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Academic profile / 6G network intelligence

Yao Wang

Ph.D. Candidate in Information and Communication Engineering

School of Telecommunications Engineering, Xidian University, Xi'an, ChinaVisiting Ph.D. Student at the Singapore University of Technology and Design, Singapore

Intelligent Management and Control of Intent-Driven Energy-Saving Policies for 6G Networks

I am a Ph.D. candidate in the School of Telecommunications Engineering at Xidian University, advised by Prof. Chungang Yang. I am also a visiting Ph.D. student in the Information Systems Technology and Design Pillar at the Singapore University of Technology and Design, advised by Prof. Tony Q. S. Quek.

My research interests include 6G networks, large-scale agentic networks, large language models for networking, and intelligent network management and orchestration. My doctoral research develops intent-driven methods for network-level intent decomposition, energy-aware optimization, cross-layer policy orchestration, and multi-intent conflict resolution.

I have published more than 20 papers in leading journals and flagship conferences, including IEEE Communications Surveys & Tutorials, IEEE TCCN, IEEE TVT, IEEE Communications Magazine, ACM UbiComp/ISWC, IEEE GLOBECOM, and IEEE VTC. One first-author paper has been recognized as an ESI Highly Cited Paper.

20+Publications
1ESI Highly Cited Paper
2Academic books
5Research projects
01

Education

XDU

Ph.D. Candidate

Xidian University

Information and Communication Engineering

Advisor: Prof. Chungang Yang / Xi'an, China

SUTD

Visiting Ph.D. Student

Singapore University of Technology and Design

Information Systems Technology and Design

Advisor: Prof. Tony Q. S. Quek / Singapore

HUE

Master of Engineering

Hebei University of Engineering

Information and Electrical Engineering

Advisor: Prof. Long Zhang / Outstanding Master's Thesis

BDU

Bachelor of Engineering

Baoding University

Information Engineering

Baoding, China

02

News & updates

01
Recognition

A first-author paper was recognized as an ESI Highly Cited Paper.

02
Service

Served as Workshop Chair of the first IDAN Workshop at IEEE IWCMC 2026.

03
Publication

LAMIO-6G was published in IEEE Transactions on Cognitive Communications and Networking.

04
Talk

Delivered an invited talk on LLM-enhanced intent-driven management at IEEE VTC2025-Fall.

03

Research interests

01

Intent-driven 6G networks

Intent representation, decomposition, assurance, and conflict resolution for autonomous network control.

  • Intent decomposition
  • Closed-loop assurance
02

Large-scale agentic networks

Scalable coordination, resource allocation, and experience reuse across agents, network domains, and time.

  • Agentic AI
  • Multi-agent coordination
03

Large models for networking

Reliable intent understanding, policy orchestration, and game-theoretic reasoning with LLMs and large AI models.

  • LLMs for networking
  • Policy orchestration
04

Energy-efficient network control

Cross-layer and multi-domain energy-saving strategies under dynamic resource and service constraints.

  • Energy efficiency
  • 6G RAN
04

Doctoral research & projects

Doctoral research

01
Doctoral research / Work I

Network Intent Decomposition Framework for Telecommunication Networks

Developed an intent-driven 6G management architecture and a general framework for intent modeling, decomposition, validation, and run-time optimization.

02
Doctoral research / Work II

Energy-Saving Intent Decomposition and Optimization Mechanism

Designed an energy-aware intent representation and decomposition method with collaborative multi-agent deep reinforcement learning for RAN energy-saving decisions.

03
Doctoral research / Work III

LLM-Empowered Cross-Layer and Multi-Domain Intent Orchestration Paradigm

Developed LAMIO-6G to coordinate general large AI models, domain-specific models, and lightweight optimization across BSS, OSS, and network operation layers.

04
Doctoral research / Work IV

LLM-Enhanced Game-Theoretic Design for Intent Conflict Resolution

Developed LLM-CGT, a closed-loop cooperative game framework for modeling, solving, and validating energy-performance conflicts in 6G radio access networks.

Selected research projects

Co-Principal Investigator

Interoperable and Efficient Information Interaction Technology for UAV Swarm Networks

China Electronics Technology Group Corporation / Grant 2024JSQ0201-XY-0001

Co-Principal Investigator

Self-Adaptive Decomposition and Mapping Technique for Network-Level Intent Goals

Huawei Technologies Co., Ltd. / Grant TC20221114023

Participant

Key Technologies for 6G Full-Scenario On-Demand Services-Network Autonomous Control

National Key Research and Development Program of China / Grant 2020YFB1807700

Participant

Distributed Interference Management for Network Utility in Ultra-Dense Heterogeneous Cellular Networks

National Natural Science Foundation of China / Grant 61871454

Participant

Joint Optimization of Opportunistic Routing and Multidimensional Resources for Cognitive Multi-UAV Ad Hoc Networks

Natural Science Foundation of Hebei Province / Grant F2019402206

05

Selected publications

Full author names are shown. Select a linked paper title to open its official publication page.

202610 papers
20253 papers
20242 papers
20232 papers
20222 papers
20211 papers
20201 papers
06

Books, honors & service

Honors & awards

ESI Highly Cited PaperFirst author

Outstanding Doctoral Student AwardXidian University

China National ScholarshipXidian University

Outstanding Master's Thesis AwardHebei Province

Outstanding Master's Thesis AwardHebei University of Engineering

Professional service

Workshop ChairFirst IDAN Workshop, IEEE IWCMC

TPC MemberIEEE VTC-Spring

TPC MemberIEEE ICC Workshop

Academic activities

Invited SpeakerIEEE VTC2025-Fall; IEEE GLOBECOM 2020; Graduate Academic Forum of Guangdong 2021

Technical ReviewerACM Computing Surveys; IEEE TWC; IEEE TMC; IEEE Communications Magazine; IEEE Network; IEEE IoT-J; IEEE OJCOMS

07

Contact

I welcome discussions and collaborations on 6G network intelligence, intent-driven management, and agentic networking.