Performance Analysis of Opportunistic Channel Bonding in Multi-Channel WLANs. - Mengqi Han; Sami Khairy; Lin X. Cai; Yu Cheng 003 (GLOBECOM, 2016)

A Hybrid-LBT MAC with Adaptive Sleep for LTE LAA Coexisting with Wi-Fi over Unlicensed Band. - Sami Khairy; Lin X. Cai; Yu Cheng 003; Zhu Han 001; Hangguan Shan (GLOBECOM, 2017)

Enabling efficient multi-channel bonding for IEEE 802.11ac WLANs. - Sami Khairy; Mengqi Han; Lin X. Cai; Yu Cheng 003; Zhu Han 001 (ICC, 2017)

Performance Analysis of Video Services over WLANs with Channel Bonding. - Mengqi Han; Sami Khairy; Lin X. Cai; Yu Cheng 003; Fen Hou (VTC Fall, 2017)

A Performance Comparison of LBE Based Coexistence Protocols for LAA and Wi-Fi. - Mengqi Han; Sami Khairy; Zhao Chen 002; Lin X. Cai; Yu Cheng 003 (ICC, 2018)

Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems. - Sami Khairy; Ruslan Shaydulin; Lukasz Cincio; Yuri Alexeev; Prasanna Balaprakash (CoRR, 2019)

Sustainable Wireless IoT Networks With RF Energy Charging Over Wi-Fi (CoWiFi). - Sami Khairy; Mengqi Han; Lin X. Cai; Yu Cheng 003 (IEEE Internet Things J., 2019)

A Renewal Theory Based Analytical Model for Multi-Channel Random Access in IEEE 802.11ac/ax. - Sami Khairy; Mengqi Han; Lin X. Cai; Yu Cheng 003; Zhu Han 001 (IEEE Trans. Mob. Comput., 2019)

Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems. - Sami Khairy; Ruslan Shaydulin; Lukasz Cincio; Yuri Alexeev; Prasanna Balaprakash (AAAI, 2020)

Optimizing Non-Orthogonal Multiple Access in Random Access Networks. - Ziru Chen; Yong Liu 005; Sami Khairy; Lin X. Cai; Yu Cheng 003; Ran Zhang 001 (VTC Spring, 2020)

Multi-agent Reinforcement Learning for Green Energy Powered IoT Networks with Random Access. - Mengqi Han; Luis Arocas Del Castillo; Sami Khairy; Xuehan Chen; Lin X. Cai; Bin Lin 001; Fen Hou (VTC Fall, 2020)

Enabling Sustainable Underwater IoT Networks With Energy Harvesting: A Decentralized Reinforcement Learning Approach. - Mengqi Han; Jianli Duan; Sami Khairy; Lin X. Cai (IEEE Internet Things J., 2020)

Capacity Analysis of Opportunistic Channel Bonding Over Multi-Channel WLANs Under Unsaturated Traffic. - Mengqi Han; Sami Khairy; Lin X. Cai; Yu Cheng 003; Fen Hou (IEEE Trans. Commun., 2020)

Reinforcement Learning for Efficient and Fair Coexistence Between LTE-LAA and Wi-Fi. - Mengqi Han; Sami Khairy; Lin X. Cai; Yu Cheng 003; Ran Zhang 001 (IEEE Trans. Veh. Technol., 2020)

Learning-Based Distributed Random Access for Multi-Cell IoT Networks with NOMA. - Sami Khairy; Prasanna Balaprakash; Lin X. Cai; H. Vincent Poor (CoRR, 2021)

Constrained Deep Reinforcement Learning for Energy Sustainable Multi-UAV Based Random Access IoT Networks With NOMA. - Sami Khairy; Prasanna Balaprakash; Lin X. Cai; Yu Cheng 003 (IEEE J. Sel. Areas Commun., 2021)

Multifidelity Reinforcement Learning with Control Variates. - Sami Khairy; Prasanna Balaprakash (CoRR, 2022)

Numerical evidence against advantage with quantum fidelity kernels on classical data. - Lucas Slattery; Ruslan Shaydulin; Shouvanik Chakrabarti; Marco Pistoia; Sami Khairy; Stefan M. Wild (CoRR, 2022)

Data-Driven Random Access Optimization in Multi-Cell IoT Networks Using NOMA. - Sami Khairy; Prasanna Balaprakash; Lin X. Cai; H. Vincent Poor (IEEE Trans. Wirel. Commun., 2022)

Real-time Bandwidth Estimation from Offline Expert Demonstrations. - Aashish Gottipati; Sami Khairy; Gabriel Mittag; Vishak Gopal; Ross Cutler (CoRR, 2023)

ACM MMSys 2024 Bandwidth Estimation in Real Time Communications Challenge. - Sami Khairy; Gabriel Mittag; Vishak Gopal; Francis Y. Yan; Zhixiong Niu; Ezra Ameri; Scott Inglis; Mehrsa Golestaneh; Ross Cutler (MMSys, 2024)

Balancing Generalization and Specialization: Offline Metalearning for Bandwidth Estimation. - Aashish Gottipati; Sami Khairy; Yasaman Hosseinkashi; Gabriel Mittag; Vishak Gopal; Francis Y. Yan; Ross Cutler (CoRR, 2024)

Streetwise Agents: Empowering Offline RL Policies to Outsmart Exogenous Stochastic Disturbances in RTC. - Aditya Soni; Mayukh Das; Anjaly Parayil; Supriyo Ghosh; Shivam Shandilya; Ching-An Cheng; Vishak Gopal; Sami Khairy; Gabriel Mittag; Yasaman Hosseinkashi; Chetan Bansal (CoRR, 2024)

Multi-fidelity reinforcement learning with control variates. - Sami Khairy; Prasanna Balaprakash (Neurocomputing, 2024)

A safe reinforcement learning algorithm for supervisory control of power plants. - Yixuan Sun; Sami Khairy; Richard B. Vilim; Rui Hu; Akshay J. Dave (Knowl. Based Syst., 2024)

A Gradient-Aware Search Algorithm for Constrained Markov Decision Processes. - Sami Khairy; Prasanna Balaprakash; Lin X. Cai (IEEE Trans. Neural Networks Learn. Syst., 2024)