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CMBF-based dynamic selection for heterogeneous massive MIMO systems
EURASIP Journal on Wireless Communications and Networking ( IF 2.6 ) Pub Date : 2020-03-30 , DOI: 10.1186/s13638-020-01693-6
Yinghui Zhang , Biao Zhang , Yifan Mu , Kun Song , Jing Gao , Yang Liu

In this paper, an optimal coordinated multipoint beamforming (CMBF) scheme is proposed for heterogeneous networks (HetNets) with massive multiple input multiple output (MIMO) systems for energy efficiency (EE), taking into account the maximum transmission power of the base station (BS) with the limitation on the power consumption of the static circuit. This paper analyzes the influence of the different parameters on the EE and derives a closed-form expression. We investigate the different cooperation schemes, considering the influence of the number of antennas of small base station (SBS) and macro base station (MBS), the quality of service (QoS), and the number of different service users. Therefore, the best parameters can be selected for optimizing EE with the different scenarios in HetNets with massive MIMO systems. Theoretical derivation and simulations show that the amount of BS antennas, achievable rate constraints, quantity of service users, and cooperative schemes all have the vital influences on the EE for the CMBF design. Therefore, the proposed optimization framework enables us to identify key system parameters, and obtain the better system design for the massive MIMO HetNets.



中文翻译:

异构大规模MIMO系统基于CMBF的动态选择

考虑到基站的最大传输功率,本文针对具有大规模多输入多输出(MIMO)系统的异构网络(HetNets)提出了一种用于能源效率(EE)的最优协调多点波束成形(CMBF)方案。 BS)限制了静态电路的功耗。本文分析了不同参数对EE的影响,并得出了封闭形式的表达式。考虑小型基站(SBS)和宏基站(MBS)的天线数量,服务质量(QoS)以及不同服务用户数量的影响,我们研究了不同的合作方案。因此,在具有大规模MIMO系统的HetNets中,可以选择最佳参数来优化EE的不同场景。理论推导和仿真表明,BS天线的数量,可达到的速率限制,服务用户数量以及合作方案都对CMBF设计的EE产生了至关重要的影响。因此,提出的优化框架使我们能够识别关键系统参数,并为大规模MIMO HetNets获得更好的系统设计。

更新日期:2020-04-21
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