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<p>Cognitive radio networks, efficient spectrum utilization remains challenging due to the conflicting requirements of maximizing secondary user access while protecting primary user transmissions. To resolve this problem, an integrated framework namely COgnitive Spectrum Management through Optimized Sharing (COSMOS) that synergistically combines NOMA-based spectrum sharing and traffic-aware interference threshold management based on dynamic network topology to maximize spectrum utilization while ensuring quality of service for all network participants. COSMOS allows multiple SUs to access the same spectrum simultaneously through power domain multiplexing with proper channel thresholds to ensure PUs are not adversely affected. Adapting the SU network topology based on traffic, delay, and energy requirements allows for more efficient resource utilization and can significantly improve overall network performance. Dynamically adjusting interference thresholds based on different traffic types (critical, non-critical, random) can enhance QoS while maximizing spectrum utilization. Extensive simulations demonstrate that COSMOS significantly outperforms existing approaches, achieving up to 37% higher throughput, 32% improved spectral efficiency, and 44% better energy efficiency while maintaining 95% primary user protection ratio. The framework shows particularly strong performance in handling heterogeneous traffic, improving critical flow success rates by 42% under high network loads. COSMOS represents a significant advancement in cognitive radio network management, offering a comprehensive solution to spectrum scarcity while satisfying diverse quality of service requirements in next-generation wireless networks.</p>

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An Integrated NOMA-based Framework with Adaptive Network Topology and Traffic Flow Control

  • 期刊论文

  • 发表日期：

    2025年11月12日

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  • S. Varalakshmi,
  • R. Niruban,
  • Janjhyam Venkata Naga Ramesh,
  • M. Kameswara Rao

摘要

Cognitive radio networks, efficient spectrum utilization remains challenging due to the conflicting requirements of maximizing secondary user access while protecting primary user transmissions. To resolve this problem, an integrated framework namely COgnitive Spectrum Management through Optimized Sharing (COSMOS) that synergistically combines NOMA-based spectrum sharing and traffic-aware interference threshold management based on dynamic network topology to maximize spectrum utilization while ensuring quality of service for all network participants. COSMOS allows multiple SUs to access the same spectrum simultaneously through power domain multiplexing with proper channel thresholds to ensure PUs are not adversely affected. Adapting the SU network topology based on traffic, delay, and energy requirements allows for more efficient resource utilization and can significantly improve overall network performance. Dynamically adjusting interference thresholds based on different traffic types (critical, non-critical, random) can enhance QoS while maximizing spectrum utilization. Extensive simulations demonstrate that COSMOS significantly outperforms existing approaches, achieving up to 37% higher throughput, 32% improved spectral efficiency, and 44% better energy efficiency while maintaining 95% primary user protection ratio. The framework shows particularly strong performance in handling heterogeneous traffic, improving critical flow success rates by 42% under high network loads. COSMOS represents a significant advancement in cognitive radio network management, offering a comprehensive solution to spectrum scarcity while satisfying diverse quality of service requirements in next-generation wireless networks.