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2024

  1. X. Gu, C. Zheng, Z. Li, G. Zhou, H. Zhou, and L. Zhao, ¡°Cooperative localization for UAV systems from the perspective of physical clock synchronization¡±, IEEE Journal on Selected Areas in Communications (JSAC), vol. 42, no. 1, pp.21-33, January, 2024.

  2. S. Fu, X. Feng, A. Sultana, and L. Zhao, ¡°Joint power allocation and 3D deployment for UAV-BSs: a game theory based deep reinforcement learning approach¡±, IEEE Transactions on Wireless Communications, vol. 23, no. 1, pp.736-748, January, 2024.

  3. J. Xue, K. Yu, T. Zhang, H. Zhou, L. Zhao, and X. Shen,  ¡°Cooperative deep reinforcement learning enabled power allocation for packet duplication URLLC in multi-connectivity vehicular networks¡±, IEEE Transactions on Mobile Computing, early access, January, 2024.

  4. T. Ma, B. Qian, X. Qin, X. Liu, H. Zhou, and L. Zhao, ¡°Satellite-terrestrial integrated 6G: an ultra-dense LEO networking management architecture¡±, IEEE Wireless Communication Magazine, early access, 2024.

  5. F. Pervez, A. Sultana, C. Yang, and L. Zhao, ¡°Energy and latency efficient joint communicaiton and computation optimization in a multi-UAV assisted MEC network¡±, IEEE Transactions on Wireless Communications, early access, July, 2023.

  6. Y. Chen, K. Li, Y. Wu, J. Huang, and L. Zhao, ¡°Energy efficient task offloading and resource allocation in air-ground integrated MEC systems: a distributed online approach¡±, IEEE Transactions on Mobile Computing, early access, December, 2023.

2023

  1. A. Kumar, L. Zhao, and X. Fernando,  ¡°TAsk offloading and resource allocation in vehicular networks: A Lyapunov-based deep reinforcement learning approach¡±, IEEE Transactions on  Vehicular Technology, vol. 72, no. 10, pp.13360-13373, October, 2023.

  2. X. Qin, T. Ma, Z. Tang, X. Zhang, H. Zhou, and L. Zhao, ¡°Service-aware resource orchestration in ultra-dense LEO satellite-terriestrial integrated 6G: a service function chain approach¡±, IEEE Transactions on Wireless Communication, vol. 22, no. 9, pp.6003-6017, September, 2023.

  3. B. Xu, Z. Kuang, J. Gao, L. Zhao, and C. Wu, ¡°Joint offloading decision and trajectory design for UAV-enabled edge computing with task dependency¡±, IEEE Transactions on Wireless Communications, vol. 22, no. 8, pp.5043-5055, August, 2023.

  4. X. Bi and L. Zhao, ¡°Collaborative caching strategy for RL-based content downloading algorithm in clustered vehicular networks¡±, IEEE Internet of Things Journal, vol. 10, no. 11, pp.9585-9596, June, 2023.

  5. Y. Xu, B. Qian, K. Yu, T. Ma, H. Zhou, and L. Zhao, ¡°Federated learning over fully-decoupled RAN architecture for two-tier computing acceleration¡±, IEEE Journal on Selected Areas in Communications (JSAC), vol. 41, no. 3, pp.789-801, March, 2023.

  6. J. Gao, Z. Kuang, J. Gao, and L. Zhao, ¡°Joint offloading scheduling and resource allocation in vehicular edge computing: a two layer solution¡±, IEEE Transactions on Vehicular Technologes, vol. 72, no. 3, pp.3999-4009, March, 2023.

2022

  1. B. Shen, Y. Wu, J. An, C. Xing, L. Zhao, and W. Zhang, ¡°Random access with massive MIMO-OTFS in LEO satellite communications¡±, IEEE Journal on Selected Areas in Communications (JSAC), vol. 40, no. 10, pp.2865-2881, October, 2022.

  2. F. Pervez, L. Zhao, and C. Yang, ¡°Joint user association, power optimization and trajectory control in an integrated-aerial-terrestrial network¡±, IEEE Transactions on Wireless Communication, vol. 21, no. 5, pp.3279-3290, May, 2022.

  3. L. Tan, Z. Kuang, L. Zhao, and A. Liu, ¡°Energy-efficient joint task offloading and resourc allocation in OFDMA-based collaborative edge computing¡±, IEEE Transactions on Wireless Communication, vol. 21, no. 3, pp.1960-1972, March, 2022.

  4. Q. Chen, Z. Kuang, and L. Zhao, ¡°Multi-user computation offloading and resource allocation for cloud-edge heterogeneous network¡±, IEEE Internet of Things Journal, vol. 9, no. 5, pp.3799-3811, March, 2022.

  5. A. Kumar, L. Zhao, and X. Fernando, ¡°Multi-agent deep reinforcement learning empowered channel allocation in vehicular networks¡±, IEEE Transactions on  Vehicular Technology, vol. 71, no. 2, pp.1726-1736, Feb., 2022.

  6. S. Zhang, J-J. Li, H-B. Luo, J. Gao, L. Zhao, and X. Shen, ¡°Low-latency and fresh content provision in information-centric vehicular networks¡±, IEEE Transactions on Mobile Computing, vol. 21, no. 5, pp.1723-1738, May, 2022.

2021

  1. M. Li, J. Gao, L. Zhao, and X. Shen, ¡°Adaptive computing scheduling for edge-assisted autonomous driving¡±, IEEE Transactions on Vehicular Technology, vol. 70, no. 6, pp.5318-5331, June, 2021.

  2. S. Fu, J. Gao, and L. Zhao, ¡°Collaborative multi-resource allocation in teeerstrial-satellite network towards 6G¡±, IEEE Transactions on Wireless Communication, vol. 20, no. 11, pp.7057-7071, Nov., 2021.

  3. Y.C. Liang, J. Tan, H. Jia, J. Zhang, and L. Zhao, ¡°Realizing intelligent spectrum management for integrated satellite and terrestrial networks¡± (invited), Journal of Communications and Information Networks, vol. 6, no. 1, pp.32-43, March, 2021.

  4. X. Xu, Y.C. Liang, G. Yang, and L. Zhao, ¡°Reconfigurable intelligent surface empowered symbiotic radio over broadacsting signal¡±,  IEEE Transactions on Communication, vol. 69, no. 10, pp.7003-7016, 2021.

  5. J. Gao, S. Zhang, L. Zhao, and X. Shen, ¡°The design of dynamic probabilistic caching with time-invarying content popularity¡±, IEEE Transactions on Mobile Computing, vol. 20, no. 4, pp1672-1684, Apr. 2021.

  6. Q. Chen, Z. Kuang, and L. Zhao, ¡°Multi-user computation offloading and resource allocation for cloud-edge heterogeneous network¡±, IEEE Internet of Things Journal, early access, July, 2021.

  7. H. A. Shah and L. Zhao, ¡°Multi-agent deep reinforcement learning based virtual resource allocation through network function virtualization in Interenet of Things¡±, IEEE Internet of Things Journal, vol. 8, no. 5, pp3410-3421, Mar. 2021.

  8. H.A. Shah, L. Zhao, and I. Kim, ¡°Joint network control and resource allocation for space-terrestrial integrated network through hierarchal deep actor-critic reinforcement learning¡±, IEEE Transactions on Vehicular Technology, vol 70, no. 5, pp4943-4954, May, 2021.

  9. M. Gamaleldin, Z. Liao, M. Asfour, and L. Zhao, ¡°Optimizing the egress route using a new smoke emulator IoT system¡±, IEEE Internet of Things Journal, vol. 8, no. 11, pp.9373-9382, June, 2021.

  10. Y. Chen, Z-Y. Liu, Y-C. Zhang, Y. Wu, X. Chen, and L. Zhao, ¡°Deep reinforcement learning based dynamic resource management for mobile edge computing in industrial Internet of Things¡±, IEEE Transactions on Industrial Informatics, vol. 17, no. 7, pp.4925-4934, July, 2021.

  11.  S. Q. Gong, S. Wang, C. W. Xing, L. Zhao, and J. P. An, ¡°Throughput maximization for intelligent reflecting surface aided MIMO WPCNs with different DL/UL reflection patterns¡±, IEEE Transactions on Signal Processing, vol. 69, pp.2706-2724, July, 2021.

2020

  1. M. Li, N. Cheng, J. Gao, Y. Yang, L. Zhao, and X. Shen, ¡°Energy-efficient UAV-assisted mobile edge computing: resource allocation and trajectory optimization¡±, IEEE Transactions on Vehicular Technology, vol 69, no. 3, pp3424-3438, 2020.

  2. M. Li, J. Gao, L. Zhao, and X. Shen, ¡°Deep reinforcement learning for collaborative edge computing in vehicular networks¡±, IEEE Transactions on Cognitive Communications and Networking, vol. 6, no. 4, pp1122-1135, December, 2020.

  3. M. Li, J. Gao, N. Chen, L. Zhao, and X. Shen, ¡°Decentralized PEV power allocation with power distribution and transportation constraints¡±, IEEE Journal on Selected Areas in Communications, vol. 38, no. 1, pp229-243, 2020.

  4. F. Wang, J. Gao, M. Li, and L. Zhao, ¡°Autonomous PEV charging scheduling using Dyna-Q reinforcement learning¡±, IEEE Transactions on Vehicular Technology, vol. 69, no. 11, pp12609-12620, 2020.

  5. S. Fu, J. Gao, and L. Zhao, ¡°Integrated resource management for terrestrial-satellite systems¡±, IEEE Transactions on Vehicular Technology, vol. 69, no. 3, pp3256-3266, 2020.

  6. S. Fu, Y. Tang, N. Zhang, L. Zhao, S. Wu, ¡°Joint unmanned aerial vehicle (UAV) deployment and power control for Internet of Things networks¡±, IEEE Transactions on Vehicular Technology, vol. 69, no. 4, pp4367-4378, 2020.

  7. N. Ye, X-M Li, H. Yu, L. Zhao, W. Liu, X. Hou,¡°DeepNOMA: a unified framework for NOMA using deep multi-task learning¡±, IEEE Transactions on Wireless Communications, vol. 19, no. 4, pp2208-2225, 2020.

  8. W. Li, X-Y Hu, J. Gao, L.Zhao, and T. Jiang, ¡°Measurements and analysis of propagation channels in vehicle-to-infrastructure scenarios¡±, IEEE Transactions on Vehicular Technology, vol. 69, no. 4, pp.3550-3561, 2020.

  9. A. Sultana, I. Woungang, A. Anpalagan, L. Zhao, and L. Ferdouse, ¡°Efficient resource allocation in SCMA-enabled device-to-device communication for 5G networks¡±, in IEEE Transactions on Vehicular Technology, vol. 69, no. 5, pp.5343-5354, 2020.

  10.  L. Wei, Y. Chen, Y. Zhang, L. Zhao, and L. Y. Chen, "PSPL: a generalized model to convert existing neighbor discovery algorithms to highly-efficient asymmetric ones for heterogeneous IoT devices¡±, IEEE Internet of Things Journal, vol. 7, no. 8, pp.7207-7219, August, 2020.

  11.  Y. Wang, S. Gu, L. Zhao, N. Zhang, W. Xiang, and Q. Zhang,¡°Repairable fountain coded storage system for multi-tier mobile edge caching networks¡±, IEEE Transactions on  Network Science and Engineering, vol. 7, no. 4, pp.2310-2322, Oct-Dec. 2020.

  12.  Q. L. Zhao, L. Feng, L. Zhao, Z. Li, and Y. Liang, ¡°SatOpt partition: dividing throughput-stability region for IEEE 802.11 networks¡±, IEEE Transactions on Vehicular Technology, vol. 69, no. 9, pp10278-10290, September, 2020.

  13.  Z. Kuang, L. B. Zhang, and L. Zhao, ¡°Energy- and spectral efficiency tradeoff with alpha-fairness in energy harvesting D2D communication¡±, IEEE Transactions on Vehicular Technology, vol. 69, no. 9, pp9972-9983, September, 2020.

2019

  1. J. Gao, L. Zhao, and X. Shen, ¡°The study of dynamic caching via State Transition Field - the case of time-invariant popularity¡±, IEEE Transactions on Wireless Communications, vol. 18, No. 12, pp5924-5937, 2019.

  2. J. Gao, L. Zhao, and X. Shen, ¡°The study of dynamic caching via State Transition Field - the case of time-varying popularity¡±, IEEE Transactions on Wireless Communications, vol. 18, No. 12, pp5938-5951, 2019.

  3. S. Fu, F. Fang, L. Zhao, and Z. Ding, ¡°Joint transmission scheduling and power allocation in non-orthogonal multiple access (NOMA)¡±, IEEE Transactions on Communications, vol. 67, No. 11, pp8137-8150, 2019.

  4. S. Fu, L. Zhao, X. Jian, and S. Wu, ¡°Data attachment: a novel type of wireless transmission¡±, IEEE Wireless Communications Magazine, vol. 26, No. 6, pp126-131, December, 2019.

  5. A. Sultana, I. Woungang, L. Zhao, and A. Anpalagan, ¡°Two-tier architecture for spectrum acution in SDN-enabled cloud radio access network¡±, IEEE Transactions on Vehicular Technology, vol. 68, No. 9, pp9191-9204, 2019.

  6.  A. Sultana, L. Zhao, and X. Fernando, ¡°Energy efficient power allocation in underlay and overlay cognitive device-to-device communications¡±, IET Communications, vol. 13, No. 2, pp162-170, 2019.

  7.  L. Wei, Y-R, Chen, L-Y. Chen, L. Zhao, and L. Y. Chen, ¡°A neighbor discovery method based on probabilistic neighbourship model for IoT¡±, IEEE Internet of Things Journal, vol. 6, No. 6, pp9350-9359, December, 2019.

  8.  H. B. Liang, X. Zhang, J. Zhang, Q. Li, S. Zhou and L. Zhao, ¡°A novel adaptive resource allocation model based on SMDP and reinforcement learning algorithm in vehicular cloud system¡±, IEEE Transactions on Vehicular Technology, vol. 68, No. 10, pp10018-10029, 2019.  

  9.  Z. Kuang, L. Li, J. Gao, L. Zhao, and A. Liu, ¡°Partial offloading scheduling and power allocation for mobile edge computing systems¡±, IEEE Internet of Things Journal, vol. 6, No. 4, pp 6774-6785, August, 2019.   

  10.  Q. Li, J. Gao, H. B. Liang, L. Zhao, and X. H. Tang, ¡°Optimal power allocation for wireless sensor powered by dedicated RF energy source¡±, IEEE Transactions on Vehicular Technology, vol. 68, No. 3, pp2791-2801, March, 2019.  

2018

  1. J. Gao, M. S. Li, L. Zhao, and X. Shen,  ¡°Contention intensity based distributed coordination for V2V safety message broadcast", IEEE Transactions on Vehicular Technology, vol. 67, No. 8, pp7523-7537, August, 2018, [link]

  2. J. Gao, L. Zhao, and X. Shen,  ¡°Network utility maximization based on incentive mechanism for truthful reporting of local information", IEEE Transactions on Vehicular Technology, vol. 67, No. 8, pp7523-7537, August, 2018, [link].

  3. A. Sultana, L. Zhao, and X. Fernando, ¡°Energy efficiency power allocation in underlay and overlay cognitive device-to-device communications¡±, IET Communications, October, 2018.

  4. P. He, S. Zhang, L. Zhao, and X. Shen, ¡°Energy-efficient power allocation with individual and sum power constraints¡±, IEEE Transaction on Wireless Communications, vol. 17, No. 8, pp5353-5366, August, 2018, [link].

  5. S. Fu, L.Zhao, Z. Su, and X. Jian, ¡°UAV based relay for wireless sensor networks in 5G systems¡±, MDPI Sensors, vol. 18, No. 8, 2413, July, 2018.

  6. S. Zhang, P. He, K. Suto, P. Yang, L. Zhao and X. Shen, ¡°Cooperative edge caching in user-centric clustered mobile networks", IEEE Transactions on Mobile Computing, vol. 17, No. 8, pp1791-1805, 2018, [link].

  7. P. He, S. Zhang, L.Zhao, and X. Shen, "Multi-channel power allocation for maximizing energy efficiency in wireless networks", IEEE Transactions on Vehicular Technology, vol. 67, No. 7, pp5895-5908, 2018, [link].

  8. Q. Z. Li, L. W. Zhao, J. Gao, H.B. Liang, L. Zhao, X. H. Tang, ¡°SMDP-based coordinated virtual machine allocations in cloud-fog computing systems¡±, IEEE Internet of Things Journal, vol. 5, No. 3, pp1977-1988, 2018, [link].

  9. P. He, M. Li, L.Zhao, B. Venkatesh, and H. W. Li, ¡°Water-filling exact solutions for load balancing of smart power grid systems¡±, IEEE Transactions on Smart Grid, vol. 9, No. 2, pp1397-1407, Febuary, 2018 [link].

  10.  H. Zhu, H. B. Liang, L. Zhao, D. Y. Peng, and L. Xiong, ¡°(l,k)-diversity privacy model for sequential publication with high utility¡±, IEEE Access,  vol. 7, No. 1, pp687-701, December, 2018.

2017

  1. Q. Li, X. Feng, L. Zhao, and L. Sun,  ¡°A framework for searching Internet-wide devices", IEEE Network, vol. 31, No. 6, pp101-107, 2017, [link].

  2. A. Sultana, L. Zhao, and X. Fernando, ¡°Efficient resource allocation in device-to-device communication using cognitive radio technology¡±, IEEE Transactions on Vehicular Technology, vol. 66, No. 11, pp10024-10034, November, 2017, [link].

  3. L. Cai, J. P. Pan, L. Zhao, and X. Shen, ¡°Networked electrical vehicles for green intelligent transportation", IEEE Communications Standard Magazine, vol. 1, pp77-83, 2017.

  4. M. S. Li, L. Zhao, H. B. Liang, ¡°An SMDP-based prioritized channel allocation scheme in cognitive enabled vehicular ad hoc networks¡±, IEEE Transactions on Vehicular Technology, vol. 66, No. 9, pp7925-7933, September, 2017  [pdf], [link].

  5. B. P. Zhou, Q. C. Chen, H. Wymeersch, P. Xiao, and L. Zhao, ¡°Variational Inference-based positioning with nondeterminstric measurement accuracies and reference location errors ¡±, IEEE Transactions on Mobile Computing, vol. 16, No. 10, pp2955-2969, 2017, [link].

  6. P. He, L.Zhao, and B. Venkatesh, ¡°Optimal power allocation for hybrid energy harvesting and power grid coexisting system with power upper bounded constraints¡±, IEEE Transactions on Signal and Information Processing Over Networks, Vol. 3, No. 1, pp187-199, March 2017 [pdf].

  7. M. S. Li,  P. He,  L.Zhao,  ¡°Dynamic load balancing applying water-filling approach in smart grid systems¡±, IEEE Internet of Things Journal, Vol. 4, No. 1, pp247-258, Feb. 2017, [pdf].

  8. P. He, L.Zhao, and B. Venkatesh, ¡°Novel water-filling for maximum throughput of power grid, MIMO and envergy harvesting coexisting system with mixed constraints ¡±, IEEE Transactions on Communications, Vol. 65, No. 2, pp827-838, Feb. 2017, [pdf].

  9. B. P. Zhou, Q.C. Chen, P. Xiao, L. Zhao, ¡°On the spatial error propagation charateristics of cooperative localization in wireless networks", IEEE Transactions on Vehicular Technology, Vol. 66, No. 2, pp1647-1658, Feb. 2017 [pdf].

2016

  1. P. He, L.Zhao, ¡°Non-commutative composite water-fillings for energy harvesting and smart power grid hybrid system with peak power constraints¡±, IEEE Transactions on Vehicular Technology, vol 65, no. 4, April, 2016, pp2026-2037  [pdf].

  2. P. He, L.Zhao, ¡°Optimal power allocation for maximum throughput of general MU-MIMO multiple access channels with mixed constraints¡±, IEEE Transactions on Communications, Vol. 64, no. 3, pp1042-1054, March, 2016 [pdf].

  3. K. Hafeez, A. Anpalagan, L.Zhao, ¡°Optimizing the control channel interval of the DSRC for vehicular safety applications¡±, IEEE Transactions on Vehicular Technology, Vol. 65, No. 5, pp3377-3388, May 2016  [pdf].

  4. A. Sultana, X. Fernado, L.Zhao, ¡°An overview of medium access control strategies for opportunistic spectrum access in cognitive radio networks", Peer-to-Peer Networking and Applications, published on-line, May, 2016, doi:10.1007/s12083-016-0465-0  [link].

  5. H. Ren, H. W. Li, X. H. Liang, S. B. He, Y. S. Dai, and L. Zhao, ¡°Privacy-enhanced and multifunctional health data agreegation under differential privacy guarantees¡±, Sensors, Vol. 16, No. 9, Sep., 2016, doi: 10.3390/s16091463.

  6. M. Baljon and L. Zhao, ¡°Resource allocation for wireless networks with energy harvesting constraints over fading channels", Journal Issue on Information and Communication Technolgy, Vol. 2, No. 1, pp9-19, August, 2016.

2014-2015

  1. P. He, L.Zhao, ¡°Solving a class of sum power minimization problems using generalized water-filling¡±, IEEE Transactions on Wireless Communications, vol. 14, No. 12, December, 2015, pp6792-6804 [link].

  2. P. He, L.Zhao, S. Zhou and Z. S. Niu, ¡°Optimal recursive power allocation for energy harvesting nodes with multiple antennas¡±, IEEE Transactions on Vehicular Technology, vol. 64, No. 10, October, pp4525-4536, 2015 [link].

  3. O. Malek, A. Venetsanopoulos, D. Androutsos, and L.Zhao, ¡°Sequential subspace estimator for biometric authentication¡±, Neurocomputing, vol 148, pp294-309, Jan. 2015 [link].

  4. P. He, M. He,  and L. Zhao, ¡°Optimal power allocation for MIMO-MAC in cognitive radio networks¡±, Electronics, DOI 10.3390/electronics3030538, vol. 3, pp538-552, 2014 [link].

  5. P. Nisbet, M. He, and L. Zhao, ¡°Transformerless impedance matching networks for automotive power line communication¡±, Journal of Electrical and Electronics Engineering Research, DOI 10.5897/JEEER2014.0507, 2014  [pdf].

  6. P. He, L.Zhao, S. Zhou and Z. S. Niu, ¡°Recursive water-filling for wireless links with energy harvesting transmitters¡±, IEEE Transactions on Vehicular Technology, vol. 63, No. 3, March, pp1232-1241, 2014  [pdf] [link].

2013

  1. P. He, L.Zhao, S. Zhou and Z. S. Niu, ¡°Water-filling: a geometric approach and its application to solve generalized radio resource allocation problems¡±, IEEE Transactions on Wireless Communicaitions, vol. 12, No. 7, July, pp3637-3647, 2013 [pdf] [link].

  2. K. A. Hafeez, L.Zhao,  J. W. Mark, X. Shen and Z. S. Niu, ¡°Distributed multichannel and mobility aware cluster-based MAC protocol for vehicular ad-hoc networks (VANETS)¡±, IEEE Transactions on Vehicular Technology, vol. 62, No. 8, pp3886-3902, Oct. 2013 [link].

  3. K. A. Hafeez, L.Zhao, B. Ma and J. W. Mark, ¡°Performance Analysis and Enhancement of the DSRC for VANET's Safety Applications¡±, IEEE Transactions on Vehicular Technology, vol. 62, No. 7, pp3069-3083, Sep., 2013  [pdf] [link] (2016 Best Land Transportation Paper Award from IEEE Vehicular Technology Society).

  4. P. He, L.Zhao and J. H. Lu,  ¡°Weighted Sum-rate Maximization for Multi-user SIMO Multiple Access Channels in Cognitive Radio Networks¡±, EURASIP Journal on Advances in Signal Processing, 15 pages, April, 2013 [link with full paper].

  5. M. Elalem and L.Zhao,  ¡°Effective capacity and interference analysis in multiband dynamic spectrum sensing¡±,  Journal of Communication and Network (CN), Nov. 5, No. 2, pp. 111-118,  May, 2013, [pdf].

  6. M. Elalem and L.Zhao,  ¡°Throughput maximization based on optimal access probabilities in cognitive radio systems¡±,  Journal of Communication and Network, Vol 5, No. 3, pp. 204-210,  2013, Aug. 2013, [pdf].

  7. M. Elalem and L.Zhao,  ¡°Channel estimation and effective capacity over imperfect Rayleigh channel environment in cognitive radio¡±,  Journal of Communication and Computer (JCC), vol. 10, No. 7, pp1007-1018, 2013, [pdf].

2010-2012

  1. L. Huang, Z. Lian and L. Zhao,  ¡°Physical Rules Based Adaptive Neuro-fuzzy Inferential Sensor Model for Predicting the Indoor Temperature in Heating Systems¡±, International Journal of Distributed Sensor Networks, Article ID 517826, 10 pages, 2012, [link with full paper].

  2. L. Huang, Z. Liao, H. Ge, and L. Zhao,¡°Physical rules based adaptive neuro-fuzzy inferential sensor model design and analysis in predicting the indoor temperature in heating system", Advanced Material Research, vol. 516-517, pp370-379, 2012 [link].

  3. P. He and L. Zhao, ¡°Correction of Convergence Proof for Iterative Water-Filling in Gaussian MIMO Broadcast Channels¡±, IEEE Transactions Information Theory, vol. 57, No. 4, pp2539-2543, April, 2011, [link].

  4. K. A. Hafeez, L.Zhao, Z. Liao and B. Ma, ¡°Clustering and OFDM-Based MAC Protocol (COMAC) for Vehicular Ad Hoc Networks¡±, EURASIP Journal on Wireless Communication and Networking, September, 16 pages, 2011, [link with full paper].

  5. S. Jassar, Z. Liao and L. Zhao, ¡°A Recurrent Neuro-Fuzzy System and its Application in INferential Sensing¡±, Applied Soft Computing, vol. 11, issue 3, pp2935-2945, 2011, [link].

  6. C. L. Huang, Z. Lian and L.Zhao, ¡°Synergism of INS and PDR in self-contained pedestrian tracking with a miniature sensor module¡±, IEEE Sensor Journal, Vol. 10, Issue 8, pp1349-1359, 2010, [link].

  7. S. Jassar, Z. Liao and L. Zhao, ¡°Data Quality in Hybrid Neuro-Fuzzy Based Soft-Sensor Models: an Experiental Study¡±, IAENG International Journal of Computer Science, vol. 37, issue 1, pp64-75, 2010, [link with full paper]

2008-2009

  1. N.M. Chowdhury, Z. Liao, L. Zhao and C. T. Yang, ¡°Tube Wave Analysis of Buried Pipes¡±, Jour. Canadian Acoustic, vol. 37, No.2, pp25-34, June, 2009, [link with full paper]

  2. S. Jassar, Z. Liao and L. Zhao, ¡°Adaptive Neuro-Fuzzy Based Inferential Sensor Model for Estimating the Average Air Temperature in Space Heating Systems¡±, Building and Environment, vol. 44, pp1609-1616, 2009, [link].

  3. L. Bai, L.Zhao and Z. Liao, ¡°Energy-balanced Parameter-adaptable Protocol Design in Cooperative Wireless Sensor Networks¡±, International Journal of Multimedia and Ubiquitous Engineering, pp39-57, vol. 4, No. 1, January 2009, [link with full paper].

  4. L. Zhao and Z. Liao,  ¡°Power Allocation for Amplify-and-Forward Cooperative Transmission Over Rayleigh-Fading Channels¡±, Journal of Communications, .pp33-42, vol. 3, No. 3, July. 2008, [pdf].

  5. R. Wu, Z. Liao and L. Zhao, ¡°Wavelets Application in Acoustic Emission Signal Detection of Wire Related Events in Pipeline¡±, Canadian Acoustics, pp33-41, vol. 36, No. 2, June, 2008, [link with full paper].

  6. L. Zhao and J. W. Mark, ¡°Joint Rate and Power Adaptation for Radio Resource Management in Uplink Wideband CDMA Systems¡±, IET Proceedings on Communications, pp562-572, vol. 2, No. 4, April, 2008, [link with full paper].

  7. Y.Y. Jia, L.Zhao and B. Ma, ¡°A Hierarchical Clustering-Based Routing Protocol for Wireless Sensor Networks Supporting Multiple Data Aggregation Qualities", International Journal on Sensor Networks, pp79-91, vol. 4, Nos. 1/2, 2008, [pdf].

2004-2007

  1. L. Zhao and J. Ding, ¡°Least Square Approximation to Lognormal Sum Distributions ¡±, IEEE Transactions on Vehicular Technology, pp991-997, March, 2007, [link].

  2. L. Zhao, J. W. Mark and J. Ding, ¡° Power Distribution/Allocation in Multirate Wideband CDMA Systems ¡±, IEEE Transactions on Wireless Communications, pp2458-2467, vol.5, No. 9, September, 2006, [link].

  3. L. Zhao, J. W. Mark and G. Yao, ¡° Mobile Positioning Based on Relaying Capability of Hybrid Wireless Networks¡±, IEE Proceedings on Communications, pp762-770, vol. 153, No. 5, October, 2006, [link].

  4. J. Ding, W.Pye and L. Zhao, ¡°Some Results on Structured M-matrices With An Application to Wireless Communications ¡±, Linear Algebra and Applications, pp608-614, 2006, [link with full paper].

  5. J. Y.Sun, L. Zhao and A. Anpalagan, ¡° Cross-layer Design and Analysis of Downlink Communication in Cellular CDMA Systems¡±, EURASIP Journal on Wireless Communications and Networking, Special Issue on Radio Resource Management in 3G+ Wireless Systems, Article ID 21297, 23 pages, 2006, [link].

  6. L. Zhao and J. W. Mark, ¡° Mobile Speed Estimation Based on Average Fading Slope Duration ¡±, IEEE Transactions on Communications, pp2066-2069, vol. 52, No. 12, December 2004,  [pdf].

  7. L. Zhao and J. W. Mark, ¡° Multi-step Closed-loop Power Control Using Linear Receivers for DS-CDMA Systems ¡±, IEEE Transactions on Wireless Communications, pp2141-2155, vol. 3, No. 6, November 2004,  [pdf].

  8. L. Zhao, J. W. Mark and Y. C. Yoon, ¡°Performance of Coding-spreading Tradeoff in DS-CDMA Systems Using RCPT and RCPC Codes¡±, IEEE Transactions on Communications, pp882-886, vol. 52, No. 6, June 2004, [pdf].

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Website for Geometric Water-filling (GWF) and related algorithms with Matlab code and demonstration

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