Access Policies for Two Cognitive Secondary Users under a Primary ARQ Process

In this thesis work we consider an underlay cognitive radio network that consists of two independent secondary users (SUs) and one primary user (PU) under a primary ARQ process. Our aim is to design optimum decentralized access policies for the SUs in order to maximize the average long term SUs sum throughput under a PU throughput constraint exploiting the redundancy in PU retransmissions by a Forward Interference Cancellation mechanism; we concentrate on offline and online heuristics design.