Common rate maximization in two-layer cellular radio systems. - Kemal Davaslioglu; Ender Ayanoglu (GLOBECOM Workshops, 2012)

Power Control in Multi-Layer Cellular Networks - Kemal Davaslioglu; Ender Ayanoglu (CoRR, 2012)

Interference-based cell selection in heterogenous networks. - Kemal Davaslioglu; Ender Ayanoglu (ITA, 2013)

Quantifying Potential Energy Efficiency Gain in Green Cellular Wireless Networks. - Kemal Davaslioglu; Ender Ayanoglu (IEEE Commun. Surv. Tutorials, 2014)

Efficiency and Fairness Trade-Offs in SC-FDMA Schedulers. - Kemal Davaslioglu; Ender Ayanoglu (IEEE Trans. Wirel. Commun., 2014)

An Energy-Efficient Resource Allocation Algorithm with QoS Constraints for Heterogeneous Networks. - Cemil Can Coskun; Kemal Davaslioglu; Ender Ayanoglu (GLOBECOM, 2015)

Energy-Efficient Resource Allocation for Fractional Frequency Reuse in Heterogeneous Networks. - Kemal Davaslioglu; Cemil Can Coskun; Ender Ayanoglu (IEEE Trans. Wirel. Commun., 2015)

Energy Efficiency and Load Balancing in Next-Generation Wireless Cellular Networks. - Kemal Davaslioglu (2015)

CLOEE - Cross-Layer Optimization for Energy Efficiency of IEEE 802.15.6 IR-UWB WBANs. - Kemal Davaslioglu; Yang Liu 067; Richard D. Gitlin (GLOBECOM, 2016)

New algorithms for maximizing cellular wireless network energy efficiency. - Kemal Davaslioglu; Cemil Can Coskun; Ender Ayanoglu (ITA, 2016)

Energy efficiency and resource allocation of IEEE 802.15.6 IR-UWB WBANs: Current state-of-the-art and future directions. - Yang Liu 067; Kemal Davaslioglu; Richard D. Gitlin (ITA, 2017)

Diversity and network coded 5G fronthaul wireless networks for ultra reliable and low latency communications. - Nabeel I. Sulieman; Eren Balevi; Kemal Davaslioglu; Richard D. Gitlin (PIMRC, 2017)

Energy Efficiency Optimization of Channel Access Probabilities in IEEE 802.15.6 UWB WBANs. - Yang Liu 067; Kemal Davaslioglu; Richard D. Gitlin (WCNC, 2017)

Diversity coded 5G fronthaul wireless networks. - Nabeel Sulieman; Kemal Davaslioglu; Richard D. Gitlin (WTS, 2017)

Three-Stage Resource Allocation Algorithm for Energy-Efficient Heterogeneous Networks. - Cemil Can Coskun; Kemal Davaslioglu; Ender Ayanoglu (IEEE Trans. Veh. Technol., 2017)

Adversarial Deep Learning for Cognitive Radio Security: Jamming Attack and Defense Strategies. - Yi Shi 001; Yalin E. Sagduyu; Tugba Erpek; Kemal Davaslioglu; Zhuo Lu; Jason H. Li (ICC Workshops, 2018)

Generative Adversarial Learning for Spectrum Sensing. - Kemal Davaslioglu; Yalin E. Sagduyu (ICC, 2018)

Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data. - Yi Shi 001; Yalin E. Sagduyu; Kemal Davaslioglu; Jason H. Li (ISSPIT, 2018)

Routing, Network Coding and TCP Support for Wideband HF Communications. - Tugba Erpek; Yalin E. Sagduyu; Yi Shi 001; Maice Costa; Kemal Davaslioglu; Hao Han; Daniel Fayette; Eric Johnson; Elizabeth S. Bentley; Clif Banner (MILCOM, 2018)

Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls. - Yi Shi 001; Yalin E. Sagduyu; Kemal Davaslioglu; Jason H. Li (CoRR, 2018)

Vulnerability Detection and Analysis in Adversarial Deep Learning. - Yi Shi 001; Yalin E. Sagduyu; Kemal Davaslioglu; Renato Levy (Guide to Vulnerability Analysis for Computer Networks and Systems, 2018)

Measuring the Collective Allostatic Load. - Kemal Davaslioglu; Bob Pokorny; Yalin E. Sagduyu; Henrik Molintas; Sohraab Soltani; Rebecca Grossman; Clint A. Bowers (CogSIMA, 2019)

Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments. - Yi Shi 001; Kemal Davaslioglu; Yalin E. Sagduyu; William C. Headley; Michael Fowler; Gilbert Green (DySPAN, 2019)

Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning. - Kemal Davaslioglu; Yalin E. Sagduyu (DySPAN, 2019)

Real-Time Experimentation of Deep Learning-based RF Signal Classifier on FPGA. - Sohraab Soltani; Yalin E. Sagduyu; Raqibul Hasan; Kemal Davaslioglu; Hongmei Deng 001; Tugba Erpek (DySPAN, 2019)

QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning. - Nof Abuzainab; Volkan Isler; Aylin Yener; Tugba Erpek; Kemal Davaslioglu; Yalin E. Sagduyu; Yi Shi 001; Sharon J. Mackey; Mitesh P. Patel; Frank Panettieri; Muhammad A. Qureshi (MILCOM, 2019)

Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification. - Sohraab Soltani; Yalin E. Sagduyu; Raqibul Hasan; Kemal Davaslioglu; Hongmei Deng 001; Tugba Erpek (MILCOM, 2019)

Generative Adversarial Network for Wireless Signal Spoofing. - Yi Shi 001; Kemal Davaslioglu; Yalin E. Sagduyu (WiseML@WiSec, 2019)

How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy. - Brian Kim; Yalin E. Sagduyu; Kemal Davaslioglu; Tugba Erpek; Sennur Ulukus (ACSSC, 2020)

Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels. - Brian Kim; Yalin E. Sagduyu; Kemal Davaslioglu; Tugba Erpek; Sennur Ulukus (CISS, 2020)

Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers. - Brian Kim; Yalin E. Sagduyu; Tugba Erpek; Kemal Davaslioglu; Sennur Ulukus (GLOBECOM (Workshops), 2020)

Over-the-air membership inference attacks as privacy threats for deep learning-based wireless signal classifiers. - Yi Shi 001; Kemal Davaslioglu; Yalin E. Sagduyu (WiseML@WiSec, 2020)

Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers. - Brian Kim; Yalin E. Sagduyu; Tugba Erpek; Kemal Davaslioglu; Sennur Ulukus (ICC, 2021)

Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing. - Yi Shi 001; Kemal Davaslioglu; Yalin E. Sagduyu (IEEE Trans. Cogn. Commun. Netw., 2021)

DeepWiFi: Cognitive WiFi with Deep Learning. - Kemal Davaslioglu; Sohraab Soltani; Tugba Erpek; Yalin E. Sagduyu (IEEE Trans. Mob. Comput., 2021)

Autoencoder Communications with Optimized Interference Suppression for NextG RAN. - Kemal Davaslioglu; Tugba Erpek; Yalin E. Sagduyu (FNWF, 2022)

Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems. - Ziad El Jamous; Kemal Davaslioglu; Yalin E. Sagduyu (MILCOM, 2022)

End-to-End Autoencoder Communications with Optimized Interference Suppression. - Kemal Davaslioglu; Tugba Erpek; Yalin E. Sagduyu (CoRR, 2022)

Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas. - Brian Kim; Yalin E. Sagduyu; Kemal Davaslioglu; Tugba Erpek; Sennur Ulukus (Entropy, 2022)

Machine Learning in NextG Networks via Generative Adversarial Networks. - Ender Ayanoglu; Kemal Davaslioglu; Yalin E. Sagduyu (IEEE Trans. Cogn. Commun. Netw., 2022)

Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers. - Brian Kim; Yalin E. Sagduyu; Kemal Davaslioglu; Tugba Erpek; Sennur Ulukus (IEEE Trans. Wirel. Commun., 2022)

Self-Supervised RF Signal Representation Learning for NextG Signal Classification With Deep Learning. - Kemal Davaslioglu; Serdar Boztas; Mehmet Can Ertem; Yalin E. Sagduyu; Ender Ayanoglu (IEEE Wirel. Commun. Lett., 2023)

Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting in Jamming Mitigation. - Kemal Davaslioglu; Sastry Kompella; Tugba Erpek; Yalin E. Sagduyu (MILCOM, 2024)

I-SCOUT: Integrated Sensing and Communications to Uncover Moving Targets in NextG Networks. - Utku Demir; Kemal Davaslioglu; Yalin E. Sagduyu; Tugba Erpek; Gustave Anderson; Sastry Kompella (MILCOM, 2024)

Augmenting Training Data with Vector-Quantized Variational Autoencoder for Classifying RF Signals. - Srihari Kamesh Kompella; Kemal Davaslioglu; Yalin E. Sagduyu; Sastry Kompella (MILCOM, 2024)

Relay Selection and User Equipment Admission in Resource-Efficient NextG Sidelink Communications. - Yalin E. Sagduyu; Tugba Erpek; Sastry Kompella; Kemal Davaslioglu (CISS, 2025)

MULTI-SCOUT: Multistatic Integrated Sensing and Communications in 5G and Beyond for Moving Target Detection, Positioning, and Tracking. - Yalin E. Sagduyu; Kemal Davaslioglu; Tugba Erpek; Sastry Kompella; Gustave Anderson; Jonathan Ashdown (CoRR, 2025)