Demand for traffic volumes and high speeds in communication networks continues to grow exponentially. On the other hand, the most valuable factor in these networks is the frequency spectrum, which is limited and with this huge volume of demand is being saturated. One of the solutions proposed in this field is the use of device-to-device (D2D) communication. But another issue in this regard is the supply of energy needed to transmit information in communication (D2D). The solution proposed in this regard is energy harvesting (EH). In the basic paper selected, D2D transmitters derive their energy from environmental interference and will use one of the channels dedicated to cellular network users. In this paper, the two basic approaches of different spectrum access RSA (random spectrum access) and PSA (prioritized spectrum access)) for cellular communications are investigated. In the RSA approach, all available channels, including those used in D2D transmitters, will be randomly used for cellular communications. But in the PSA approach, the channel dedicated to D2D transmitters will be used for cellular communication when all other channels are occupied. In this article, The channel has been used as an influential factor to describe the relationship of energy harvesting And according to that, the probability of outage in the receivers has been investigated. But other energy models can be used to examine the use of energy harvesting in D2D communications. The model used for energy in this paper is a simplified model of energy that is independent of the channel and depends on the wavelength, transmitter power and distance between receiver and transmitter. By considering this energy model, we can rewrite the relationships related to outage and other relationships related to the selected base paper and examine the effect of factors on these relationships and also compare these effects with the base article. But the model used to describe the location of users and base stations is PPP or Poisson point process. The location of mobile systems may exhibit some clustering and repulsion behaviors. Therefore, the DPP model is used to describe the location of users and base stations that incorporate these characteristics. Another article has been selected to investigate this issue, but this article does not use cognitive radio to send information. Using the RSA and PSA models available in the first base paper and used in the PPP model, they can be entered into the DPP model, which are a kind of radio cognitive, and the results can be examined through relationships and simulation results.
