Modeling and Performance Analysis of Cellular and Device-to-Device Heterogeneous Networks

With the development of large scale integrated circuits and Internet technology, 5G has become the hotspot of current domestic and international mobile communication research. Device-to-device communication (D2D) is one of the key technologies of 5G. It enables direct communication between proximate devices, thereby improving the overall spectrum utilization and offloading traffic of cellular networks. In this paper, we use the stochastic geometry and the Poisson cluster process to analyze the uplink of the cellular networks. Firstly, we treat the location of BSs as distributed points according to a homogeneous Poisson point process (PPP), and use the Thomas cluster process to model cellular users and D2D users. Secondly, we take the fact into consideration that the performance of the cellular networks may be different in diverse path loss exponent, node densities, and transmit power. Then, we consider the cellular and D2D heterogeneous Networks, investigate the coverage probability, average achievable rate for such networks, and we compare the performance of the heterogeneous networks when D2D users are included and otherwise. Finally, we quantify the best and worst case performance of the heterogeneous networks in terms of coverage probability.