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Energy-efficient pilot and data power allocation in massive MIMO communication systems based on MMSE channel estimation

机译:基于MMSE信道估计的大规模MIMO通信系统中的高能效导频和数据功率分配

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This paper addresses the pilot and data power allocation issue in time division duplexing (TDD) massive multi-user multiple-input multiple-output (MU-MIMO) systems. By using minimum mean square error (MMSE) channel estimation along with a maximum-ratio combining (MRC) detector for the uplink transmission and a maximum-ratio transmission (MRT) precoder for the downlink transmission, a novel pilot and data power allocation scheme is proposed to minimize the total uplink and downlink transmit power under per-user signal to interference-plus-noise ratio (SINR) and power consumption constraints. The main contribution of this paper lies in formulating the original energy efficient power allocation problem and converting such a complicated optimization problem to a geometric programming one. Computer simulation shows that the proposed scheme can save up to 78% of the total power as compared to the equal power allocation among all the mobile users.
机译:本文解决了时分双工(TDD)大规模多用户多输入多输出(MU-MIMO)系统中的导频和数据功率分配问题。通过将最小均方误差(MMSE)信道估计与最大比合并(MRC)检测器用于上行链路传输以及将最大比传输(MRT)预编码器用于下行链路传输,可以实现一种新颖的导频和数据功率分配方案提出了在每用户信号与干扰加噪声比(SINR)和功耗约束条件下最小化总上行链路和下行链路发射功率的方法。本文的主要贡献在于制定原始的节能功率分配问题,并将如此复杂的优化问题转换为几何规划问题。计算机仿真表明,与所有移动用户之间相等的功率分配相比,该方案可以节省多达78%的总功率。

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