首页> 外文会议>2019 IEEE 89th Vehicular Technology Conference >Joint Data and Pilot Power Control Algorithm for Weighted Sum SE in Uplink Single-Cell MU-Massive MIMO Systems
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Joint Data and Pilot Power Control Algorithm for Weighted Sum SE in Uplink Single-Cell MU-Massive MIMO Systems

机译:上行单小区MU-Massive MIMO系统中加权求和SE的联合数据和导频功率控制算法

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This paper consider the joint data and pilot power control problem in uplink single-cell multi-user massive multiple-input-multiple-output (MU-Massive- MIMO) systems. Instead of using equal data and pilot power allocation among each user equipment (UE), in this paper, we formulate the power control as an optimization problem for weighted sum spectral efficiency (SE) maximization objective subject to per-user pilot and data power budget in the uplink. To this end, we derive a lower bound expression on the average uplink SINR with maximum ratio combination (MRC) receiver under imperfect channel knowledge. Since the optimization of weighted sum SE has been proved to be a NP-hard problem, we propose an efficient algorithm to obtain an approximated optimal solution with polynomial complexity, by joint iterative optimization over data power and pilot power for each UE. The convergence of the proposed algorithm is guaranteed and discussed. Numerical results demonstrate the optimality of the proposed algorithm and show notable SE performance gains over suboptimal algorithms in previous work.
机译:本文考虑了上行单小区多用户大规模多输入多输出(MU-Massive-MIMO)系统中的联合数据和导频功率控制问题。本文不是在每个用户设备(UE)之间使用相等的数据和导频功率分配,而是将功率控制公式化为针对每个用户导频和数据功率预算的加权总频谱效率(SE)最大化目标的优化问题。在上行链路中。为此,我们在不完善的信道知识下,在具有最大比率组合(MRC)接收器的平均上行链路SINR上得出下界表达式。由于已证明加权和SE的优化是一个NP难题,因此我们提出了一种有效的算法,通过对每个UE的数据功率和导频功率进行联合迭代优化来获得具有多项式复杂度的近似最优解。该算法的收敛性得到了保证和讨论。数值结果证明了所提算法的最优性,并表明SE性能比先前的次优算法有显着提高。

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