mlsanityData to 7 Oct 2026

A Survey on Fundamental Limits of Integrated Sensing and Communication

arXiv 2104.09954 ↗First posted 16 Apr 2021cs.IT eess.SP math.ITcited by 19

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Abstract (arXiv)

The integrated sensing and communication (ISAC), in which the sensing and communication share the same frequency band and hardware, has emerged as a key technology in future wireless systems. Early works on ISAC have been focused on the design, analysis and optimization of practical ISAC technologies for various ISAC systems. While this line of works are necessary, it is equally important to study the fundamental limits of ISAC in order to understand the gap between the current state-of-the-art technologies and the performance limits, and provide useful insights and guidance for the development of better ISAC technologies that can approach the performance limits. In this paper, we aim to provide a comprehensive survey for the current research progress on the fundamental limits of ISAC. Particularly, we first propose a systematic classification method for both traditional radio sensing (such as radar sensing and wireless localization) and ISAC so that they can be naturally incorporated into a unified framework. Then we summarize the major performance metrics and bounds used in sensing, communications and ISAC, respectively. After that, we present the current research progresses on fundamental limits of each class of the traditional sensing and ISAC systems. Finally, the open problems and future research directions are discussed.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Apr 2021.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 1; 2024: 3; 2025: 7; 2026: 6.

19 papers.

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  1. 2022DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Datasetcited by 53
  2. 2023Green Edge AI: A Contemporary Surveycited by 24
  3. 2025RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Constructioncited by 11
  4. 2022AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communicationscited by 6
  5. 2024GDM4MMIMO: Generative Diffusion Models for Massive MIMO Communicationscited by 6
  6. 2025DeepSeek-Inspired Exploration of RL-based LLMs and Synergy with Wireless Networks: A Surveycited by 6
  7. 2025Semantic Communications with Computer Vision Sensing for Edge Video Transmissioncited by 5
  8. 2025RadioMamba: Breaking the Accuracy-Efficiency Trade-off in Radio Map Construction via a Hybrid Mamba-UNetcited by 5
  9. 2024Cross-domain Learning Framework for Tracking Users in RIS-aided Multi-band ISAC Systems with Sparse Labeled Datacited by 4
  10. 2025Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunitiescited by 3
  11. 2025Random Multiplexingcited by 1
  12. 2024Variational Source-Channel Coding for Semantic Communicationcited by 0
7 more
  1. 2025Learning-Based Resource Management in Integrated Sensing and Communication Systemscited by 0
  2. 2026When Simultaneous Localization and Mapping Meets Wireless Communications: A Surveycited by 0
  3. 2026The Internet of Physical AI Agents: Interoperability, Longevity, and the Cost of Getting It Wrongcited by 0
  4. 2026Resolving Multi-Target Association in OFDM-based ISAC via Vision-aided Multi-Modal Learningcited by 0
  5. 2026AI-Empowered UAV-Assisted Backscatter Localization and ISAC for Zero-Energy IoT: A Comprehensive Surveycited by 0
  6. 2026From Intent to Infrastructure: LLM-Driven Agent Compilers for ISAC Networkscited by 0
  7. 2026SignalReasoner: Assessing the Upper Bound of 3B Models for Signal Mathematical Reasoningcited by 0