Millimeter-wave (mmWave) propagation channels attenuate much faster with distance and are extremely sensitive to dynamic blockage events caused by humans, cars, buses, etc. as compared to traditional sub-6 GHz channels. The use of macro-diversity base stations and coordinated multipoint (CoMP) techniques have been useful in current LTE-A deployments that have been shown to reduce interference and to improve reliability, coverage, and capacity performance through cooperative joint-transmission and coordinated scheduling. Therefore, it is environed that macro-diversity and CoMP techniques will be vital mmWave deployments in order to maintain connectivity in the presence of dynamic blockage events and for small-cell edge improvement.
While the knowledge of mmWave propagation in dense urban environments has been growing quickly, there has been little work focused on propagation measurements to gain an understanding of base station diversity at mmWave. Thus, NYU WIRELESS conducted an access point (AP) diversity propagation measurement campaign in a downtown Brooklyn, New York open-square at 73 GHz and with 1 GHz of RF null-to-null bandwidth to gain knowledge on CoMP and diversity potentials at mmWave and to study the effects of human blockage in densely crowded areas. A new channel sounder and method for absolute propagation delay time was built and used for the propagation measurement campaign, which will allow for analysis on the spatial and temporal channel behavior at mmWave in addition to site-specific modeling that will be useful for ray-tracing applications. The measurements were conducted in 2016 and are currently being processed and analyzed for results.
|G. R. MacCartney, Jr. and T. S. Rappaport, “Rural Macrocell Path Loss Models for Millimeter Wave Wireless Communications,” in IEEE Journal on Selected Areas in Communications, vol. 35, no. 7, pp. 1663-1677, July 2017.||100 GHz, Dynamic Channel Models, Macro-diversity, MmWave cellular system design, mmWave Channel Modeling, mmWave Channel Models, mmWave MAC, mmwave rappaport, multi connectivity handover, Spatial Channel Estimation and Tracking, Spectrum Sharing||2017/07/03|
|G. R. MacCartney, Jr. and T. S. Rappaport, “A Flexible Wideband Millimeter-Wave Channel Sounder with Local Area and NLOS to LOS Transition Measurements,” in 2017 IEEE International Conference on Communications (ICC), Paris, France, May 2017, pp. 1-7.||100 GHz, 5G Channel Models, Channel Sounder, Dynamic Channel Models, Macro-diversity, Millimeter Wave 5G Prototype, MmWave cellular system design, mmWave Channel Modeling, mmWave Channel Models, mmwave rappaport, Prototyping and simulation software, Spatial Channel Estimation and Tracking||2017/05/01|
|G. R. MacCartney Jr., S. Deng, S. Sun, T. S. Rappaport, “Millimeter-Wave Human Blockage at 73 GHz with a Simple Double Knife-Edge Diffraction Model and Extension for Directional Antennas,” 2016 IEEE 84th Vehicular Technology Conference Fall (VTC 2016-Fall), Sept. 2016.||Dynamic Channel Models, Macro-diversity, mmwave rappaport||2016/07/06|
George R. MacCartney, Jr. and Theodore S. Rappaport