mlsanityData to 14 Oct 2026

Transforming Decoder-Only Transformers for Accurate WiFi-Telemetry Based Indoor Localization

arXiv 2505.15835 ↗First posted 16 May 2025cs.NI cs.AIcited by 0

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Abstract (arXiv)

Wireless Fidelity (WiFi) based indoor positioning is a widely researched area for determining the position of devices within a wireless network. Accurate indoor location has numerous applications, such as asset tracking and indoor navigation. Despite advances in WiFi localization techniques -- in particular approaches that leverage WiFi telemetry -- their adoption in practice remains limited due to several factors including environmental changes that cause signal fading, multipath effects, interference, which, in turn, impact positioning accuracy. In addition, telemetry data differs depending on the WiFi device vendor, offering distinct features and formats; use case requirements can also vary widely. Currently, there is no unified model to handle all these variations effectively. In this paper, we present WiFiGPT, a Generative Pretrained Transformer (GPT) based system that is able to handle these variations while achieving high localization accuracy. Our experiments with WiFiGPT demonstrate that GPTs, in particular Large Language Models (LLMs), can effectively capture subtle spatial patterns in noisy wireless telemetry, making them reliable regressors. Compared to existing state-of-the-art methods, our method matches and often surpasses conventional approaches for multiple types of telemetry. Achieving sub-meter accuracy for RSSI and FTM and centimeter-level precision for CSI demonstrates the potential of LLM-based localisation to outperform specialized techniques, all without handcrafted signal processing or calibration.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 27 of its 62 references that are in the map. First posted on arXiv 16 May 2025.

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27 of 62 references.

References · 27

  1. 2017Attention Is All You Needcited by 60,361
  2. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
  3. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
  4. 2022Training Compute-Optimal Large Language Modelscited by 3,019
  5. 2019How multilingual is Multilingual BERT?cited by 645
  6. 2024The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bitscited by 308
  7. 2023Large Language Model Alignment: A Surveycited by 243
  8. 2023How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Compositioncited by 223
  9. 2024When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Methodcited by 204
  10. 2021BERT: A Review of Applications in Natural Language Processing and Understandingcited by 109
  11. 2023Tokenizer Choice For LLM Training: Negligible or Crucial?cited by 108
  12. 2024LLaMA Beyond English: An Empirical Study on Language Capability Transfercited by 95
15 more
  1. 2017A Survey of Indoor Localization Systems and Technologiescited by 78
  2. 2024NetLLM: Adapting Large Language Models for Networkingcited by 78
  3. 2024From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examplescited by 57
  4. 2024WirelessLLM: Empowering Large Language Models Towards Wireless Intelligencecited by 44
  5. 2025BitNet b1.58 2B4T Technical Reportcited by 38
  6. 2024Towards Optimizing the Costs of LLM Usagecited by 33
  7. 2024How Susceptible are LLMs to Influence in Prompts?cited by 33
  8. 2024Large language models can be zero-shot anomaly detectors for time series?cited by 31
  9. 2025How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlookcited by 20
  10. 2024Understanding LLM Embeddings for Regressioncited by 19
  11. 2025Think Inside the JSON: Reinforcement Strategy for Strict LLM Schema Adherencecited by 16
  12. 2024Finding the Missing Data: A BERT-inspired Approach Against Package Loss in Wireless Sensingcited by 15
  13. 2024CSI-BERT2: A BERT-inspired Framework for Efficient CSI Prediction and Classification in Wireless Communication and Sensingcited by 11
  14. 2023Exposing the CSI: A Systematic Investigation of CSI-based Wi-Fi Sensing Capabilities and Limitationscited by 8
  15. 2024Fine Time Measurement for the Internet of Things: A Practical Approach Using ESP32cited by 2

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