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Robust ISAC based framework for location estimation and target detection in 6G networks.

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Integrated sensing and communication (ISAC) enhances 6G networks by unifying communication and sensing. This framework improves localization accuracy and detection reliability for 6G IoT and autonomous systems.

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Area of Science:

  • Wireless communication
  • Signal processing
  • Network architecture

Background:

  • Sixth generation (6G) networks require enhanced spectrum utilization and situational awareness.
  • Integrated Sensing and Integration (ISAC) is a unified functionality for 6G.
  • Cloud-Radio Access Network (C-RAN) architecture provides a centralized framework.

Purpose of the Study:

  • Propose a centralized ISAC framework within a C-RAN architecture.
  • Enable simultaneous communication and high-resolution environmental sensing.
  • Evaluate localization accuracy and target detection reliability.

Main Methods:

  • Utilize uniform linear antenna arrays at access points.
  • Develop a hybrid signal transmission model (LoS/NLoS).
  • Implement TOA, TDOA, DOA for localization and hypothesis testing for detection.

Main Results:

  • DOA estimation shows an 8.75dB gain at 10dB SNR when M increases from 5 to 10.
  • Probability of Detection (PD) improves with increasing M and L.
  • Achieved 15 dB gain (Swerling model-1) and 20 dB gain (Swerling model-2) in PD.

Conclusions:

  • The proposed ISAC framework offers scalable solutions for 6G IoT networks.
  • Enhanced localization accuracy and detection reliability are achieved.
  • The framework supports autonomous systems with improved performance.