Sum throughput maximization in polarized-MIMO based cooperative cognitive radio networks

In this work, we present a polarized-MIMO enabled cooperation framework between multiple secondary users (SUs) and a single primary user (PU). To achieve a two-phase cooperative communication paradigm, some state-of-the-art polarization signal processing techniques, e.g., polarization zero-forcing and oblique projection polarization filtering, are introduced to address the co-channel interference resulting from concurrent transmissions of multiple independent signals. To evaluate the cooperation performance, the sum throughput of the PU and SUs in the decode-and-forward mode is maximized by finding the optimal power allocation. Simulations and numerical results validate the effectiveness of the proposed framework, showing that the polarized-MIMO based cooperative cognitive radio networking can improve the system throughput.