Task identification in Massive MIMO Technology for Its Effective Implementation in 5G and Satellite Communication

J. Chattopadhyay, Spv . Subba Rao
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引用次数: 2

Abstract

Due to the large number of users, wireless communication is finding restriction to provide adequate bandwidth and Quality of Service (QoS). It is expected that the demand will be fulfilled by 5G technology. There is also a large data rate requirement for satellite communication. Today cellular technology fails to deliver this data rate due to their LOS requirement and also increased number of cells. The solution to this can be to use Milli-metric wave communication and Massive Multiple Input Multiple Output (MIMO). MIMO with multiple transmit and receive antenna can ensure spectrum efficiency (SE) and data reliability by using space multiplexing and spectral diversity. MIMO with the help of beam-forming antenna and channel state information (CSI) can provide energy efficiency (EE) also. Similar concepts can be extended to satellite communication. This paper has identified the tasks related to the implementation of MIMO and also suggested prototype set up for their evaluation.
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大规模MIMO技术在5G和卫星通信中的任务识别
由于用户数量庞大,无线通信在提供足够的带宽和服务质量(QoS)方面受到限制。预计5G技术将满足这一需求。卫星通信也有很大的数据速率要求。目前的蜂窝技术由于其LOS要求和增加的蜂窝数量而无法提供这种数据速率。解决方案可以是使用毫米波通信和大规模多输入多输出(MIMO)。多天线收发MIMO通过空间复用和频谱分集技术保证了频谱效率和数据可靠性。借助波束形成天线和信道状态信息(CSI)的MIMO还可以提供能量效率(EE)。类似的概念可以扩展到卫星通信。本文确定了与MIMO实现相关的任务,并建议建立原型以进行评估。
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