[2603.00501] WirelessAgent++: Automated Agentic Workflow Design and Benchmarking for Wireless Networks

Computer Science > Networking and Internet Architecture arXiv:2603.00501 (cs) [Submitted on 28 Feb 2026] Title:WirelessAgent++: Automated Agentic Workflow Design and Benchmarking for Wireless Networks Authors:Jingwen Tong, Zijian Li, Fang Liu, Wei Guo, Jun Zhang View a PDF of the paper titled WirelessAgent++: Automated Agentic Workflow Design and Benchmarking for Wireless Networks, by Jingwen Tong and 4 other authors View PDF HTML (experimental) Abstract:The integration of large language models (LLMs) into wireless networks has sparked growing interest in building autonomous AI agents for wireless tasks. However, existing approaches rely heavily on manually crafted prompts and static agentic workflows, a process that is labor-intensive, unscalable, and often suboptimal. In this paper, we propose WirelessAgent++, a framework that automates the design of agentic workflows for various wireless tasks. By treating each workflow as an executable code composed of modular operators, WirelessAgent++ casts agent design as a program search problem and solves it with a domain-adapted Monte Carlo Tree Search (MCTS) algorithm. Moreover, we establish WirelessBench, a standardized multi-dimensional benchmark suite comprising Wireless Communication Homework (WCHW), Network Slicing (WCNS), and Mobile Service Assurance (WCMSA), covering knowledge reasoning, code-augmented tool use, and multi-step decision-making. Experiments demonstrate that \wap{} autonomously discovers superior workflows, ...