基于OFDM的认知无线电系统资源分配研究

This paper focuses on the resources allocation for OFDM-based cognitive radio network and deeply study the mutual interference between the primary user and the CR user due to the difference of their transmit signals. Our objective is to maximize secondary user\'s transmission rate under the constraint of primary user\'s tolerable interference limit. We study and explore optimal power loading algorithm and the capacity of the CR user is maximized. We also propose two suboptimal loading algorithms that have less complexity. The performance of optimal and suboptimal schemes are compared with the performance of classical power loading algorithms that are used for conventional OFDM-based systems. Presented numerical results show that for a given interference threshold the proposed optimal scheme achieve more power than the classical loading algorithms. These results also show that the proposed suboptimal schemes offer a performance close to the optimal scheme.