Path loss model in indoor environment at 40 GHz for 5G wireless network

The unused millimeter-wave (mm-wave) spectrum offers a superb opportunity to increase mobile broadband capacity, this is due to the enormous amount of available raw bandwidth. The need for studying the millimeter band frequency becomes a critical issue nowadays to adequate with 5G requirement. This paper presents the outcome of indoor measurement campaigns for cellular systems at 40 GHz for line of sight (LOS) and non-line of sight (NLOS) scenarios. To effectively evaluate the performance of 5G wireless systems in this band, the path loss (PL) models are investigated for this environment. In this paper, single frequency path loss models are presented using the close-in free space reference distance (CI) model and the floating intercept (FI) model. Moreover, the two-ray model is investigated for this band using the same measurement parameters and it is compared with the measurement data. The results find that the path loss exponent (PLE) for CI model and slop line for FI model are identical for LOS and NLOS scenarios. The PLE is 1.8 for LOS scenario and 2.9 for NLOS scenario. The results show that both CI and FI models are most suitable for indoor large-scale path loss modeling for 5G system at 40 GHz in such environment.

[1]  Theodore S. Rappaport,et al.  Millimeter Wave Mobile Communications for 5G Cellular: It Will Work! , 2013, IEEE Access.

[2]  Theodore S. Rappaport,et al.  Investigation of Prediction Accuracy, Sensitivity, and Parameter Stability of Large-Scale Propagation Path Loss Models for 5G Wireless Communications , 2016, IEEE Transactions on Vehicular Technology.

[3]  Ahmed M. Al-Samman,et al.  Indoor Corridor Wideband Radio Propagation Measurements and Channel Models for 5G Millimeter Wave Wireless Communications at 19 GHz, 28 GHz, and 38 GHz Bands , 2018, Wirel. Commun. Mob. Comput..

[4]  Theodore S. Rappaport,et al.  Study on 3GPP rural macrocell path loss models for millimeter wave wireless communications , 2017, 2017 IEEE International Conference on Communications (ICC).

[5]  AKHIL GUPTA,et al.  A Survey of 5G Network: Architecture and Emerging Technologies , 2015, IEEE Access.

[6]  Theodore S. Rappaport,et al.  A Prediction Study of Path Loss Models from 2-73.5 GHz in an Urban-Macro Environment , 2015, 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring).

[7]  M. N. Hindia,et al.  Statistical Modelling and Characterization of Experimental mm-Wave Indoor Channels for Future 5G Wireless Communication Networks , 2016, PloS one.

[8]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[9]  Taoka Hidekazu,et al.  Scenarios for 5G mobile and wireless communications: the vision of the METIS project , 2014, IEEE Communications Magazine.

[10]  I. Khan,et al.  Experimental UWB indoor channel characterization in stationary and mobility scheme , 2017 .