The objective of the study is to consider the foremost high-tech issue of mobile radio propagation i.e. path loss for an outdoor and indoor environment for mmWave in a densely populated area.60 [GHz] mmWave is a win-win for the 5th Generation radio network. Several measurements and simulations are performed using the simulator “Smart Cognitive 3D Ray Tracer” build in MATLAB. Two of the main parameters (pathloss and received signal strength (RSS)) of the radio propagation are obtained in this study. To compute the pathloss and RSS, 5G 3GPP mobile propagation model is selected due to its flexibility of scenario and conditions beyond 6 GHz frequency. For indoor simulations, we again chose 5G 3GPP mobile propagation model. It is evident from the recent previous studies that there is still not enough findings in the ray tracing specially cognitive 3D ray tracing. The suggested alternative cognitive algorithm here deals with less iterations and effective use of resources. The conclusions of this work also comprise that the path loss is reliant on separation distance of base station and receiver. The above mentioned frequency and interconnected distance reported here provide better knowledge of mobile radio channel attributes and can be also used to design and estimate the performance of the future generation (5G) mobile networks.

该研究的目的是考虑移动无线电传播的首要高科技问题，即在人口稠密区域内mmWave在室外和室内环境的路径损耗。60[GHz] mmWave是第五代无线电的双赢网络。使用MATLAB中内置的模拟器“ Smart Cognitive 3D Ray Tracer”执行了一些测量和模拟。这项研究获得了无线电传播的两个主要参数（路径损耗和接收信号强度（RSS））。为了计算路径损耗和RSS，选择5G 3GPP移动传播模型是因为其场景和条件的灵活性超过6 GHz频率。对于室内仿真，我们再次选择了5G 3GPP移动传播模型。从最近的先前研究中可以明显看出，在光线追踪中，尤其是在认知3D光线追踪中，仍然没有足够的发现。此处建议的替代认知算法处理的迭代次数较少，并且有效利用了资源。这项工作的结论还包括，路径损耗取决于基站和接收器之间的距离。此处报告的上述频率和互连距离可更好地了解移动无线电信道属性，还可用于设计和评估下一代（5G）移动网络的性能。这项工作的结论还包括，路径损耗取决于基站和接收器之间的距离。此处报告的上述频率和互连距离可更好地了解移动无线电信道属性，还可用于设计和评估下一代（5G）移动网络的性能。这项工作的结论还包括，路径损耗取决于基站和接收器之间的距离。此处报告的上述频率和互连距离可更好地了解移动无线电信道属性，还可用于设计和评估下一代（5G）移动网络的性能。