Journals

  1. Q. V. Do, Q. -V. Pham and W. -J. Hwang, “Deep Reinforcement Learning for Energy-Efficient Federated Learning in UAV-Enabled Wireless Powered Networks,” in IEEE Communications Letters, vol. 26, no. 1, pp. 99-103, Jan. 2022. (pdf)
  2. Q. V. Do and I. Koo, “Deep Reinforcement Learning Based Dynamic Spectrum Competition in Green Cognitive Virtualized Networks,” in IEEE Access, vol. 9, pp. 52193-52201, Mar. 2021. (pdf)
  3. Q. V. Do and I. Koo, “A Transfer Deep Q-Learning Framework for Resource Competition in Virtual Mobile Networks With Energy-Harvesting Base Stations,” in IEEE Systems Journal, vol. 15, no. 1, pp. 319-330, Mar. 2021. (pdf)
  4. Viet Tuan, P.; Ngoc Son, P.; Trung Duy, T.; Nguyen, S.Q.; Ngo, V.Q.B.; Q. V. Do; Koo, I. Optimizing a Secure Two-Way Network with Non-Linear SWIPT, Channel Uncertainty, and a Hidden Eavesdropper. Electronics, vol. 9, no. 8, p. 1222, Jul. 2020. (pdf)
  5. Q. V. Do, and Insoo Koo, “Actor-critic deep learning for efficient user association and bandwidth allocation in dense mobile networks with green base stations,” in Wireless Networks, Nov. 2019. (pdf)
  6. Q. V. Do, T. N. K. Hoan and I. Koo, “Optimal Power Allocation for Energy-efficient Data Transmission Against Full-duplex Active Eavesdroppers in Wireless Sensor Networks,” in IEEE Sensors Journal, vol. 19, no. 13, pp. 5333-5346, Jul. 2019. (pdf)
  7. Q. V. Do, V. H. Vu & I. Koo (2019) An efficient bandwidth allocation scheme for hierarchical cellular networks with energy harvesting: an actor-critic approach, International Journal of Electronics, vol. 106, no. 10, pp. 1543-1566, Apr. 2019. (pdf)
  8. Q. V. Do and I. Koo, “Learning Frameworks for Cooperative Spectrum Sensing and Energy-efficient Data Protection in Cognitive Radio Networks,” Applied Science, vol. 8, no. 5, p.722, May 2018. (pdf)
  9. Q. V. Do, T.-N.-K. Hoan, and I. Koo, “Energy-Efficient Data Encryption Scheme for Cognitive Radio Networks,” in IEEE Sensors Journal, vol. 18, no. 5, pp. 2050-2059, Mar. 2018. (pdf)
  10. Q. V. Do, I. Koo, “FPGA Implementation of LSB-Based Steganography,” Journal of Information and Communication Convergence Engineering, vol. 15, no. 3, pp. 151-159, Sep. 2017. (pdf)

Conferences

  1. Q. V. Do and I. Koo, “Dynamic Bandwidth Allocation Scheme for Wireless Networks with Energy Harvesting Using Actor-Critic Deep Reinforcement Learning,” 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), Okinawa, Japan, 2019, pp. 138-142. (pdf)
  2. Le The Vinh, Nguyen Doan Quoc Anh, Nguyen Huu Khanh Nhan, Vo Hoang Duy, Nguyen Kieu Tam, Quang Vinh Do, Nguyen Van Hong, “Simulation Study of Void Aggregations in Amorphous ZnO,” in AETA 2016: Recent Advances in Electrical Engineering and Related Sciences. AETA 2016. Lecture Notes in Electrical Engineering, vol. 415, Springer, Cham.
  3. Nguyen Quoc Bao, Tran Hoang Quang Minh, Quang Vinh Do, Nguyen Doan Quoc Anh, Nguyen Thi Phuong Thao, “Influence of Green Phosphor Ce0.67 Tb0.33 MgAl11 O19:Ce,Tb on the Luminescent Properties and Correlated Color Temperature Deviation of Multi-chip White LEDs,” in AETA 2016: Recent Advances in Electrical Engineering and Related Sciences. AETA 2016. Lecture Notes in Electrical Engineering, vol. 415, Springer, Cham.