Throughput Analysis of Interference Cancellation-Based Random Access With Feedback

Abstract

We consider interference cancellation-based random access for scenarios of multiple users communicating with a common receiver. An instinct feedback is assumed to inform the users whether their packets were correctly recovered. Users update their transmission packets once recovered, or a retransmission process is triggered. At the receiver, interference cancellation decoding is employed to resolve packet collisions. By modeling the transmission and packet recovery as a Markov process, a throughput analysis is provided based on which the optimal transmission probability is derived.