Research Publications

Books

  1. Huaqing Zhang, Sami Khairy, Lin X. Cai, and Zhu Han, “Resource Allocation in Unlicensed LTE HetNets,” Springer Science + Business Media, LLC, 2018.

Journal Papers

  1. Sami Khairy, Prasanna Balaprakash, Lin X. Cai, H. Vincent Poor, “Data-Driven Random Access Optimization in Multi-Cell IoT Networks with NOMA,” IEEE Transactions on Wireless Communications, December 2021.
  2. Sami Khairy, Prasanna Balaprakash, Lin X. Cai, Yu Cheng, “Constrained Deep Reinforcement Learning for Energy-Sustainable Multi-UAV based Random Access IoT Networks with NOMA,” IEEE Journal on Selected Areas in Communications, Special Issue on Massive Access for 5G and Beyond, August 2020.
  3. Sami Khairy, Prasanna Balaprakash, Lin X. Cai, “A Gradient-Aware Search Algorithm for Constrained Markov Decision Processes,” under the second round of review for the IEEE Transactions on Neural Networks and Learning Systems, May 2020.
  4. Mengqi Han, Sami Khairy, Lin X. Cai, Yu Cheng, Ran Zhang, “Reinforcement learning for efficient and fair coexistence between LTE-LAA and Wi-Fi,” accepted for publication in the IEEE Transactions on Vehicular Technology, May 2020.
  5. Mengqi Han, Jianli Duan, Sami Khairy, Lin X. Cai, “Enabling Sustainable Underwater IoT Networks with Energy Harvesting: A Decentralized Reinforcement Learning Approach,” accepted for publication in the IEEE Internet of Things Journal, April 2020.
  6. Mengqi Han, Sami Khairy, Lin X. Cai, Yu Cheng, Fen Hou, “Capacity Analysis of Opportunistic Channel Bonding over Multi-channel WLANs,” IEEE Transactions on Communications, December 2019.
  7. Sami Khairy, Mengqi Han, Lin X. Cai, Yu Cheng, “Sustainable Wireless IoT Networks with RF Energy Charging over Wi-Fi (CoWiFi),” IEEE Internet of Things Journal, August 2019.
  8. Sami Khairy, Mengqi Han, Lin X. Cai, Yu Cheng, Zhu Han, “A Renewal Theory based Analytical Model for Multi-channel Random Access in IEEE 802.11ac/ax,” IEEE Transactions on Mobile Computing, July 2018.

Conference Papers

  1. Sami Khairy, Prasanna Balaprakash, “Multifidelity Reinforcement Learning with Control Variates,” submitted to the 2022 Conference on Neural Information Processing (NeurIPS-22).
  2. Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash, “Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems,” Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), New York, USA, February 2020.
  3. Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash, “Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems,” Second Workshop on Machine Learning and the Physical Sciences (NeurIPS), Vancouver, Canada, December 2019.
  4. Mengqi Han, Luis Arocas Del Castillo, Sami Khairy, Xuehan Chen, Lin X. Cai, Bin Lin, Fen Hou, “Multi-agent Reinforcement Learning for Green Energy Powered IoT Networks with Random Access,” IEEE 92nd Vehicular Technology Conference (VTC), Victoria, Canada, October 2020.
  5. Ziru Chen, Yong Liu, Sami Khairy, Lin X. Cai, Yu Cheng, Ran Zhang, “Optimizing Non-Orthogonal Multiple Access in Random Access Networks,” IEEE 91st Vehicular Technology Conference (VTC), Antwerp, Belgium, May 2020.
  6. Mengqi Han, Sami Khairy, Zhao Chen, Lin X. Cai, Yu Cheng, “A Performance Comparison of LBE Based Coexistence Protocols for LAA and Wi-Fi,” IEEE International Conference on Communications (ICC), Kansas City, MO, USA, May 2018.
  7. Sami Khairy, Lin X. Cai, Yu Cheng, Zhu Han, Hangguan Shan, “A Hybrid-LBT MAC with Adaptive Sleep for LTE LAA Coexisting with Wi-Fi over Unlicensed Band,” IEEE Global Telecommunications Conference (GLOBECOM), Singapore, December 2017.
  8. Mengqi Han, Sami Khairy, Lin X. Cai, Yu Cheng, “Performance Analysis of of Video Services over WLANs with Multi-channel Bonding,” IEEE 86th Vehicular Technology Conference (VTC), Toronto, Canada, September 2017.
  9. Sami Khairy, Mengqi Han, Lin X. Cai, Yu Cheng, Zhu Han, “Enabling efficient multi-channel bonding for IEEE 802.11ac WLANs,” IEEE International Conference on Communications (ICC), Paris, France, May 2017.
  10. Mengqi Han, Sami Khairy, Lin X. Cai, Yu Cheng, “Performance Analysis of Opportunistic Channel Bonding in Multi-Channel WLANs,” IEEE Global Telecommunications Conference (GLOBECOM), Washington DC, USA, December 2016.

White Papers

  1. Sami Khairy, Prasanna Balaprakash, “Reliable Privacy-Preserving Peer-2-Peer Distributed Reinforcement Learning for Science (RP4RL),” ASCR Workshop on Cybersecurity and Privacy for Scientific Computing Ecosystems, Nov 2021.
  2. Sami Khairy, Prasanna Balaprakash, “Edge Intelligence Meets Cloud Intelligence over 5G: Unmanned Aerial Vehicle Swarm for Extreme Environments,” 5G Enabled Energy Innovation Workshop (5GEEIW), Chicago, Illinois, March 2020.
  3. Sami Khairy, Prasanna Balaprakash, “Challenges and Opportunities for AI-Enabled Science Applications over 5G,” 5G Enabled Energy Innovation Workshop (5GEEIW), Chicago, Illinois, March 2020.

Research Posters

  1. Sami Khairy, Prasanna Balaprakash, “Learning graph structure representation with Markov chains and kernel principal component analysis,” Broader Engagement (BE) Workshop, SIAM Conference on Computational Science and Engineering (CSE21), 2021.
  2. Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash, “Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems,” Harper Court Ribbon Cutting, Grand Opening of Argonne’s Chicago Office, February 2020.
  3. Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash, “Reinforcement Learning for Quantum Approximate Optimization,” International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), Denver, Colorado, November 2019.
  4. Sami Khairy, Lin X. Cai, “Energy Sustainable IoT Networks over Wi-Fi,” Second place winner, Electrical and Computer Engineering Department Day, Illinois Institute of Technology, April 2019.