A stochastic geometrical approach for full-duplex MIMO relaying model of high-density network

In a high-density wireless communication network, users suffer from low-performance gains due to multiple path loss and scattering issues. Relay nodes, a significant multi-hop communication approach, provide a decent cost-effective solution, which not only provides better spectral efficiency but also enhances the cell coverage area. In this approach, full-duplex topology is the most efficient way in order to provide maximum throughput at the destination, however, it also leads to undesired relay self-interference. In this paper, we formulated a new Poisson point process approach including a wide variety of interferences by considering a multi-hop high-density cooperative network (source-to-relay and relay-to-destination). Performance evaluation is carried out by using stochastic geometric approach for full-duplex MIMO relaying network to model signal-to-interference-plus-noise ratio (SINR) and success probability followed by average capacity and outage probability of the system. The obtained expressions are amenable and provide better performance as compared to conventional multiple antenna ultra-density network approach.