The Impact of Spectrum Sharing Strategies on the E2E Performance of Machine Type Communication

This paper addresses spectrum sensing and sharing strategies for machine type communication in the cognitive net- works. We assess how such solutions preserve the transmissions of the primary nodes, as well as their impact on the performance of the underlay secondary network. The system-level performance is evaluated by means of computer simulations using the Monte Carlo approach. Our results show that primary nodes signif- icantly benefit from the proposed spectrum sharing strategies, whereas the secondary devices may be severely compromised depending on their relative disposition relative to nodes higher priority. Moreover, there exist an inherent trade off between the quality of service experienced by the primary user and the overall spectrum efficiency in terms of the number simultaneous transmission in the underlay secondary network.