. Meer, K.-L. Besser, M. Özger, D. Schupke, H. V. Poor, and C. Cavdar, “Hierarchical multi-agent DRL-based dynamic cluster reconfiguration for UAV mobility management,” IEEE Transactions on Cognitive Communications and Networking, vol. 12, pp. 4957–4971, 2025.
  3. S. S. S. G. Seeram, L. Feltrin, M. Özger, and C. Cavdar, “Digital twin-based optimization of service availability in LEO mega-constellations considering handover delays in Open RAN,” International Journal of Satellite Communications and Networking, vol. 0, pp. 1–19, 2025.
  4. O. T. Demir, M. Özger, F. Kara, W.-H. Lee, and E. Björnson, “Near-field SWIPT with gMIMO in the upper mid-band: opportunities, challenges, and the way forward,” IEEE Wireless Communications, Early Access, pp. 1–8, 2025.
  5. D. H. Kim, J.-H. Kim, M. Özger, E. Björnson, and W.-H. Lee, “Level test-inspired SNR estimation-based dataset clustering algorithms for learnability maximization in neural network design,” IEEE Internet of Things Journal, vol. 12, no. 23, pp. 50836–50851, 2025.
  6. S. S. S. G. Seeram, L. Feltrin, M. Özger, S. Zhang, and C. Cavdar, “Handover challenges in disaggregated Open RAN for LEO satellites: tradeoff between handover delay and onboard processing,” Frontiers in Space Technologies, vol. 6, p. 1580005, 2025.
  7. Y. Deng, S. Zhang, I. A. Meer, M. Özger, and C. Cavdar, “Joint trajectory and handover management for UAVs co-existing with terrestrial users: a multi-agent DRL approach,” IEEE Transactions on Cognitive Communications and Networking, vol. 12, pp. 1195–1210, 2025.
  8. L. Zhang, M. Özger, and W.-H. Lee, “A Hankelization-based neural network-assisted signal classification in integrated sensing and communication systems,” IEEE Access, vol. 13, pp. 94648–94657, 2025.
  9. S. Zhang, M. Özger, S. S. S. G. Seeram, I. Godor, L. Feltrin, A. Nordlow, J. Pfeifle, L. Toka, G. Biczok, D. A. Schupke, and C. Cavdar, “6G for connected sky: holistic adaptive combined airspace and non-terrestrial network architecture,” IEEE Wireless Communications, vol. 32, no. 5, pp. 204–211, 2025.
  10. C. Koca, M. Özger, O. Cetinkaya, and O. B. Akan, “Information-theoretic lifetime maximization for IoBNT-enabled sensing,” IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, vol. 11, no. 3, pp. 462–466, 2025.
  11. W.-H. Lee, M. Özger, U. Challita, and T. Song, “Denoising-autoencoder-aided Euclidean distance matrix reconstruction for connectivity-based localization: a low-rank perspective,” Applied Sciences, vol. 15, no. 5, p. 2656, 2025.
  12. B. Mölleryd, M. Özger, M. Westring, A. Nordlöw, D. Schupke, U. Engström, C. Cavdar, M. Lindborg, and N. Sciammetta, “Regulatory and spectrum policy challenges for combined airspace and non-terrestrial networks,” Telecommunications Policy, vol. 49, no. 11, 2025.
  13. O. A. Topal, Z. Li, M. Özger, D. Schupke, E. Björnson, and C. Cavdar, “Millimeter-wave channel modeling and coverage analysis for indoor dense spaces,” IEEE Transactions on Vehicular Technology, vol. 74, no. 1, pp. 5–20, Jan. 2025.
  14. J.-H. Kim, M. Özger, and W.-H. Lee, “CR2Net: a neural network based classifier for Rician and Rayleigh channels via Hankelization,” IEEE Wireless Communications Letters, vol. 13, no. 5, pp. 1235–1239, 2024.
  15. J.-Y. Jeong, M. Özger, and W.-H. Lee, “Compressed sensing vs. auto-encoder: on the perspective of signal compression and restoration,” IEEE Access, vol. 12, pp. 41967–41979, 2024.
  16. J.-H. Kim, D.-H. Kim, M. Özger, and W.-H. Lee, “An NN-aided near-and-far-field classifier via channel Hankelization in XL-MIMO systems,” IEEE Access, vol. 12, pp. 41934–41941, 2024.
  17. I. A. Meer, M. Özger, D. Schupke, and C. Cavdar, “Mobility management for cellular-connected UAVs: model-based versus learning-based approaches for service availability,” IEEE Transactions on Network and Service Management, vol. 21, no. 2, pp. 2125–2139, 2024.
  18. K.-J. Cha, J.-B. Lee, M. Özger, and W.-H. Lee, “When wireless localization meets artificial intelligence: basics, challenges, synergies, and prospects,” Applied Sciences, vol. 13, no. 23, p. 12734, 2023.
  19. I. A. Meer, M. Özger, and C. Cavdar, “Cellular localizability of unmanned aerial vehicles,” Vehicular Communications, vol. 44, 2023.
  20. F. Salehi, M. Özger, and C. Cavdar, “Reliability and delay analysis of 3-dimensional networks with multi-connectivity: satellite, HAPs, and cellular communications,” IEEE Transactions on Network and Service Management, vol. 21, no. 1, pp. 437–450, 2023.
  21. V. Megas, S. Hoppe, M. Özger, D. Schupke, and C. Cavdar, “A combined topology formation and rate allocation algorithm for aeronautical ad hoc networks,” IEEE Transactions on Mobile Computing, vol. 23, no. 1, pp. 12–28, 2022.
  22. M. Özger, E. B. Pehlivanoglu, and O. B. Akan, “Energy-efficient transmission range and duration for cognitive radio sensor networks,” IEEE Transactions on Cognitive Communications and Networking, vol. 8, no. 2, pp. 907–918, Jun. 2022.
  23. W. Li, H. Faragardi, M. Özger, C. Cavdar, and B. Skubic, “Cost-aware service selection in a mobile edge marketplace,” Computer Networks, vol. 205, pp. 1–10, Aug. 2021.
  24. A. Baltaci, E. Dinc, M. Özger, A. Alabbasi, C. Cavdar, and D. Schupke, “A survey of wireless networks for future aerial communications (FACOM),” IEEE Communications Surveys & Tutorials, vol. 23, no. 4, pp. 2833–2884, 2021.
  25. W.-H. Lee, M. Özger, U. Challita, and K. W. Sung, “Noise learning-based denoising autoencoder,” IEEE Communications Letters, vol. 25, no. 9, pp. 2983–2987, Sept. 2021.
  26. M. Tavana, M. Özger, A. Baltaci, B. Schleicher, D. Schupke, and C. Cavdar, “Wireless power transfer for aircraft IoT applications: system design and measurements,” IEEE Internet of Things Journal, vol. 8, no. 15, pp. 11834–11846, Aug. 2021.
  27. W.-H. Lee, M. Özger, and U. Challita, “Geometric sequential learning dynamics,” IEEE Communications Letters, vol. 25, no. 2, pp. 542–545, Feb. 2021.
  28. A. Azari, M. Özger, and C. Cavdar, “Risk-aware resource allocation for URLLC: challenges and strategies with machine learning,” IEEE Communications Magazine, vol. 57, no. 3, pp. 42–48, Mar. 2019.
  29. M. Vondra, M. Özger, D. Schupke, and C. Cavdar, “Integration of satellite and aerial communications for heterogeneous flying vehicles,” IEEE Network, vol. 32, no. 5, pp. 62–69, Sep. 2018.
  30. K. Cepni, M. Özger, and O. B. Akan, “Event estimation accuracy of social sensing with Facebook for social Internet of Vehicles,” IEEE Internet of Things Journal, vol. 5, no. 4, pp. 2449–2456, Aug. 2018.
  31. M. Özger, O. Cetinkaya, and O. B. Akan, “Energy harvesting cognitive radio networking for IoT-enabled smart grid,” Mobile Networks and Applications, vol. 23, no. 4, pp. 956–966, Aug. 2018.
  32. M. Özger, F. Alagoz, and O. B. Akan, “Clustering in multi-channel cognitive radio ad hoc and sensor networks,” IEEE Communications Magazine, vol. 56, no. 4, pp. 156–162, Apr. 2018.
  33. O. B. Akan, O. Cetinkaya, C. Koca, and M. Özger, “Internet of hybrid energy harvesting things,” IEEE Internet of Things Journal, vol. 5, no. 2, pp. 736–746, Apr. 2018.
  34. T. Long, M. Özger, and O. B. Akan, “Energy neutral Internet of Drones,” IEEE Communications Magazine, vol. 56, no. 1, pp. 22–28, Jan. 2018.
  35. M. Özger, E. Fadel, and O. B. Akan, “Event-to-sink spectrum-aware clustering in mobile cognitive radio sensor networks,” IEEE Transactions on Mobile Computing, vol. 15, no. 9, pp. 2221–2233, Sep. 2016.
  36. M. Özger and O. B. Akan, “On the utilization of spectrum opportunity in cognitive radio networks,” IEEE Communications Letters, vol. 20, no. 1, pp. 157–160, Jan. 2016.
  37. D. Kilinc, M. Özger, and O. B. Akan, “On the maximum coverage area of wireless networked control systems with maximum cost-efficiency under convergence constraint,” IEEE Transactions on Automatic Control, vol. 60, no. 7, pp. 1910–1914, Nov. 2014.

Peer-reviewed book chapters

  1. O. Cetinkaya, M. Özger, and O. B. Akan, “Internet of energy harvesting cognitive radios,” pp. 125–150, in Towards Cognitive IoT Networks, Springer Nature, 2019.
  2. M. Özger, O. Cetinkaya, and O. B. Akan, “Energy harvesting cognitive radios in smart cities,” pp. 3–20, in Transportation and Power Grid in Smart Cities: Communication Networks and Services, John Wiley, 2018.
  3. K. Cepni, M. Özger, and O. B. Akan, “Vehicular social sensor networks,” in Vehicular Social Networks, CRC Press, 2017.
  4. M. Özger, E. B. Pehlivanoglu, and O. B. Akan, “Multimedia communication in cognitive radio sensor networks,” in Wireless Multimedia Sensor Networks (WMSNs): Architectures, Protocols and Applications, CRC Press, 2016.
  5. E. B. Pehlivanoglu, M. Özger, and O. B. Akan, “Sensing coverage and connectivity in cognitive radio sensor networks,” in Cognitive Radio Sensor Networks: Applications, Architectures and Challenges, IGI Global, 2014.

Peer-reviewed conference papers

  1. I. A. Meer, A. Baltaci, M. Özger, D. Schupke, and C. Cavdar, “Multi-connectivity for UAVs: a measurement study of integrating cellular, aerial mesh, and LEO satellite links,” IEEE EuCNC, 2026, pp. 1–6.
  2. L. Pelz, A. J. Awan, and M. Özger, “A neuromorphic approach to LDPC decoding with spiking belief propagation,” IEEE EuCNC, 2026, pp. 1–6.
  3. Q. Wang, K. Li, O. A. Topal, O. T. Demir, M. Özger, and C. Cavdar, “Energy saving for cell-free massive MIMO networks: a multi-agent deep reinforcement learning approach,” IEEE ICC, 2026, pp. 1–6.
  4. J. Liu, I. A. Meer, C. Cavdar, and M. Özger, “Incremental learning-based open-set classification of unknown UAVs via RF signal semantics,” IEEE ICC, 2026, pp. 1–6.
  5. S. S. S. G. Seeram, M. Özger, and C. Cavdar, “In-orbit processing and Doppler-adaptive waveforms in O-RAN-enabled LEO networks: how much can we gain?,” IEEE Asilomar, 2025, pp. 1–5.
  6. I. A. Meer, B. Hörmann, M. Özger, F. Geyer, A. Viseras, D. Schupke, and C. Cavdar, “Explainable AI for UAV mobility management: a deep Q-network approach for handover minimization,” IEEE PIMRC, 2025.
  7. S. T. Islam, M. Ganjalizadeh, H. S. Ghadikolaei, and M. Özger, “Enhancing URLLC availability in multi-connectivity scenarios using deep reinforcement learning,” IEEE EuCNC, 2025.
  8. A. Manzoor, M. Özger, and C. Cavdar, “Risk-aware backup path allocation in O-RAN based integrated terrestrial and non-terrestrial networks,” IEEE DRCN, 2025.
  9. F. Giarre, I. A. Meer, M. Masoudi, M. Özger, and C. Cavdar, “Hierarchical multi-agent DRL for soft handovers between edge clouds in Open RAN,” IEEE ICMLCN, 2025.
  10. F. Zhou, P. Wang, M. Özger, and C. Cavdar, “Blind detection of drones using OFDM-based Zadoff-Chu sequences with field tests,” IEEE ICC, 2025.
  11. S. S. S. G. Seeram, L. Feltrin, M. Özger, S. Zhang, and C. Cavdar, “Handover delay minimization in non-terrestrial networks: impact of Open RAN functional splits,” IEEE ASMS/SPSC, Sitges, Spain, 2025, pp. 1–8.Best Paper
  12. A. Manzoor, M. Özger, and C. Cavdar, “Optimizing UAV deployment for enhanced cellular network capacity: a joint optimization approach,” IEEE ICCSPA, Istanbul, Türkiye, 2024, pp. 1–6.
  13. A. Manzoor, M. Özger, D. Schupke, and C. Cavdar, “Combined airspace and non-terrestrial 6G networks for advanced air mobility,” IEEE DRCN, Montreal, QC, Canada, 2024, pp. 1–7.
  14. S. S. S. G. Seeram, L. Feltrin, M. Özger, S. Zhang, and C. Cavdar, “Feasibility study of function splits in RAN architectures with LEO satellites,” IEEE EuCNC & 6G Summit, Antwerp, Belgium, 2024, pp. 1–6.
  15. I. A. Meer, K.-L. Besser, M. Özger, H. V. Poor, and C. Cavdar, “Learning-based dynamic cluster reconfiguration for UAV mobility management with 3D beamforming,” IEEE ICMLCN, Stockholm, Sweden, 2024, pp. 1–6.
  16. J. Chen, M. Özger, and C. Cavdar, “Nash soft actor-critic LEO satellite handover management algorithm for flying vehicles,” IEEE ICMLCN, Stockholm, Sweden, 2024, pp. 1–6.
  17. Y. Deng, I. A. Meer, S. Zhang, M. Özger, and C. Cavdar, “D3QN-based trajectory and handover management for UAVs co-existing with terrestrial users,” IEEE WiOpt, Singapore, 2023, pp. 1–8.
  18. S. S. S. G. Seeram, S. Zhang, M. Özger, A. Grabs, J. Holis, and C. Cavdar, “Aerial base stations: practical considerations for power consumption and service time,” IEEE GLOBECOM, Kuala Lumpur, Malaysia, 2023, pp. 1–6.
  19. K. Hao, J. M. Cortes, and M. Özger, “Counterfactual and causal analysis for AI-based modulation and coding scheme selection,” IEEE GLOBECOM Workshops, Kuala Lumpur, Malaysia, 2023, pp. 1–6.
  20. I. A. Meer, K.-L. Besser, M. Özger, H. V. Poor, and C. Cavdar, “Reinforcement learning-based power allocation for UAVs with varying reliability requirements,” IEEE Asilomar, Pacific Grove, CA, USA, 2023, pp. 724–728.
  21. S. Cheng, O. A. Topal, M. Özger, C. Cavdar, L. Liu, and O. Edfors, “mmWave massive MIMO processing in demanding environments — an aircraft cabin deployment study,” IEEE Asilomar, Pacific Grove, CA, USA, 2023, pp. 1631–1635.
  22. G. N. Sharma, M. Ganjalizadeh, D. Patel, and M. Özger, “Dynamic spatial diversity via reinforcement learning for ultra-reliable low-latency communications,” European Wireless, Rome, Italy, 2023, pp. 284–289.
  23. O. Cetinkaya, M. Özger, and D. De Roure, “Coverage performance of UAV-powered sensors for energy-neutral networks with recharging stations,” IEEE ICC, Rome, Italy, 2023, pp. 2902–2908.
  24. S. Cheng, O. A. Topal, M. Özger, C. Cavdar, L. Liu, and O. Edfors, “A hardware-in-the-loop simulator for mmWave massive MIMO using PYNQ framework,” IEEE MWSCAS, Tempe, AZ, USA, 2023, pp. 698–702.
  25. M. Özger et al., “6G for connected sky: a vision for integrating terrestrial and non-terrestrial networks,” EuCNC/6G Summit, Gothenburg, Sweden, 2023, pp. 711–716.
  26. F. Salehi, M. Özger, N. Neda, and C. Cavdar, “Ultra-reliable low-latency communication for aerial vehicles via multi-connectivity,” EuCNC/6G Summit, Grenoble, France, 2022, pp. 166–171.
  27. A. Bolakhrif, M. Özger, D. Sandberg, and C. Cavdar, “AI-assisted network traffic prediction without warm-up periods,” IEEE VTC-Spring, Helsinki, Finland, 2022, pp. 1–6.
  28. I. A. Meer, W.-H. Lee, M. Özger, C. Cavdar, and K. W. Sung, “Low-latency MAC design for pairwise random networks,” IEEE VTC-Spring, Helsinki, Finland, 2022, pp. 1–6.
  29. O. A. Topal, M. Özger, D. Schupke, E. Björnson, and C. Cavdar, “mmWave communications for indoor dense spaces: ray-tracing based channel characterization and performance comparison,” IEEE ICC, Seoul, Korea, 2022, pp. 516–521.
  30. D. Brunello, I. Johansson S., M. Özger, and C. Cavdar, “Low-latency low-loss scalable throughput in 5G networks,” IEEE VTC-Spring, Helsinki, Finland, 2021, pp. 1–7.
  31. M. Tavana, M. Özger, A. Baltaci, B. Schleicher, J. Tepper, S. Duhovnikov, D. Schupke, and C. Cavdar, “Wireless power transfer system design for low-rate in-cabin applications,” IEEE ICCE, 2021, pp. 235–240.
  32. J. Tepper, A. Baltaci, B. Schleicher, A. Drexler, S. Duhovnikov, M. Tavana, M. Özger, C. Cavdar, and D. Schupke, “Evaluation of RF wireless power transfer for low-power aircraft sensors,” AIAA/IEEE DASC, San Antonio, TX, USA, 2020, pp. 1–6.
  33. A. Azari, F. Ghavimi, M. Özger, R. Jäntti, and C. Cavdar, “Machine learning assisted handover and resource management for cellular connected drones,” IEEE VTC-Spring, Antwerp, Belgium, 2020, pp. 1–7.
  34. D. Tomic, S. Hofmann, M. Özger, D. Schupke, and C. Cavdar, “Quality of service aware traffic management for aircraft communications,” IEEE VTC-Spring, Antwerp, Belgium, 2020, pp. 1–6.
  35. A. Meer, M. Özger, and C. Cavdar, “On the localization of unmanned aerial vehicles with cellular networks,” IEEE WCNC, Seoul, Korea, 2020, pp. 1–6.
  36. P. Wang, M. Özger, C. Cavdar, and M. Petrova, “Beyond visual line of sight piloting of UAVs using millimeter-wave cellular networks,” IEEE PIMRC, Istanbul, Turkey, 2019, pp. 1–6.
  37. I. A. Meer, M. Özger, M. Lundmark, K. W. Sung, and C. Cavdar, “Ground based sense and avoid system for air traffic management,” IEEE PIMRC, Istanbul, Turkey, 2019, pp. 1–6.
  38. S. Hofmann, V. Megas, M. Özger, D. Schupke, F. H. P. Fitzek, and C. Cavdar, “Combined optimal topology formation and rate allocation for aircraft-to-aircraft communications,” IEEE ICC, Shanghai, China, 2019, pp. 1–6.
  39. M. Özger, M. Vondra, and C. Cavdar, “Towards beyond visual line of sight piloting of UAVs with ultra-reliable low-latency communication,” IEEE GLOBECOM, Abu Dhabi, United Arab Emirates, 2018, pp. 1–6.
  40. E. B. Pehlivanoglu, M. Özger, O. Cetinkaya, and O. B. Akan, “Harvesting-throughput trade-off for wireless-powered smart grid IoT applications: an experimental study,” IEEE ICC, Kansas City, MO, USA, 2018, pp. 1–6.
  41. E. Dinc, M. Özger, A. F. Ates, I. Delibalta, and O. B. Akan, “Crowdsourcing-based mobile network tomography for xG wireless systems,” IEEE ISCC, Messina, Italy, 2016, pp. 346–351.Best Paper
  42. M. Özger and O. B. Akan, “Maximization of energy-efficiency under convergence constraint in wireless networked control systems,” IEEE ICC, London, UK, 2015, pp. 5973–5978.
  43. D. Kilinc, M. Özger, and O. B. Akan, “On the maximum coverage area of wireless networked control systems under stability and cost-efficiency constraints,” IEEE GLOBECOM, Atlanta, GA, USA, 2013, pp. 274–279.
  44. M. Özger and O. B. Akan, “Event-driven spectrum-aware clustering in cognitive radio sensor networks,” IEEE INFOCOM, Turin, Italy, 2013, pp. 1483–1491.