Massive MIMO下行系统小区能效算法

Energy efficiency algorithm of small cell under massive MIMO downlink system

在大规模多输入多输出(massive MIMO)下行链路系统下,不牺牲用户端Qo S,进行优化能源效率,对信号发射动态功率进行了推导,这个问题被证明有一个隐藏凸优化,利用凸优化提出优化算法,动态的集中能量给用户分配同时减少了损耗。在相同条件和假设下,与传统的迫零预编码(ZF)和最大比传输(MRT)预编码方案进行性能分析并比较。仿真结果与理论结果一致,并表明在相同条件下优化算法比ZF的性能好,ZF比MRT性能更好。

Under massive MIMO downlink system,without sacrificing Qo S at users,and optimizing energy efficiency,derives signal dynamic transmitting power,the problem is proved to has hidden convex optimization and propose optimization algorithm,dynamically assigns energy to users,at the same time,reducing energy losses. Under the same conditions and hypothesis,simulation results are consistent with theoretical results,and show that performance of optimization algorithm is better than the ZF,ZF is better than the maximal ratio transmission（ MRT）.