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cs.CL2025
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models
Can Zheng, Jiguang He, Chung G. Kang +3
This paper introduces a novel neural network framework called M2BeamLLM for beam prediction in millimeter-wave (mmWave) massive multi-input multi-output (mMIMO) communication syste…
cs.CL2025
WirelessMathBench: A Mathematical Modeling Benchmark for LLMs in Wireless Communications
Xin Li, Mengbing Liu, Li Wei +3
Large Language Models (LLMs) have achieved impressive results across a broad array of tasks, yet their capacity for complex, domain-specific mathematical reasoning-particularly in…
cs.CL2024
Large Language Models for Power Scheduling: A User-Centric Approach
Thomas Mongaillard, Samson Lasaulce, Othman Hicheur +6
While traditional optimization and scheduling schemes are designed to meet fixed, predefined system requirements, future systems are moving toward user-driven approaches and person…