An Adaptive Hybrid Beamforming Technique for Analysis of Throughput, Blocking Probability, Transmission Power in 5G MIMO mmWave

K. Srinivas, Bojja Sai Kiran, Thati Sathvika, Peram Kishore
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Abstract

The main purpose of designing broadband wireless network is to reduce the hardware complexity. This research study describes the effectiveness of an adaptable mixed analog-digital beamforming method in 5G MIMO mmWave broadband networks. The generated beams will be formed based on the traffic demands via ON-OFF operations of the antennas in vertical antenna array. This aids in offering active consumers with high data rate services. All the vertical antenna arrays consist of active radiating elements, which are arranged in a circular array configuration. The entire performance of the proposed approach is evaluated by executing the Monte Carlo simulations in MIMO configuration. The results demonstrate the downlink transmission power, blockage probability, and throughput of wireless cellular networks, which are all improved by the adaptive beamforming method. The proposed adaptive technique can decrease the total amount of actively radiated elements when compared to a fixed grid of beams. Both the transmitted energy and blockage probability can be decreased by altering the vertical antenna systems and maintaining the total number of antennas as constant.
5G MIMO毫米波吞吐量、阻塞概率、发射功率分析的自适应混合波束形成技术
设计宽带无线网络的主要目的是降低硬件复杂度。本研究描述了一种自适应混合模数波束形成方法在5G MIMO毫米波宽带网络中的有效性。通过垂直天线阵中天线的开-关操作,根据业务需求形成产生的波束。这有助于为活跃消费者提供高数据速率服务。所有垂直天线阵列由有源辐射元件组成,其排列成圆形阵列结构。通过在MIMO配置下进行蒙特卡洛仿真,对所提方法的整体性能进行了评估。结果表明,自适应波束形成方法提高了无线蜂窝网络的下行传输功率、阻塞概率和吞吐量。与固定的波束网格相比,所提出的自适应技术可以减少主动辐射单元的总量。通过改变垂直天线系统和保持天线总数不变,可以降低传输能量和阻塞概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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