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An Energy-Efficient Model of Random Cognitive Radio Network: Rayleigh-Lognormal Environment

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Abstract

Motivated by the current demand for improvements in transmission rate and energy efficiency of random wireless cellular networks, we investigate the theoretical model of random cognitive radio network in Rayleigh-lognormal fading environment. In such a network, we derive an analytical expression for the connection probability, transmission rate, and energy efficiency of a secondary network in a single-tier downlink scenario, considering the probabilities of unoccupied channel selection and of successful transmission, where source-destination pairs are randomly located according to Poisson point processes. Moreover, we approach the problem of optimization of transmission rate and energy efficiency using a required connection probability constraint to improve the system performance. Our numerical results indicate that there exists an optimal combination of transmission power and secondary transmitter density where transmission rate and energy efficiency are maximized.

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Notes

  1. Based on spectrum sensing results, SUs make a channel ranking table depending on the measurement of channel quality \(\left( i.e., \left[ max(P_{d}), min(P_{f}), min(\mathrm{SNR(dB)})\right] \right)\) where SNR is the received signal-to-noise ratio of PT. Then the optimum channel is selected comparison between the measurement of the channel and the standard value \(\left( i.e., \,\left[ P_d \ge 0.9, P_f \le 0.1, \mathrm{SNR} \le -20\, \mathrm{dB}\right] \, \right)\).

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Authors and Affiliations

  1. Department of Electronics and Control Engineering, Hanbat National University, Daejeon, South Korea

    Saifur Rahman Sabuj

  2. Department of Electrical and Electronic Engineering, Bangladesh University, Dhaka, Bangladesh

    Tabassum E Nur

  3. Graduate School of Engineering, Kochi University of Technology, Kami, Japan

    Masanori Hamamura

Authors
  1. Saifur Rahman Sabuj
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  2. Tabassum E Nur
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  3. Masanori Hamamura
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Correspondence to Saifur Rahman Sabuj.

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Sabuj, S.R., Nur, T.E. & Hamamura, M. An Energy-Efficient Model of Random Cognitive Radio Network: Rayleigh-Lognormal Environment. Wireless Pers Commun 114, 1963–1981 (2020). https://doi.org/10.1007/s11277-020-07457-1

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