People

Chongtao Guo Associate Processor

  • Office room:N910, Zhixin Building, Canghai Campus
  • Tutor category:
  • E-mail:ctguo@szu.edu.cn
  • Tele:0755-22673422
Personal Details

Basic Information

lTitle:  Associate Processor

lEmail:   ctguo@szu.edu.cn

lTel:   0755-22673422

lOffice:  N910, Zhixin Building, Canghai Campus

lGoogle Scholar Website:

https://scholar.google.com/citations?user=RO0JD-0AAAAJ&hl=zh-CN&oi=ao

lPersonal Website: https://tommyguoct.github.io/index.html

Brief Introduction

Dr. Guo received his B.Eng. degree in Electrical and Information Engineering in 2009, from Xidian University, Xi'an, Shaanxi 710071, China. He received his Ph.D. degree in Communication and Information Systems in 2014, from Xidian University, Xi'an, Shaanxi 710071, China, supervised by Prof. Min Sheng. He was a post-doctoral research fellow from 2017 to 2018 collaborating with Prof. Geoffrey Ye Li in Georgia Institute of Technology, Atlanta, GA 30332, USA.

Since 2014, he has been with the College of Electronics and Information Engineering, Shenzhen University, Shenzhen, Guangdong 518060, China, where he is currently an Associate Professor.


Current Research Directions

[1]Satellite communication, navigation, and remote sensing

[2]Vehicular networks for autonomous driving and intelligent transportation


Awards

[1]Exemplary Reviewer of IEEE Wireless Communications Letters, 2021

[2]High-Level Talent in Nanshan District of Shenzhen, 2019

[3]Shenzhen Overseas High-Caliber Personnel, 2019

[4]Excellent Young Scholar of Shenzhen University, 2019

[5]Exemplary Reviewer of IEEE Communications Letters, 2017

[6]IEEE DSP 2017 (London) Best Paper Award, 2017

[7]IEEE DSP 2016 (Beijing) Best Paper Award, 2016


Representative Publications

[1]C. Guo, S. Liu, B. Liao, Z. Wang, and L. Liang, ‘‘AoI-driven power allocation and batch sampling control for V2V status update communications,’’ IEEE Transactions on Industrial Informatics, vol. 20, no. 1, pp. 291-302, Jan 2024.

[2]C. Guo, Z. Li, L. Liang, and G. Y. Li, ‘‘Reinforcement learning based power control for reliable mission-critical wireless transmission,’’ IEEE Internet of Things Journal, vol. 10, no. 23, pp. 20868-20883, Dec. 2023

[3]C. Guo, X. Wang, L. Liang, and G. Y. Li, ‘‘Age of information, latency, and reliability in intelligent vehicular networks,’’ IEEE Network, vol. 36, no. 6, pp. 109-116, Nov. 2023.

[4]D. Feng, J. Peng, Y. Zhuang, C. Guo, T. Zhang, Y. Chu, X. Zhou, and X.-G. Xia, ‘‘An adaptive IMU/UWB fusion method for NLOS indoor positioning and navigation,’’ IEEE Internet Things Journal, vol. 10, no. 13, pp. 11414-11428, July 2023.

[5]C. Guo, C. Guo, S. Zhang, and Z. Ding, ‘‘Adaptive relaying protocol design and analysis for short-packet cooperative NOMA,’’ IEEE Transactions on Vehicular Technology, vol. 72, no. 2, pp. 2689-2694, Feb. 2023.

[6]W. He, C. Guo, and X. Wang, ‘‘Age of information aware resource allocation and packet sampling control in vehicular networks,’’ IEEE Wireless Communications Letters, vol. 11, no. 11, pp. 2245-2249, Nov. 2022.

[7]X. Fu, C. Guo, Y. Qu, and X.-H. Lin, ‘‘Resource allocation and blocklength selection for low-latency vehicular communications,’’ IEEE Wireless Communications Letters, vol. 10, no. 5, pp. 914-918, May 2021.

[8]C. Guo, W. He, and G. Y. Li, ‘‘Optimal fairness-aware resource supply and demand management for mobile edge computing,’’ IEEE Wireless Communications Letters, vol. 10, no. 3, pp. 678-682, Mar. 2021.

[9]C. Guo, C. Guo, S. Zhang, and Z. Ding, ‘‘UAV-enabled NOMA networks analysis with selective incremental relaying and imperfect CSI,’’ IEEE Transactions on Vehicular Technology, vol. 69, no. 12, pp. 16276-16281, Dec. 2020.

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

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

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

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

[14]C. Guo, B. Liao, D. Feng, C. He, and X. Ma, ‘‘Minimum secrecy throughput maximization in wireless powered secure communications,’’ IEEE Transactions on Vehicular Technology, vol. 67, no. 3, pp. 2571-2581, Mar. 2018.

[15]C. Guo, B. Liao, L. Huang, P. Zhang, M. Huang, and J. Zhang, ‘‘On proportional fairness in power allocation for two-tone spectrum-sharing networks,’’ IEEE Transactions on Vehicular Technology, vol. 65, no. 12, pp. 10090-10096, Dec. 2016.

[16]C. Guo, Y. Zhang, M. Sheng, X. Wang, and Y. Li, ‘‘α-fair power allocation in spectrum-sharing networks,’’ IEEE Transactions on Vehicular Technology, vol. 65, no. 5, pp. 3771-3777, May 2016.

[17]C. Guo, B. Liao, L. Huang, X. Lin, and J. Zhang, ‘‘On convexity of fairness-aware energy-efficient power allocation in spectrum-sharing networks,’’ IEEE Communications Letters, vol. 20, no. 3, pp. 534-537, Mar. 2016.

[18]C. Guo, B. Liao, L.Huang, Q. Li, and X. Lin, ‘‘Convexity of fairness-aware resource allocation in wireless powered communication networks,’’ IEEE Communications Letters, vol. 20, no. 3, pp. 474-477, Mar. 2016.

[19]C. Guo, M. Sheng, X. Wang, and Y. Zhang, ‘‘Throughput maximization with short-term and long-term Jain's index constraints in downlink OFDMA systems,’’ IEEE Transactions on Communications, vol. 62, no. 5, pp. 1503-1517, May 2014.

[20]C. Guo, M. Sheng, Y. Zhang, and X. Wang, ‘‘A Jain's index perspective on alpha-fairness resource allocation over slow-fading channels,’’ IEEE Communications Letters, vol. 17, no. 4, pp. 705-708, Apr. 2013.


2024.9.12