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Massive MIMO Systems for 5G Communications with Optimal Spectrum Efficiency

机译:具有最佳频谱效率的用于5G通信的大规模MIMO系统

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Massive Multi-input and Multi-output(MIMO) is an assuring technique to enlarge spectral-efficiency (SE) for wireless networks, by assembling antenna arrays using more active elements on base stations then by performing the coherent-transceiver processing on each base station. A common criterion exists that the systems are supposed to contain an order of magnitude of more M antennas than the K scheduled users (SUs), since channels of the user's are expected to be close-orthogonal when M / K > 10, but this criterion which optimizes the SE has not been proved. Here, we investigate how the optimal-number of K* SUs depends on M antennas and new SE expressions are also derived to facilitate effective system-level scrutiny through power-control, user positions and random pilot-reuse. Use of K* in the large-M system antennas is obtained in closed-form. Concurrently the simulations are also used to illustrate what occurs at finite M, in dissimilar interference conditions, with dissimilar processing techniques and dissimilar pilot-reuse factors, and processing patterns. Up to great portion of the coherence block have to be committed to pilots as well as the optimal M/K are limited to 10 in various circumstances of practical purpose. Interestingly, K* relies effectively on the processing technique and therefore it is unreasonable to compare distinct techniques using the same number of K.
机译:大规模多输入多输出(MIMO)是通过在基站上使用更多有源元件组装天线阵列然后在每个基站上执行相干收发器处理来扩大无线网络的频谱效率(SE)的保证技术。存在一个共同的标准,即系统应该包含比K个调度用户(SU)多一个数量级的天线,因为当M / K> 10时,用户的信道应该是近似正交的,但是这个标准优化SE的方法尚未得到证明。在这里,我们研究K * SU的最佳数量如何取决于M根天线,并且还推导出新的SE表达式,以通过功率控制,用户位置和随机导频重用来促进有效的系统级检查。大M系统天线中以封闭形式使用K *。同时,仿真还用于说明在不同的干扰条件下,使用不同的处理技术和不同的导频重用因子以及处理模式时,在有限的M处发生的情况。在实际应用中的各种情况下,大部分相干块必须由飞行员承担,并且最佳M / K限制为10。有趣的是,K *有效地依赖于处理技术,因此使用相同数量的K比较不同的技术是不合理的。

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