中文摘要：

针对水下传感器网络的多用户干扰大和空间复用率低的问题进行了研究,提出采用AR模型预测信道未来状态,然后基于信道预测完成功率控制的算法,从而减小信道时空不确定性的影响。该算法利用随机几何理论,建立SINR（signal to interference-plus-noise ratio）模型,分析接收端的累积干扰状态,然后发送端在信道预测的基础上,以最小化网络中断概率为目标调整发送功率。实验仿真结果表明,基于信道预测的功率控制（power control based on predicted channel state,PCBPC）算法降低了网络能耗,提高了网络空间复用率。与NPC（nonpower control）算法相比,PCBPC算法在典型场景下将中断概率降低了14%,将网络功耗降低了33.3%,提高了空间复用率。

英文摘要：

In order to reduce multi-users interference and improve spatial reuse, this paper proposed PCBPC （ power control based on predicted channel state ）algorithm, which AR model predicted future channel state was to reduce influence of channel uncertainty in time-space. The method set up SINR（ signal to interference-plus-noise ratio） model used random geometry theo- ry and analyzed cumulative noise state in receiver. The transmitter adjusts power based on predicting channel state in order to minimize the outage probability. The simulation results show that PCBPC algorithm can save power and improve spatial reuse. Compared with NPC algorithm, PCBPC algorithm can reduce outage probability by 14%, save power by 33.3% and improve spatial reuse.