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Throughput analysis and optimization of cognitive radio networks using incremental relaying

Author

Listed:
  • Ghassan Alnwaimi

    (King Abdulaziz University)

  • Hatem Boujemaa

    (University of Carthage)

Abstract

In this paper, we derive the throughput and Bit Error Probability of incremental relaying for cognitive radio networks. Relaying in the secondary network is performed only when the SNR of the direct link is lower than a predefined threshold $$\beta $$ β . Also, all relays must verify interference constraints: the generated interference to primary receiver must be below a chosen threshold (T) so that the primary throughput is larger than a predefined value. The analysis is valid for different relay selection techniques: Opportunistic amplify and forward, opportunistic decode and forward, partial and reactive AF relay selection. We also consider multihop relaying with single and multiple branches. For multiple branches, two scenarios are considered: all branches are maximum ratio combined or the best branch is activated. We also take into account the interference from primary to secondary nodes. The parameter $$\beta $$ β of incremental relaying is also numerically optimized to achieve the highest secondary throughput.

Suggested Citation

  • Ghassan Alnwaimi & Hatem Boujemaa, 2019. "Throughput analysis and optimization of cognitive radio networks using incremental relaying," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(2), pages 231-247, June.
    • Handle: RePEc:spr:telsys:v:71:y:2019:i:2:d:10.1007_s11235-018-0527-0
    DOI: 10.1007/s11235-018-0527-0
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    References listed on IDEAS

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    1. Khuong Ho-Van & Thiem Do-Dac, 2018. "Joint effect of artificial noise and primary interference on security performance of cognitive radio networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 68(3), pages 593-603, July.
    2. Tuğrul Çavdar & Zhaleh Sadreddini & Erkan Güler, 2018. "Pre-reservation based spectrum allocation for cognitive radio network," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 68(4), pages 723-743, August.
    3. M. Ranjeeth & S. Anuradha, 2018. "The effect of Weibull fading channel on cooperative spectrum sensing network using an improved energy detector," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 68(3), pages 493-512, July.
    4. Omid Moghimi Kandelusy & Seyed Mehdi Hosseini Andargoli, 2018. "Cognitive relay network with several primary receivers and outdated CSI: a new spectrum sharing constraint," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 68(3), pages 385-392, July.
    5. S. Poornima & A. V. Babu, 2018. "Performance analysis of energy harvesting cognitive relay networks with primary interference," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 68(3), pages 445-459, July.
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