Practical 3-D beam pattern based channel modeling for multi-polarized massive MIMO systems
2018 (English)In: Sensors, E-ISSN 1424-8220, Vol. 18, no 4, article id 1186
Article in journal (Refereed) Published
Abstract [en]
In this paper, a practical non-stationary three-dimensional (3-D) channel models for massive multiple-input multiple-output (MIMO) systems, considering beam patterns for different antenna elements, is proposed. The beam patterns using dipole antenna elements with different phase excitation toward the different direction of travels (DoTs) contributes various correlation weights for rays related towards/from the cluster, thus providing different elevation angle of arrivals (EAoAs) and elevation angle of departures (EAoDs) for each antenna element. These include the movements of the user that makes our channel to be a non-stationary model of clusters at the receiver (RX) on both the time and array axes. In addition, their impacts on 3-D massive MIMO channels are investigated via statistical properties including received spatial correlation. Additionally, the impact of elevation/azimuth angles of arrival on received spatial correlation is discussed. Furthermore, experimental validation of the proposed 3-D channel models on azimuth and elevation angles of the polarized antenna are specifically evaluated and compared through simulations. The proposed 3-D generic models are verified using relevant measurement data.
Place, publisher, year, edition, pages
2018. Vol. 18, no 4, article id 1186
Keywords [en]
3-D massive MIMO channel modeling, Antenna elements space, Azimuth angle of arrival, Azimuth angle of departure, Elevation angle of arrival, Elevation angle of departure, Communication channels (information theory), Dipole antennas, Direction of arrival, MIMO systems, Radar systems, Radio communication, Antenna element, Azimuth and elevation angles, Azimuth angles, Elevation angle, Experimental validations, Massive MIMO, Massive multiple-input- multiple-output system (MIMO), Threedimensional (3-d), Directional patterns (antenna)
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-33763DOI: 10.3390/s18041186Scopus ID: 2-s2.0-85045381588OAI: oai:DiVA.org:ri-33763DiVA, id: diva2:1203946
Note
Funding details: Electrabel; Funding details: n0 692529; Funding details: Knowledge Foundation; Funding details: 2015ZX03001035, Guangzhou Science and Technology Program key projects; Funding details: SGLH20131009154139588, CIT, Center for Innovative Technology;
2018-05-042018-05-042022-02-10Bibliographically approved