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Interference Aware Resource Control for 6G-Enabled Expanded IoT Networks.

Ashu Taneja1, Nayef Alqahtani2, Ali Alqahtani3

  • 1Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India.

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Summary
This summary is machine-generated.

This study introduces a 6G-enabled cell-free IoT network for enhanced connectivity. The proposed scheduling algorithm improves spectral efficiency and minimizes interference for connected devices.

Keywords:
6Ginterferencenext-generation IoTresource controlscheduling

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Telecommunications

Background:

  • Next-generation Internet of Things (IoT) requires robust connectivity, uniform coverage, and scalability for digital transformation.
  • Emerging consumer devices demand advanced IoT solutions for automation, integration, and personalization.
  • Next-generation mobile networks (beyond 5G, 6G) are crucial for intelligent coordination in consumer IoT.

Purpose of the Study:

  • To present a 6G-enabled scalable cell-free IoT network design.
  • To guarantee uniform quality-of-service (QoS) for a growing number of wireless nodes.
  • To propose an efficient resource management and scheduling algorithm for minimizing interference.

Main Methods:

  • Developed a 6G-enabled scalable cell-free IoT network architecture.
  • Proposed a novel scheduling algorithm to minimize interference from neighboring nodes and access points (APs).
  • Utilized mathematical formulations for performance analysis with various precoding schemes and pilot allocation strategies.

Main Results:

  • The proposed algorithm achieved an 18.9% improvement in spectral efficiency using partial regularized zero-forcing (PRZF) precoding at a pilot length of τp=10.
  • Compared to random scheduling, the proposed method improved spectral efficiency by 10.9% for 95% of user nodes.
  • Demonstrated effective resource management through optimal node-to-AP association.

Conclusions:

  • The 6G-enabled cell-free IoT network effectively addresses scalability and QoS requirements.
  • The proposed scheduling algorithm significantly enhances spectral efficiency and reduces interference in wireless networks.
  • This research provides a foundation for future intelligent and connected IoT ecosystems.