感知无线云网络中基于传输时间的节能优化方案

在感知无线云网络中，本文针对感知用户数据传输时发生冲突造成能量浪费问题，给出了一种移动云计算辅助下基于感知数据传输时间优化的终端节能方案。通过云平台强大的计算处理能力对感知用户业务量进行统计分析，并导出了不可靠检测区域；在此基础上，采用感知用户不可靠检测概率为目标函数，使不可靠检测概率最小的同时，计算出感知用户最佳的数据传输时间，并根据业务量对感知用户的传输时间进行自适应调整，实现对感知用户的宏观调控，从而节约系统中感知终端的能耗。仿真结果表明该方案使得感知用户的碰撞概率降低，在提高了感知用户数据传输可靠性，并降低由于数据碰撞造成的终端能耗。

Energy-saving based on data transmission time of cognitive users with cloud computing aided in cognitive networks

In cognitive cloud radio networks, to solve the energy dissipation problem caused by the collision between cognitive users when they transport data in the cognitive radio cloud network, this paper proposes an energy-saving scheme for the mobile terminal based on optimizing the data transmission time of cognitive users. Making use of the powerful ability of processing data by cloud, the cognitive wireless cloud analyzes the throughput of cognitive users and detects unreliable detection area. Further, it calculates the best data transmission time and adjusts the transmission time of cognitive users based on the throughput while ensuring the unreliable detection probability minimum. By optimizing the transmission time, the system saves energy for the cognitive terminal. The simulation results indicate that our proposed scheme reduces the collision probability of cognitive users and improves the reliability of data transmission.