Sum of Sinusoids Simulator for Millimeter Wave Channel Model Towards 5G Networks

The aspirations of users to expand their data rate up to 1 Gbps in the fifth generation (5G) mobile networks open the horizon to exploit the row bandwidths in the millimeter wave (mmW) frequency bands. Several measurement campaigns have been launched to calculate the power delay profile and the large scale fading of the channels (path loss, shadowing) in mmW bands. In this paper, we design a 3D mmW multi-input multi-output channel model to extract the analytical narrowband impulse response. Based on a reference model, we establish a Sum-of-Sinusoids channel simulator in mmW frequency bands that is capable of generating the channel impulse response, which reflects the real conditions. The numerical results illustrate the outcomes of the simulator at different mmW frequency bands.

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

[2]  T. Aulin.  A modified model for the fading signal at a mobile radio channel , 1979, IEEE Transactions on Vehicular Technology.

[3]  Athanasios G. Kanatas,et al.  Three-Dimensional HAP-MIMO Channels: Modeling and Analysis of Space-Time Correlation , 2010, IEEE Transactions on Vehicular Technology.

[4]  Ramjee Prasad,et al.  Virtualization and Scheduling Methods for 5G Cognitive Radio Based Wireless Networks , 2016, Wirel. Pers. Commun..

[5]  Alexandru Vulpe,et al.  Admission Control and Scheduling Algorithm for Multi-carrier Systems , 2017, Wirel. Pers. Commun..

[6]  Theodore S. Rappaport,et al.  Omnidirectional path loss models in New York City at 28 GHz and 73 GHz , 2014, 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC).

[7]  Ali Abdi,et al.  A space-time correlation model for multielement antenna systems in mobile fading channels , 2002, IEEE J. Sel. Areas Commun..

[8]  Ramjee Prasad,et al.  5G Outlook – Innovations and Applications , 2016 .

[9]  Theodore S. Rappaport,et al.  Ultra-wideband statistical channel model for non line of sight millimeter-wave urban channels , 2014, 2014 IEEE Global Communications Conference.

[10]  Theodore S. Rappaport,et al.  Millimeter Wave Wireless Communications , 2014 .

[11]  Gordon L. Stüber,et al.  Space-Time Correlated Mobile-to-Mobile Channels: Modelling and Simulation , 2008, IEEE Transactions on Vehicular Technology.

[12]  J. D. Parsons,et al.  Characterisation of mobile radio signals: model description , 1991 .

[13]  Ramjee Prasad,et al.  5G: 2020 and Beyond , 2014 .

[14]  Theodore S. Rappaport,et al.  73 GHz millimeter wave propagation measurements for outdoor urban mobile and backhaul communications in New York City , 2014, 2014 IEEE International Conference on Communications (ICC).

[15]  Ramjee Prasad,et al.  5G Based on Cognitive Radio , 2011, Wirel. Pers. Commun..

[16]  Gordon L. Stüber,et al.  Three-Dimensional Modeling, Simulation, and Capacity Analysis of Space–Time Correlated Mobile-to-Mobile Channels , 2008, IEEE Transactions on Vehicular Technology.

[17]  Alenka Zajic,et al.  Mobile-to-Mobile Wireless Channels , 2012 .

[18]  Theodore S. Rappaport,et al.  28 GHz propagation measurements for outdoor cellular communications using steerable beam antennas in New York city , 2013, 2013 IEEE International Conference on Communications (ICC).

[19]  Theodore S. Rappaport,et al.  State of the Art in 60-GHz Integrated Circuits and Systems for Wireless Communications , 2011, Proceedings of the IEEE.

[20]  Ramjee Prasad,et al.  Self-Resource Allocation and Scheduling Challenges for Heterogeneous Networks Deployment , 2016, Wirel. Pers. Commun..

[21]  Matthias Ptzold.  Mobile Radio Channels , 2011 .

[22]  Theodore S. Rappaport,et al.  3-D statistical channel model for millimeter-wave outdoor mobile broadband communications , 2015, 2015 IEEE International Conference on Communications (ICC).