Performance of a cognitive device-to-device network in disaster situation under a collision constraint

In this paper, a multi-hop cognitive radio (CR) enabled device-to-device (D2D) network is considered to extend the communication from a functional area (FA) to a non-functional area (NFA). A D2D user utilizes a cellular user (CU) band in the cognitive mode for information transmission while maintaining the service quality of CUs by satisfying a collision constraint. It transmits with full power in overlay mode, while the power is controlled in underlay mode. We derive the outage probability of the considered D2D network. The main challenge in CR communications lies in the system robustness to uncertainties. In this paper, we also show the impact of the noise power uncertainty in a multi-hop D2D network. The expressions for throughput and energy efficiency are also developed under collision constraint and noise uncertainty. The outage probability, throughput, and energy efficiency are investigated for several network parameters such as collision probability, sensing time, noise uncertainty, etc. It is observed that the collision constraint and noise uncertainty have significant impacts on network performance. A simulation test-bed is developed in MATLAB, and the results obtained in the simulation are verified with the analytical results.

Automated summary

This paper examines a multi-hop cognitive radio (CR) enabled device-to-device (D2D) network that extends communication from a functional area to a non-functional area. D2D users utilize cellular user bands in cognitive mode for information transmission while ensuring service quality for cellular users. The outage probability of the network is derived and the impact of noise power uncertainty is also investigated. Throughput and energy efficiency expressions are developed, taking into account collision constraint and noise uncertainty. Various network parameters are considered, including collision probability, sensing time, and noise uncertainty, and it is observed that collision constraint and noise uncertainty have significant impacts on network performance. A simulation test-bed is developed to verify the analytical results.