Propagation Characteristics of Air-to-Air Channels in Urban Environments

In this paper, we study the propagation characteristics of air-to-air (A2A) channels in a virtual urban scenario generated with the ITU-R model. Based on ray- tracing simulations, we explore the behavior of large- scale fading when taking the environmental setup into consideration. Our analytical results show that the large-scale fading statistics, e.g., pathloss exponent (PLE) and shadow fading variance, are associated with the receiver height and elevation angle. Furthermore, we derive an approximate expression for line-of-sight probability according to the deployment and distribution of buildings. The expression is characterized as a function of receiver height and elevation angle with the condition of high transmitter height. To efficiently evaluate the performance of unmanned aerial vehicle (UAV) communication systems, we then propose an empirical propagation channel prediction model, which can be easily extended to different scenarios in the ITU-R model.

[1]  Shidong Zhou,et al.  Channel Model in Urban Environment for Unmanned Aerial Vehicle Communications , 2018, ArXiv.

[2]  P. Pechac,et al.  Elevation Dependent Shadowing Model for Mobile Communications via High Altitude Platforms in Built-Up Areas , 2008, IEEE Transactions on Antennas and Propagation.

[3]  Wei Zhang,et al.  Coverage Probability Analysis of UAV Cellular Networks in Urban Environments , 2018, 2018 IEEE International Conference on Communications Workshops (ICC Workshops).

[4]  Jeroen Wigard,et al.  Radio Channel Modeling for UAV Communication Over Cellular Networks , 2017, IEEE Wireless Communications Letters.

[5]  V. S. Abhayawardhana,et al.  Comparison of empirical propagation path loss models for fixed wireless access systems , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[6]  Rui Zhang,et al.  Wireless communications with unmanned aerial vehicles: opportunities and challenges , 2016, IEEE Communications Magazine.

[7]  Walid Saad,et al.  Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs , 2015, IEEE Transactions on Wireless Communications.

[8]  Abbas Jamalipour,et al.  Modeling air-to-ground path loss for low altitude platforms in urban environments , 2014, 2014 IEEE Global Communications Conference.

[9]  Robert W. Heath,et al.  Analysis of Blockage Effects on Urban Cellular Networks , 2013, IEEE Transactions on Wireless Communications.

[10]  Theodore S. Rappaport,et al.  Wideband Millimeter-Wave Propagation Measurements and Channel Models for Future Wireless Communication System Design , 2015, IEEE Transactions on Communications.

[11]  Wei Zhang,et al.  Spectrum Sharing for Drone Networks , 2017, IEEE Journal on Selected Areas in Communications.

[12]  Sanjay Jha,et al.  On the importance of link characterization for aerial wireless sensor networks , 2016, IEEE Communications Magazine.

[13]  Mladen Veletic,et al.  Wireless insite software verification via analysis and comparison of simulation and measurement results , 2012, 2012 Proceedings of the 35th International Convention MIPRO.

[14]  Limin Xiao,et al.  Path loss model based on cluster at 28 GHz in the indoor and outdoor environments , 2017, Science China Information Sciences.