A 5G Framework and its Analysis of Interference Cancellation in Multi-Tier Heterogeneous Networks

In order to attain the maximum data rate and better spectral efficiency for the 5G wireless communication network, the operators increase user density of cellular network to reduce the transmitter-receiver distance. Due to densification and wireless networks being interference-limited systems, it motivates a use of interference mitigation techniques. In this work, we present a statistical framework to evaluate and measure the performance of multi-tier heterogeneous networks using successive interference cancellation (SIC) capabilities in an heterogeneous environment where the access points and users are randomly distributed. We analyse the performance of users based on success probability, ergodic capacity, throughput gain, outage probability and coverage probability. The interference cancellation technique regenerates the interfering signals and then cancel them to improve the SIR ratio of the received signal. Hence statistical model includes performance based on varying maximum instantaneous SIR and load.