Closed-form ASE of downlink massive MIMO system with uplink and downlink training
Closed-form ASE of downlink massive MIMO system with uplink and downlink training
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DOI：
10.1109/wcsp.2015.7341274
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发表时间：
2015-10
期刊：
影响因子：
--
通讯作者：
Yitian Dong;Ling Qiu
中科院分区：
文献类型：
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作者：
Yitian Dong;Ling Qiu
大规模多输入多输出（MIMO）是第五代（5G）蜂窝系统的关键技术之一。为了揭示大规模MIMO系统的潜力，重要的是量化可实现的性能。频谱效率（SE）是衡量蜂窝系统性能的重要指标，而面积频谱效率（ASE）是衡量蜂窝系统平均频谱效率的重要指标之一。研究了多用户下行大规模MIMO系统的ASE问题。基站和用户都通过导频训练获得不完全的信道状态信息。我们首先给出了该系统的ASE表达式。在大规模MIMO系统中，当基站的天线数趋于无穷大时，我们应用随机矩阵理论推导出ASE的一个封闭形式的下界。数值结果表明，我们的下限是非常接近的模拟结果。
Massive multi-input multi-output (MIMO) is one of the key technologies for the fifth generation (5G) cellular system. To reveal the potential of massive MIMO systems, it is important to quantify the achievable performance. Spectral efficiency (SE) is an important performance metric for cellular systems, and area spectral efficiency (ASE) is one of the metric of the cell-average SE. This paper considers the ASE for the multiuser downlink massive MIMO system. Both the base station (BS) and the users obtain imperfect channel state information (CSI) through pilot training. We first give the expression of ASE for this system. With the number of antennas at the BS goes to infinity in the massive MIMO system, we apply random matrix theory derive a closed-form lower bound of the ASE. Numerical results show that our lower bound is very close to the simulation results.