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Round robin, distributed and centralized relay selection for cognitive radio networks in the presence of Nakagami fading channels

Author

Listed:
  • Nadhir Ben Halima

    (Taibah University)

  • Hatem Boujemâa

    (SUPCOM, COSIM Lab)

Abstract

In this paper, we investigate the performance of different relay selection techniques for Cognitive Radio Networks (CRN). The network contains a primary transmitter $$P_T$$ P T , a primary receiver ( $$P_R$$ P R ), a secondary source and two secondary destinations. In the first transmission phase, the secondary source transmits a signal to the two secondary destinations only when it generate interference to $$P_R$$ P R less than $$\beta $$ β . In the secondary phase, one destination acts as relay and help the other destination. The generated interference by the chosen relay should be less than a prefixed threshold $$\beta $$ β . If the two destinations generate a lot of interference, there is no cooperation. If a single destination generate interference less than $$\beta $$ β , this node acts as relay. If the two destinations generate low interference, we use centralized (CRS), distributed (DRS) or round robin relay selection (RRRS). Centralized Relay Selection (CRS) chooses the relay having the highest end-to-end Signal to Noise Ratio (SNR). In DRS, a relay is chosen if its SNR is greater than threshold T. The value of T is optimized to have the best performance. RRRS activates both nodes with the same probability i.e. 0.5 without using the value of SNR. Most of previous studies dealt with best relay selection for CRN. Our main contribution is to suggest DRS for CRN and to optimize threshold T. We also derive the Bit Error Probability (BEP) of DRS, CRS and RRRS.

Suggested Citation

  • Nadhir Ben Halima & Hatem Boujemâa, 2019. "Round robin, distributed and centralized relay selection for cognitive radio networks in the presence of Nakagami fading channels," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 70(3), pages 405-415, March.
    • Handle: RePEc:spr:telsys:v:70:y:2019:i:3:d:10.1007_s11235-018-0505-6
    DOI: 10.1007/s11235-018-0505-6
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    Cited by:

    1. Hilary I. Okagbue & Muminu O. Adamu & Timothy A. Anake & Ashiribo S. Wusu, 2019. "Nature inspired quantile estimates of the Nakagami distribution," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 72(4), pages 517-541, December.

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