An Empirical Study on Radio Propagation in Heterogeneous Networks: with Focus on Mobile Broadband Networks and Small Cell Deployment

The growing demand for mobile services represents a challenge for the existing networks. In order to cope with the increasing coverage and capacity requirements, operators have shifted the focus of their network evolution strategies from the densification and optimization of the macro layer to the deployment of heterogeneous networks (HetNets), where multiple radio access technologies and cell deployment options will coexist. These networks may be enhanced in the future by the use of higher frequency bands, which can help in supporting larger data rates as well as in coping with capacity problems in ultra-dense deployments. In order to plan and deploy such networks, radio propagation must be studied and properly modeled. The combination of different cell types and new frequencies have shaped a large set of yet unexplored propagation scenarios, which is further enlarged by the atypical use cases that will exist in the future cellular networks. With the aim of providing insight into some of these unexplored propagation scenarios, this thesis investigates, through experimental work and simulation analysis, different deployment configurations. The evaluation of the empirical data, together with the simulation results, is used to provide deployment guidelines and simple models useful for both radio planning and optimization; as well as for standardization purposes. The first part of the work addresses outdoor propagation. In the initial part of the analysis, the applicability of existing large-scale path loss models is validated, based on measurements, for selected frequencies, distances ranges and base station configurations outside of their original range of application. A lower accuracy of the models in the short range is observed, caused by the difficulty in predicting the antenna patterns effects in the close vicinity of the base station antenna. A geometrical extension of the models is proposed and the base station antenna pattern distortion effects are further analyzed in detail by means of simulations. With particular focus on relay node scenarios, a set of deployment guidelines is given based on empirical observations and performance evaluations. The propagation at higher frequencies is explored through several dedicated measurement campaigns for both the urban macro and micro cell scenarios with different base station

[1]  Philip Constantinou,et al.  Microcellular propagation measurements and simulation at 1.8 GHz in urban radio environment , 1998 .

[2]  Werner Wiesbeck,et al.  A versatile wave propagation model for the VHF/UHF range considering three-dimensional terrain , 1992 .

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

[4]  John D. Matyjas,et al.  Wireless Network Performance Enhancement via Directional Antennas: Models, Protocols, and Systems , 2015 .

[5]  Claudio Coletti,et al.  Heterogeneous Deployment Analysis for Cost-Effective Mobile Network Evolution: - An LTE Operator Case Study , 2013 .

[6]  G. K. Chan,et al.  Spectrum requirements of an indoor pico-cell radio system , 1995 .

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

[8]  Naga Bhushan,et al.  LTE-Advanced: Heterogeneous networks , 2010, 2010 European Wireless Conference (EW).

[9]  H. Bertoni,et al.  A theoretical model of UHF propagation in urban environments , 1988 .

[10]  Rose Qingyang Hu,et al.  Analytical study on network spectrum efficiency of ultra dense networks , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[11]  A. J. Rustako,et al.  Radio propagation at microwave frequencies for line-of-sight microcellular mobile and personal communications , 1991 .

[12]  Wei Yu,et al.  Optimization of wireless access point placement in realistic urban heterogeneous networks , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[13]  A.M.D. Turkmani,et al.  Estimating coverage of radio transmission into and within buildings at 900, 1800, and 2300 MHz , 1998, IEEE Wirel. Commun..

[14]  R. Luebbers,et al.  Propagation prediction for hilly terrain using GTD wedge diffraction , 1984 .

[15]  George L. Turin,et al.  A statistical model of urban multipath propagation , 1972 .

[16]  Desmond P. Taylor,et al.  A Statistical Model for Indoor Multipath Propagation , 2007 .

[17]  M. Klepal,et al.  Wireless LAN Network Design: Site Survey or Propagation Modeling? , 2003 .

[18]  Preben E. Mogensen,et al.  Uptilted Macros as an Outdoor Solution for Indoor Users in High Rise Buildings , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[19]  E. Green,et al.  Microcellular Propagation Measurements In An Urban Environment , 1991, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications..

[20]  Nathan Blaunstein,et al.  Multipath Phenomena in Cellular Networks , 2002 .

[21]  L. Martens,et al.  Path Loss Model for Wireless Applications at 3500 MHz , 2006, 2006 IEEE Antennas and Propagation Society International Symposium.

[22]  Luis M. Correia COST 273 - towards mobile broadband multimedia networks , 2003 .

[23]  Guidelines for evaluation of radio interface technologies for IMT-Advanced , 2008 .

[24]  Thomas Zwick,et al.  The COST259 Directional Channel Model-Part I: Overview and Methodology , 2006, IEEE Transactions on Wireless Communications.

[25]  Jukka Lempiäinen,et al.  Optimum Antenna Downtilt Angles for Macrocellular WCDMA Network , 2005, EURASIP J. Wirel. Commun. Netw..

[26]  Yi Wang,et al.  Indoor 5G 3GPP-like channel models for office and shopping mall environments , 2016, 2016 IEEE International Conference on Communications Workshops (ICC).

[27]  M. Hata,et al.  Empirical formula for propagation loss in land mobile radio services , 1980, IEEE Transactions on Vehicular Technology.

[28]  Dirk Grunwald,et al.  Bounding the Practical Error of Path Loss Models , 2012 .

[29]  T. Huschka Ray tracing models for indoor environments and their computational complexity , 1994, 5th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Wireless Networks - Catching the Mobile Future..

[30]  Larry J. Greenstein,et al.  An empirically based path loss model for wireless channels in suburban environments , 1999, IEEE J. Sel. Areas Commun..

[31]  Claude Oestges,et al.  The COST 2100 MIMO channel model , 2011, IEEE Wirel. Commun..

[32]  Gert Frølund Pedersen,et al.  COST 231 - Digital Mobile Radio Towards Future generation Systems , 1999 .

[33]  Roger Durward Wetherington Electromagnetic compatibility analysis center , 1964 .

[34]  Yi Wang,et al.  5G 3GPP-Like Channel Models for Outdoor Urban Microcellular and Macrocellular Environments , 2016, 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring).

[35]  J.-E. Berg,et al.  A recursive method for street microcell path loss calculations , 1995, Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications.

[36]  Zhengqing Yun,et al.  Ray Tracing for Radio Propagation Modeling: Principles and Applications , 2015, IEEE Access.

[37]  L. H. Loew,et al.  Radio propagation into buildings at 912, 1920, and 5990 MHz using microcells , 1994, Proceedings of 1994 3rd IEEE International Conference on Universal Personal Communications.

[38]  S. Yoshida,et al.  Propagation factors controlling mean field strength on urban streets , 1984 .

[39]  F. M. Landstorfer,et al.  Ray Tracing Vs. Ray Launching In 3-D Microcell Modelling , 1995 .

[40]  Yongbin Wei,et al.  A survey on 3GPP heterogeneous networks , 2011, IEEE Wireless Communications.

[41]  Andreas F. Molisch,et al.  Spatially consistent pathloss modeling for millimeter-wave channels in urban environments , 2016, 2016 10th European Conference on Antennas and Propagation (EuCAP).

[42]  J.-E. Berg Building penetration loss along urban street microcells , 1996, Proceedings of PIMRC '96 - 7th International Symposium on Personal, Indoor, and Mobile Communications.

[43]  Sooyoung Hur,et al.  A study on correlation properties of shadow fading of millimeter wave frequency spectrum , 2016, 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC).

[44]  Preben E. Mogensen,et al.  Heterogeneous Network Evolution Studies for a Dense Urban High Rise Scenario , 2014, 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall).