mlsanityData to 7 Oct 2026

LLM-OptiRA: LLM-Driven Optimization of Resource Allocation for Non-Convex Problems in Wireless Communications

arXiv 2505.02091 ↗First posted 4 May 2025cs.CL cs.LGcited by 8

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Abstract (arXiv)

Solving non-convex resource allocation problems poses significant challenges in wireless communication systems, often beyond the capability of traditional optimization techniques. To address this issue, we propose LLM-OptiRA, the first framework that leverages large language models (LLMs) to automatically detect and transform non-convex components into solvable forms, enabling fully automated resolution of non-convex resource allocation problems in wireless communication systems. LLM-OptiRA not only simplifies problem-solving by reducing reliance on expert knowledge, but also integrates error correction and feasibility validation mechanisms to ensure robustness. Experimental results show that LLM-OptiRA achieves an execution rate of 96% and a success rate of 80% on GPT-4, significantly outperforming baseline approaches in complex optimization tasks across diverse scenarios.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 13 of its 18 references that are in the map. First posted on arXiv 4 May 2025.

Builds on

13 of 18 references.

References · 13

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
  3. 2022Large Language Models are Zero-Shot Reasonerscited by 4,323
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  11. 2023OptiMUS: Optimization Modeling Using MIP Solvers and large language modelscited by 39
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1 more
  1. 2023A Survey on Model-based, Heuristic, and Machine Learning Optimization Approaches in RIS-aided Wireless Networkscited by 14

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 5.

8 papers.

  1. 2025A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solvingcited by 9
  2. 2025Reflection-Driven Self-Optimization 6G Agentic AI RAN via Simulation-in-the-Loop Workflowscited by 2
  3. 2026Bridging 6G IoT and AI: LLM-Based Efficient Approach for Physical Layer's Optimization Taskscited by 2
  4. 2025From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communicationscited by 1
  5. 2026AgenticPrecoding: LLM-Empowered Multi-Agent System for Precoding Optimizationcited by 0
  6. 2026Agentic AI for Bilevel Long-Term Optimization of Policy-Driven Physical Layer Systemscited by 0
  7. 2026WARA: Toward Automated Wireless Optimization Research with Closed-Loop LLM Agentscited by 0
  8. 2026Agentic Autoresearch for Cell-Edge Power Control: Radically Redefining the Researcher's Rolecited by 0