{Kan24} Khen Bo Kan, Hyunsu Mun, Guohong Cao, Youngseok Lee. Mobile-LLaMA: Instruction Fine-Tuning Open-Source LLM for Network Analysis in 5G Networks. IEEE Network, 2024, 38(5):76-83. Mobile-LLaMA has three main functions: packet analysis, IP routing analysis, and performance analysis, enabling it to provide network analysis and contribute to the automation and artificial intelligence (AI) required for 5G network management and data analysis.
{Wen24} Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, and Yunxin Liu. AutoDroid: LLM-powered Task Automation in Android. Proc. of ACM MobiCom, 2024. key insight is to combine the commonsense knowledge of LLMs and domain-specific knowledge of apps through automated dynamic analysis.
{Ding24} Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, and Guihai Chen. Enhancing On-Device LLM Inference with Historical Cloud-Based LLM Interactions. Proc. of ACM KDD, 2024. propose to collect the user's historical interactions with the cloud-based LLM and build an external datastore on the mobile device for enhancement using nearest neighbors search
{Lee24} Sunjae Lee, Junyoung Choi, Jungjae Lee, Munim Hasan Wasi, Hojun Choi, Steve Ko, Sangeun Oh, and Insik Shin. MobileGPT: Augmenting LLM with Human-like App Memory for Mobile Task Automation. Proc. of ACM MobiCom, 2024. this paper introduces MobileGPT, an innovative LLM-based mobile task automator equipped with a human-like app memory
{Xie24} Jian Xie, Kai Zhang, Jiangjie Chen, Tinghui Zhu, Renze Lou, Yuandong Tian, Yanghua Xiao, Yu Su. TravelPlanner: A Benchmark for Real-World Planning with Language Agents. Proc. of ICML, 2024.
{Zhang25} Han Zhang, Akram Bin Sediq, Ali Afana, Melike Erol-Kantarci. Mobile Traffic Prediction using LLMs with Efficient In-context Demonstration Selection. To appear: IEEE Transactions on Communications.
{Chen25} Daihang Chen, Yonghui Liu, Mingyi Zhou, Yanjie Zhao, Haoyu Wang, Shuai Wang, Xiao Chen, Tegawendé F. Bissyandé, Jacques Klein, and Li Li. LLM for Mobile: An Initial Roadmap. ACM Trans. Softw. Eng. Methodol., 2025, 34(5):Article 128.
{Rong25} Yi Rong, Yingchi Mao, Xiaoming He, Mingkai Chen. Large-Scale Traffic Flow Forecast with Lightweight LLM in Edge Intelligence. IEEE Internet of Things Magazine, 2025, 8(1):12-18.
{Movahedi25} Mohammad Movahedi, Juyeong Choi. The Crossroads of LLM and Traffic Control: A Study on Large Language Models in Adaptive Traffic Signal Control. IEEE Transactions on Intelligent Transportation Systems, 2025, 26(2):1701-1716.
{Xu25} Daliang Xu, Wangsong Yin, Hao Zhang, Xin Jin, Ying Zhang, Shiyun Wei. EdgeLLM: Fast On-Device LLM Inference With Speculative Decoding. IEEE Transactions on Mobile Computing, 2025, 24(4):3256-3273.
{Xue25} Nan Xue, Yaping Sun, Zhiyong Chen, Meixia Tao, Xiaodong Xu, Liang Qian, Shuguang Cui, Wenjun Zhang, and Ping Zhang. WDMoE: Wireless Distributed Mixture of Experts for Large Language Models. IEEE Transactions on Wireless Communications.
{Yang25} Xiaojie Yang, Hangli Ge, Jiawei Wang, Zipei Fan, Renhe Jiang, Ryosuke Shibasaki, and NoboruKoshizuka. CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events. Proc. of KDD, 2025.