Downlink SINR Coverage and Rate Analysis with Dual Slope Pathloss Model in mmWave Networks

Due to the large available spectrum, millimeter wave (mmWave) technology is evolving as a promising candidate for next generation cellular communication systems. Recently, much attention has been focussed on the SINR coverage and rate analysis of mmWave networks. However, the existing coverage and rate performance analysis of mmWave networks available in literature consider single slope path loss model. In this paper, we analyze the downlink SINR coverage performance of mmWave networks with the critical distance dependent dual slope path loss model at the mmWave operating frequency of 28 GHz. Furthermore, we consider two different LOS probability functions (Blockage models) to incorporate blockages into path loss model, different base station (BS) densities and different transmit antenna beam pattern to analyze the performance of mmWave network. Our analysis shows that the downlink SINR coverage scales up under the dual slope path loss model as compared to the simplistic path loss model at low base station density (zeta). The spectral efficiency increases as BS density increases. Moreover, we find the higher limit on BS density that improves spectral efficiency. Also, our empirical results show the impact of different transmit antenna pattern and LOS probability functions on the SINR coverage and rate performance of mmWave network.

[1]  Youngbin Chang,et al.  A novel dual-slope mm-Wave channel model based on 3D ray-tracing in urban environments , 2014, 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC).

[2]  Jeffrey G. Andrews,et al.  Coverage and rate trends in dense urban mmWave cellular networks , 2014, 2014 IEEE Global Communications Conference.

[3]  Linda Doyle,et al.  A stochastic geometry framework for LOS/NLOS propagation in dense small cell networks , 2014, 2015 IEEE International Conference on Communications (ICC).

[4]  Robert W. Heath,et al.  Coverage in dense millimeter wave cellular networks , 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

[5]  M. Salazar-Palma,et al.  A survey of various propagation models for mobile communication , 2003 .

[6]  Robert W. Heath,et al.  Coverage and Rate Analysis for Millimeter-Wave Cellular Networks , 2014, IEEE Transactions on Wireless Communications.

[7]  Jeffrey G. Andrews,et al.  Downlink Cellular Network Analysis With Multi-Slope Path Loss Models , 2014, IEEE Transactions on Communications.

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

[9]  Zhouyue Pi,et al.  An introduction to millimeter-wave mobile broadband systems , 2011, IEEE Communications Magazine.

[10]  Jeffrey G. Andrews,et al.  A Tractable Approach to Coverage and Rate in Cellular Networks , 2010, IEEE Transactions on Communications.

[11]  Theodore S. Rappaport,et al.  38 GHz and 60 GHz angle-dependent propagation for cellular & peer-to-peer wireless communications , 2012, 2012 IEEE International Conference on Communications (ICC).

[12]  François Baccelli,et al.  Stochastic Geometry and Wireless Networks, Volume 1: Theory , 2009, Found. Trends Netw..

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

[14]  Theodore S. Rappaport,et al.  Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges , 2014, Proceedings of the IEEE.

[15]  Theodore S. Rappaport,et al.  Millimeter-Wave Enhanced Local Area Systems: A High-Data-Rate Approach for Future Wireless Networks , 2014, IEEE Journal on Selected Areas in Communications.

[16]  Theodore S. Rappaport,et al.  Millimeter Wave Channel Modeling and Cellular Capacity Evaluation , 2013, IEEE Journal on Selected Areas in Communications.

[17]  Robert J. Mailloux,et al.  Phased Array Antenna Handbook , 1993 .