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(underlined authors: supervised HQP - High Quality Personnel)

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

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Journal Publications

Paper accepted published on-line and Papers under Review

  1. J. Gao, L. Zhao, and X. Shen, "Network utility maximization based on incentive mechanism for truthful reporting of local information", submitted to IEEE Transaction on Vehicular Technology, under review, [pdf].

  2. P. He, S. Zhang, L. Zhao, and X. Shen, "Multi-channel power allocation for maximizing energy efficiency in wireless networks", submitted to IEEE Transaction on Vehicular Technology, under review, [pdf].

  3. S. Zhang, P. He, K. Suto, P. Yang, L. Zhao and X. Shen, "Cooperative edge caching in user-centric clustered mobile networks", published on-line, IEEE Transaction on Mobile Computing, November, 2017.

  4. P. He, M. Li, L.Zhao, B. Venkatesh, and H. W. Li, ¡°Water-filling exact solutions for load balancing of smart power grid systems¡±, published on-line, IEEE Tran. on Smart Grid , July, 2016 [pdf], [link].

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 Transaction on Vehicular Technology, vol. 66, No. 11, pp10024-10034, November, 2017.

  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, Hongbin Liang, ¡°An SMDP-based prioritized channel allocation scheme in cognitive enabled vehicular ad hoc networks¡±, IEEE Transaction on Vehicular Technology, vol. 66, No. 9, pp7925-7933, September, 2017  [pdf].

  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 Transaction 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 Transaction on Signal and Information Processing Over Networks, Vol. 3, No. 1, pp187-199, March 2017 [pdf].

  7. Mushu 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 Transaction 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 Tran. 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 Tran. 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 Tran. 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 Tran. 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.

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2014-2015

  1. P. He, L.Zhao, ¡°Solving a class of sum power minimization problems using generalized water-filling¡±, IEEE Tran. 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 Tran. 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 Tran. 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 Tran. 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 Tran. 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 Tran. 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 Trans. 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 Transaction 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 Transaction 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 Transaction 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 Transaction 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 Transaction on Communications, pp882-886, vol. 52, No. 6, June 2004, [pdf].

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