David J. Love
Engineering · Purdue University West Lafayette
Publications
493
Citations
17,464
Est. group size
~18
Recurring co-author estimate
Active years
34
Publishing since 1993
David J. Love works on wireless communication systems, with a focus on large antenna arrays (massive MIMO), millimeter-wave and next-generation (6G) networks, and how these systems can be made more efficient, secure, and intelligent using machine learning. His recent work spans topics like integrated sensing and communication, federated learning over wireless networks, reconfigurable intelligent surfaces, and satellite and vehicle-to-grid communication systems. Students in this group would likely engage with mathematically grounded wireless system design combined with applied machine learning techniques.
Publication output has grown over the past decade, rising from around 20 papers per year in 2017-2019 to a peak near 47 in 2023, with recent years remaining high (around 28-31 per year).
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Distributed Machine Learning for Low-Latency Localization in Cell-Free Massive MIMO Systems
IEEE Transactions on Wireless Communications · 2026
- Optimal RIS Placement in Multi-User MISO Systems with User Randomness
2026
- Using Age of Information for Throughput Optimal Spectrum Sharing
2026
- Protecting Legacy Wireless Systems Against Interference: Precoding and Codebook Approaches Using Massive MIMO and Region Constraints
IEEE Transactions on Wireless Communications · 2026
- Real-Time Charging Control for Electric Roadways
IEEE Transactions on Smart Grid · 2026
- Physics-Based Channel Transformation for Wireless Configurations
2026
- A Novel Multibeam Time-Division ISAC Approach with Accurate Sensing
2026
- Robust Over-the-Air Federated Learning Under Imperfect CSI
IEEE Transactions on Wireless Communications · 2026
- A Novel Multibeam Time-Division ISAC Approach for Accurate Sensing Parameter Estimation
IEEE Transactions on Wireless Communications · 2026
- Adaptive Sampling Design for Kalman Filtering
IEEE Signal Processing Letters · 2026
- Unlocking Realism and Interpretability in Wireless Channel Synthesis: A Physics-Guided Generative Approach
IEEE Transactions on Wireless Communications · 2026
- Joint Optimization of User Association and Resource Allocation for Load Balancing With Heterogeneous Fairness
IEEE Transactions on Communications · 2026
- Federated Learning for Cyber Physical Systems: A Comprehensive Survey
IEEE Communications Surveys & Tutorials · 2025
- Key Focus Areas and Enabling Technologies for 6G
IEEE Communications Magazine · 2025
- Ambient IoT: Communications Enabling Precision Agriculture
IEEE Communications Magazine · 2025
- arXiv (Cornell University)×71
- IEEE Transactions on Wireless Communications×19
- IEEE Journal on Selected Areas in Communications×9
- IEEE Transactions on Communications×9
- IEEE Communications Letters×8
- An-An Lu
Engineering · The Ohio State University
- Yi Jiang
Engineering · The Ohio State University
- C. Emre Koksal
Engineering · The Ohio State University
- Seonho Kim
Engineering · The Ohio State University
- Eylem Ekici
Engineering · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile