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PDF(1187 KB)
PDF(1187 KB)
基于能量收割的认知无线电预编码优化
Optimal precoding for energy harvesting cognitive radio
认知无线电(cognitive radio, CR)和能量收割(energy harvesting, EH)技术是提高频谱效率,实现绿色通信的重要手段。但是目前一般将CR和EH作为两个不同的对象分别进行研究。少部分将CR和EH联合研究的工作又均基于输入信号服从Gauss分布的假设。这些不足严重地限制了CR-EH技术在实际情况中的应用。该文基于目前大多数数字通信信号服从的等概率有限字符集分布,分析了EH-CR系统的信道容量,给出了一种基于随机动态规划的预编码算法,提高了EH-CR系统的实用性。仿真结果表明: 该算法可以有效地逼近EH-CR系统所能达到的信道容量上界。
Cognitive radio (CR) can effectively improve spectrum efficiencies while energy harvesting (EH) gives green communications. However, these methods have always been analyzed separately. The small amount of combined research has used the Gaussian input assumption. These drawbacks limit practical applications of combined systems. This study analyzed a combined system using the equip probability finite-alphabet input assumption which is more suitable for digital communication signals. A pre-coder algorithm was developed based on the stochastic dynamic program to improve the system utility. Numerical results show that the algorithm performance approaches the channel capacity upper bound for the combined system.
cognitive radio / energy harvesting / stochastic dynamic program
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