mlsanityData to 14 Oct 2026

Integrating Sensing and Communications for Ubiquitous IoT: Applications, Trends and Challenges

arXiv 2104.11457 ↗First posted 23 Apr 2021eess.SPcited by 20

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Abstract (arXiv)

Recent advances in wireless communication and solid-state circuits together with the enormous demands of sensing ability have given rise to a new enabling technology, integrated sensing and communications (ISAC). The ISAC captures two main advantages over dedicated sensing and communication functionalities: 1) Integration gain to efficiently utilize congested resources, and even, 2) Coordination gain to balance dual-functional performance or/and perform mutual assistance. Meanwhile, triggered by ISAC, we are also witnessing a paradigm shift in the ubiquitous IoT architecture, in which the sensing and communication layers are tending to converge into a new layer, namely, the signaling layer. In this paper, we first attempt to introduce a definition of ISAC, analyze the various influencing forces, and present several novel use cases. Then, we complement the understanding of the signaling layer by presenting several key benefits in the IoT era. We classify existing dominant ISAC solutions based on the layers in which integration is applied. Finally, several challenges and opportunities are discussed. We hope that this overview article will serve as a primary starting point for new researchers and offer a bird's-eye view of the existing ISAC-related advances from academia and industry, ranging from solid-state circuitry, signal processing, and wireless communication to mobile computing.

Key facts. Cited by 20 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Apr 2021.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 3; 2023: 6; 2024: 4; 2025: 5; 2026: 2.

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  1. 2023Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimizationcited by 56
  2. 2025WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communicationcited by 40
  3. 2022Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AIcited by 33
  4. 2024A Survey on Integrated Sensing, Communication, and Computationcited by 12
  5. 2023Joint Sensing and Semantic Communications with Multi-Task Deep Learningcited by 7
  6. 2023Integrated Sensing-Communication-Computation for Edge Artificial Intelligencecited by 4
  7. 2023Task-Oriented Integrated Sensing, Computation and Communication for Wireless Edge AIcited by 4
  8. 2023Joint Sensing and Task-Oriented Communications with Image and Wireless Data Modalities for Dynamic Spectrum Accesscited by 3
  9. 2025Attention-based Adversarial Robust Distillation in Radio Signal Classifications for Low-Power IoT Devicescited by 2
  10. 2025Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classificationscited by 2
  11. 2024Near-field Beam training for Extremely Large-scale MIMO Based on Deep Learningcited by 1
  12. 2024CSI4Free: GAN-Augmented mmWave CSI for Improved Pose Classificationcited by 1
8 more
  1. 2022VHetNets for AI and AI for VHetNets: An Anomaly Detection Case Study for Ubiquitous IoTcited by 0
  2. 2022Need of 6G for the Metaverse Realizationcited by 0
  3. 2023Multi-Base Station Cooperative Sensing with AI-Aided Trackingcited by 0
  4. 2024Adversarial Robustness of Distilled and Pruned Deep Learning-based Wireless Classifierscited by 0
  5. 2025CSIYOLO: An Intelligent CSI-based Scatter Sensing Framework for Integrated Sensing and Communication Systemscited by 0
  6. 2025mmHSense: Multi-Modal and Distributed mmWave ISAC Datasets for Human Sensingcited by 0
  7. 2026Deep Learning-Driven Friendly Jamming for Secure Multicarrier ISAC Under Channel Uncertaintycited by 0
  8. 2026Robust Design of Integrated Sensing and Communication in LEO Satellite Systemscited by 0