Dr. Le (Lex) Xia
Dr. Le (Lex) Xia
Postdoctoral Associate
Postdoctoral Associate
Bradley Department of Electrical and Computer Engineering
Virginia Tech, Blacksburg, VA 24061
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Contact
Contact
Email: lexia@vt.edu
About Me
About Me
I am currently a postdoctoral associate at Virginia Tech, U.S., working with Prof. Rose Qingyang Hu. I received my Ph.D. degree in Electronics and Electrical Engineering from the University of Glasgow, U.K., in 2024, under the supervision of Dr. Yao Sun. Prior to that, I received my B.Eng. and M.Eng. degrees in 2017 and 2020, respectively, both from the University of Electronic Science and Technology of China (UESTC). I have published over 13 papers as the first author with a total of 470+ citations and an h&i10-index of 11, covering multiple IEEE top-tier journals/magazines/conferences. Meanwhile, I am serving as a regular reviewer for a wide range of IEEE journals/magazines, and was also a TPC member for several IEEE flagship conferences and journals' special issues. I was a recipient of the Conference Travel Grant for ICC'2025 from IEEE ComSoc, a recipient of the Full Ph.D. Scholarship (2020-2024) from the European Institute of Innovation and Technology in 2020, and a recipient of the National Scholarship (top 0.2%) in 2019.
Research Interests
Research Interests
I have broad interests in various technical fields and layers toward building next-generation wireless communication systems. In a nutshell, my research spans the areas of
Semantic Communications
Network Management
Generative AI for Wireless
Edge Intelligence
Recent Updates
Recent Updates
[Oct 2025]: A new paper titled "Joint Knowledge and Power Management for Secure Semantic Communication Networks" has been accepted for publication by IEEE Trans. on Vehicular Technology!
[Sept 2025]: A new paper titled "Joint power and spectrum orchestration for D2D semantic communication underlying energy-efficient cellular networks" has been accepted for publication by IEEE Trans. on Wireless Communications!
[May 2025]: I have been awarded the Conference Travel Grant (CTG) for IEEE ICC'2025!
[Mar 2025]: A new magazine paper titled "Knowledge-assisted privacy preserving in semantic communication" has been accepted for publication by IEEE Wireless Communications!
[Jan 2025]: A new conference paper titled "Energy efficiency maximization in D2D semantic communication enabled cellular networks" has been accepted for presentation at IEEE ICC'2025, 8–12 June, Montreal, Canada!
[Dec 2024]: I got my Ph.D. from the University of Glasgow!
Highlighted Works
Highlighted Works
- Semantic Communication (SemCom) Framework Design:
Generative AI for Semantic Communication: Architecture, Challenges, and Outlook
L. Xia, Y. Sun, C. Liang, et al., IEEE Wireless Communications, vol. 32, no. 1, pp. 132-140, Feb. 2025.
We presented the principal characteristics of the combination of generative AI (GAI) and SemCom along with their pertinent benefits and challenges.
We proposed a novel GAI-integrated SemCom network (GAI-SCN) framework, especially for semantic delivery-driven and high-capacity wireless transmission services.
We developed a three-stage implementation workflow and provided initial simulations for GAI-SCN.
WiserVR: Semantic Communication Enabled Wireless Virtual Reality Delivery
L. Xia, Y. Sun, C. Liang, et al., IEEE Wireless Communications, vol. 30, no. 2, pp. 32-39, APR. 2023.
We proposed a novel WIreless SEmantic deliveRy for Virtual Reality (WiserVR) framework, dedicated to 360° video streaming delivery with the awareness of URLLC.
We devised a viable implementation of WiserVR and validated its superiority via numerical simulations.
- SemCom-Enabled Network Management:
Wireless Resource Optimization in Hybrid Semantic/Bit Communication Networks
L. Xia, Y. Sun, D. Niyato, L. Zhang, et al., IEEE Trans. on Communications, Oct. 2024.
We identified the user association (UA), mode selection (MS), and bandwidth allocation (BA) issues in the hybrid semantic/bit communication network (HSB-Net).
We modeled a two-stage tandem queue for each link and theoretically derived the knowledge matching-aware semantic packet queuing latency and packet loss ratio.
We proposed an efficient joint UA, MS, and BA solution with a polynomial-time complexity to maximize the overall message throughput of HSB-Net.
Simulation results validated the accuracy of our queuing analysis and the performance superiority of the proposed solution compared with benchmarks.
xURLLC-Aware Service Provisioning in Vehicular Networks: A Semantic Communication Perspective
L. Xia, Y. Sun, D. Niyato, et al., IEEE Trans. on Wireless Communications, vol. 23, no. 5, pp. 4475-4488, May. 2024.
We identified two key problems of knowledge base construction (KBC) and vehicle service pairing (VSP) in SemCom vehicular networks (SCVNs) with the awareness of next-generation URLLC (xURLLC).
We proposed an efficient SemCom-empowered Service Supplying Solution (S⁴) with a polynomial-time computational complexity with theoretical analysis of its optimality guarantee via two propositions.
Numerical results demonstrated sufficient performance superiority of S⁴ in terms of both latency and reliability compared with benchmarks.
- Edge Intelligence in Vehicular Networks:
L. Xia, Y. Sun, R. Swash, et al., IEEE Network, vol. 36, no. 1, pp. 197-204, Mar. 2022.
We proposed an intelligent vehicle security assessment framework named BEST by employing a consortium blockchain and a long short-term memory model.
Simulation results verified better data credibility and a higher driving prediction accuracy for vehicular safety assessment compared with existing schemes.
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