论文标题

用多切尔协调的波束形成和功率控制量化大型MIMO系统

Quantized Massive MIMO Systems with Multicell Coordinated Beamforming and Power Control

论文作者

Choi, Jinseok, Cho, Yunseong, Evans, Brian L.

论文摘要

在本文中,我们研究了基础站(BSS)的协调多点(COMP)波束形成和功率控制问题,在低分辨率类似物到数字转换器(ADCS)和数字对数字转换器(DACS)下,在粗定量下,在粗量化下具有大量的天线阵列(DACS)。与高分辨率ADC和DAC系统不同,需要在COMP设计中考虑的不可忽略的量化噪声使问题更具挑战性。我们首先提出上行链路(UL)和下行链路(DL)系统的总功率最小化问题。然后,在粗量化系统下,我们为UL和DL问题得出了强大的双重性。利用二元性,我们提出了一个针对双重目标的框架:通过以分布式的方式开发迭代算法,发现UL中的最佳传输功率,并作为UL组合仪的缩放实例获得DL中的最佳先编码。在每个细胞的均质传输功率和SINR约束下,我们通过分析SINR的下限进一步得出了UL COMP问题的确定性解决方案。最后,我们将派生的结果扩展到宽带正交频划分多路复用系统,以优化所有子载波的发射功率和光束形式。仿真结果验证了理论结果和提出的算法。

In this paper, we investigate a coordinated multipoint (CoMP) beamforming and power control problem for base stations (BSs) with a massive number of antenna arrays under coarse quantization at low-resolution analog-to-digital converters (ADCs) and digital-to-analog converter (DACs). Unlike high-resolution ADC and DAC systems, non-negligible quantization noise that needs to be considered in CoMP design makes the problem more challenging. We first formulate total power minimization problems of both uplink (UL) and downlink (DL) systems subject to signal-to-interference-and-noise ratio (SINR) constraints. We then derive strong duality for the UL and DL problems under coarse quantization systems. Leveraging the duality, we propose a framework that is directed toward a twofold aim: to discover the optimal transmit powers in UL by developing iterative algorithm in a distributed manner and to obtain the optimal precoder in DL as a scaled instance of UL combiner. Under homogeneous transmit power and SINR constraints per cell, we further derive a deterministic solution for the UL CoMP problem by analyzing the lower bound of the SINR. Lastly, we extend the derived result to wideband orthogonal frequency-division multiplexing systems to optimize transmit power and beamformer for all subcarriers. Simulation results validate the theoretical results and proposed algorithms.

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