A Linear-Time Grouping Algorithm for F-RANs with Index Coding and Cache-Aided NOMA. - Yongna Guo; Salwa Mostafa; Jun Zou 001; Chi Wan Sung (ICC, 2021)

Joint Computation and Communication Resource Allocation With NOMA and OMA Offloading for Multi-Server Systems in F-RAN. - Salwa Mostafa; Chi Wan Sung; Yongna Guo (IEEE Access, 2022)

A Cross-Layer Optimization Framework for Index-Coded NOMA in Cache-Aided F-RANs. - Yongna Guo; Chi Wan Sung; Salwa Mostafa; Jun Zou 001 (IEEE Trans. Commun., 2022)

Proportional Fair Scheduling for Downlink mmWave Multi-User MISO-NOMA Systems. - Mingshan Zhang; Yongna Guo; Lou Salaün; Chi Wan Sung; Chung Shue Chen (IEEE Trans. Veh. Technol., 2022)

Power Allocation and Data Assignment for Over-The-Air Distributed Learning. - Yongna Guo; Chi Wan Sung; Kenneth W. Shum (WiOpt, 2023)

Maximum Completion Time Optimization in Uplink Multi-Subcarrier NOMA Systems. - Yongna Guo; Chi Wan Sung; Ye Liu 001; Chung Shue Chen (IEEE Wirel. Commun. Lett., 2023)

Age-of-Information and Energy Optimization in Digital Twin Edge Networks. - Yongna Guo; Yaru Fu; Yan Zhang 002; Tony Q. S. Quek (GLOBECOM, 2024)

Two-Timescale Synchronization and Migration for Digital Twin Networks: A Multi-Agent Deep Reinforcement Learning Approach. - Wenshuai Liu; Yaru Fu; Yongna Guo; Fu Lee Wang; Wen Sun 004; Yan Zhang 006 (CoRR, 2024)

Age-of-Information and Energy Optimization in Digital Twin Edge Networks. - Yongna Guo; Yaru Fu; Yan Zhang 006; Tony Q. S. Quek (CoRR, 2024)

Two-Timescale Synchronization and Migration for Digital Twin Networks: A Multi-Agent Deep Reinforcement Learning Approach. - Wenshuai Liu; Yaru Fu; Yongna Guo; Fu Lee Wang; Wen Sun 004; Yan Zhang 002 (IEEE Trans. Wirel. Commun., 2024)

Joint System Latency and Data Freshness Optimization for Cache-enabled Mobile Crowdsensing Networks. - Kexin Shi; Yaru Fu; Yongna Guo; Fu Lee Wang; Yan Zhang 002 (CoRR, 2025)

Enhancing Mobile Crowdsensing Efficiency: A Coverage-aware Resource Allocation Approach. - Yaru Fu; Yue Zhang 020; Zheng Shi 001; Yongna Guo; Yalin Liu (CoRR, 2025)