基于授权系统通信状态和波束形成对认知中继系统吞吐量的改进

提出了一种认知中继系统采用半双工放大转发(amplify forward,AF)模式下的功率分配方案,在保证授权用户通信质量不变和认知系统总发射功率受限条件下,最大化认知网络吞吐量,在此基础上分两步实现吞吐量的最大化。首先,在认知中继端采用多天线利用波束成型方法滤除接收转发的干扰信号,然后,根据授权用户通信状态制定不同的最优功率分配方案。仿真结果表明,相比传统的授权用户干扰受限算法,该算法可有效提高认知网络的吞吐量。

Improvement for cognitive relay system throughput based on authorization system state and beam-forming

A power allocation scheme under half-duplex amplify-and-forward ( AF ) mode is provided in order to maximize the cognitive network throughput under the condition of maintenance communication quality for the authorized user and restriction of the total transmit power of cognitive system. A two-step process is achieved to maximize the throughput. First of all, interference signal is filtered by Multi-Antenna beam-forming method in cognitive relay terminal. Then different optimized power allocation schemes are formulated on the basis of the communication state for authorized user. The simulation results indicate that the algorithm can effectively improve the throughput of cognitive network contrasted with the traditional constraint algorithm to the interference for authorization user.