Le Liang

Journal papers

2022

• Coverage control for UAV swarm communication networks: A distributed learning approach
  N. Gao, L. Liang, D. Cai, X. Li, and S. Jin, IEEE Internet of Things Journal, vol. 9, no. 20, pp. 19854-19867, Oct. 2022.

• Federated edge learning for the wireless physical layer: Opportunities and challenges
  Y. Cui, J. Guo, X. Li, L. Liang, and S. Jin, China Communications, vol. 19, no. 8, pp. 15-30, Aug. 2022.

• Decentralized federated learning with unreliable communications [Code]
  H. Ye, L. Liang, and G. Y. Li, IEEE Journal of Selected Topics in Signal Processing, vol. 16, no. 3, pp. 487-500, Apr. 2022.

2021

• A lightweight deep network for efficient CSI feedback in massive MIMO systems
  Y. Sun, W. Xu, L. Liang, N. Wang, and G. Y. Li, IEEE Wireless Communication Letters, vol. 10, no. 8, pp. 1840-1844, Aug. 2021.

• A vector processor for mean field Bayesian channel estimation
  D. Dasalukunte, R. Dorrance, L. Liang, and L. Lu, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 29, no. 7, pp. 1348-1359, July 2021.

2020

• Learn to compress CSI and allocate resources in vehicular networks [Code]
  L. Wang, H. Ye, L. Liang, and G. Y. Li, IEEE Transactions on Communications, vol. 68, no. 6, pp. 3640-3653, Jun. 2020

• Deep learning based end-to-end wireless communication systems with conditional GAN as unknown channel [Code]
  H. Ye, L. Liang, G. Y. Li, and B.-H. Juang, IEEE Transactions on Wireless Communications, vol. 19, no. 5, pp. 3133-3143, May 2020.

• Deep-learning-based wireless resource allocation with application to vehicular networks
  L. Liang, H. Ye, G. Yu, and G. Y. Li, Proceedings of the IEEE, vol. 108, no. 2, pp. 341-356, Feb. 2020.

2019

• Spectrum sharing in vehicular networks based on multi-agent reinforcement learning [Code]
  L. Liang, H. Ye, and G. Y. Li, IEEE Journal on Selected Areas in Communications, vol. 37, no. 10, pp. 2282-2292, Oct. 2019.

• Resource allocation for V2X communications: A large deviation theory perspective
  C. Guo, L. Liang, and G. Y. Li, IEEE Wireless Communications Letters, vol. 8, no. 4, pp. 1108–-1111, Aug. 2019.

• Resource allocation for vehicular communications with low latency and high reliability
  C. Guo, L. Liang, and G. Y. Li, IEEE Transactions on Wireless Communications, vol. 18, no. 8, pp. 3887–3902, Aug. 2019.

• Resource allocation for high-reliability low-Latency vehicular communications with packet retransmission
  C. Guo, L. Liang, and G. Y. Li, IEEE Transactions on Vehicular Technology, vol. 68, no. 7, pp. 6219–6230, Jul. 2019.

• Resource allocation for low-latency vehicular communications: An effective capacity perspective
  C. Guo, L. Liang, and G. Y. Li, IEEE Journal on Selected Areas in Communications, vol. 37, no. 4, pp. 905–-917, Apr. 2019.

• Toward intelligent vehicular networks: A machine learning framework
  L. Liang, H. Ye, and G. Y. Li, IEEE Internet of Things Journal, vol. 6, no. 1, pp. 124–135, Feb. 2019.

• Vehicular communications: A network layer perspective
  H. Peng, L. Liang, X. Shen, and G. Y. Li, IEEE Transactions on Vehicular Technology, vol. 68, no. 2, pp. 1064–1078, Feb. 2019.

2018

• Framework of channel estimation for hybrid analog-and-digital processing enabled massive MIMO communications
  L. Pan, L. Liang, W. Xu, and X. Dong, IEEE Transactions on Communications, vol. 66, no. 9, pp. 3902–3915, Sep. 2018.

• Graph-based resource sharing in vehicular communication [Code]
  L. Liang, S. Xie, G. Y. Li, Z. Ding, and X. Yu, IEEE Transactions on Wireless Communications, vol. 17, no. 7, pp. 4579–-4592, Jul. 2018.

• Machine learning for vehicular networks: Recent advances and application examples
  H. Ye, L. Liang, G. Y. Li, J. Kim, L. Lu, and M. Wu, IEEE Vehicular Technology Magazine, vol. 13, no. 2, pp. 94–101, Jun. 2018.

2017

• Vehicular communications: A physical layer perspective
  L. Liang, H. Peng, G. Y. Li, and X. Shen, IEEE Transactions on Vehicular Technology, vol. 66, no. 12, pp. 10647–10659, Dec. 2017.

• Spectrum and power allocation for vehicular communications with delayed CSI feedback [Code]
  L. Liang, J. JoonBeom, S. C. Jha, K. Sivanesan, and G. Y. Li, IEEE Wireless Communications Letters, vol. 6, no. 4, pp. 458-–461, Aug. 2017.

• Resource allocation for D2D-enabled vehicular communications [Code]
  L. Liang, G. Y. Li, W. Xu, IEEE Transactions on Communications, vol. 65, no. 7, pp. 3186–-3197, Jul. 2017.

2014 and earlier

• Low-complexity hybrid precoding in massive multiuser MIMO systems [Code]
  L. Liang, W. Xu, and X. Dong, IEEE Wireless Communications Letters, vol. 3, no. 6, pp. 653–656, Dec. 2014.

• On coordinated multi-point transmission with partial channel state information via delayed feedback
  W. Xu and L. Liang, Wireless Personal Communications, vol. 75, no. 4, pp. 2103–2119, Apr. 2014.

• Limited feedback-based multi-antenna relay broadcast channels with block diagonalization
  L. Liang, W. Xu, and X. Dong, IEEE Transactions on Wireless Communications, vol. 12, no. 8, pp. 4092–4101, Aug. 2013.

Conference papers

• Circular convolutional auto-encoder for channel coding
  H. Ye, L. Liang, and G. Y. Li, in Proceedings of IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2019, pp. 1–5.

• Multi-agent reinforcement learning for spectrum sharing in vehicular networks
  L. Liang, H. Ye, and G. Y. Li, in Proceedings of IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2019, pp. 1–5.

• Resource allocation for low-latency vehicular communications with packet retransmissions
  C. Guo, L. Liang, and G. Y. Li, in Proceedings of IEEE Global Communications Conference (GLOBECOM), 2018, pp. 1–-6.

• Graph-based radio resource management for vehicular networks
  L. Liang, S. Xie, G. Y. Li, Z. Ding, and X. Yu, in Proceedings of IEEE International Conference on Communications (ICC), 2018, pp. 1–6.

• Meeting different QoS requirements of vehicular networks: A D2D-based approach
  L. Liang, G. Y. Li, W. Xu, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, pp. 3734–3738.

• How to approach zero-forcing under RF chain limitations in large mmWave multiuser systems?
  L. Liang, Y. Dai, W. Xu, and X. Dong, in Proceedings of IEEE International Conference on Communications in China (ICCC), 2014, pp. 518–522. (Best Paper Award)

• Performance enhanced transmission in device-to-device communications: Beamforming or interference cancellation?
  W. Xu, L. Liang, S. Jin, J. Li, and M. Lei, in Proceedings of IEEE Global Communications Conference (GLOBECOM), 2012, pp. 4296–4301.

• Adaptive coordinated multi-point transmission based on delayed limited feedback
  L. Liang, W. Xu, and H. Zhang, in Proceedings of IEEE 23rd International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), 2012, pp. 2335–2340.

• Approaching downlink capacity of multiplexing relay channels with imperfect channel information
  W. Xu and L. Liang, in Proceedings of 4th International High Speed Intelligent Communication Forum (HSIC), 2012, pp. 136–138.

Theses

• Resource allocation for vehicular communications (Ph.D. Dissertation, Georgia Institute of Technology, 2018)

• Practical precoding design for modern multiuser MIMO communications (M.A.Sc Thesis, University of Victoria, 2015)

• Cooperative communications in MIMO systems (in Chinese) (B.E. Thesis, Southeast University, 2012)