Elevation domain measurement and modeling of UMa uplink channel with UE on different floors

Zhang, Ruonan; Cai, Lin; Lu, Xiaofeng; Yang, Pinlu; Zhou, Jian

doi:10.1109/iccnc.2015.7069427

Cited by 8 publications

(5 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since the major propagation scenarios are the rooftop diffractions and reflections along the building, most of the MPCs have larger elevation angles compared to LOS, thereby resulting in skewed distribution. Our observations are slightly different from the earlier works in the literature [28], [30], [31], where the EoA was fitted using laplacian distribution.…”

Section: A Angular Spread Statisticscontrasting

confidence: 99%

“…8 and 9 respectively plot the CDF of the elevation and azimuth spreads, combined over the measurements done with UE on different floors. We see that the data fits reasonably well with the log-normal distribution 11 , and is consistent with the observations in [26], [30], [31]. However, the observed angular spreads are smaller than the ones reported in these works.…”

Section: A Angular Spread Statisticssupporting

confidence: 90%

“…Ref. [18], [30] and Ref. [31] measured the elevation spreads at the BS and UE for a macro and micro cellular environments respectively.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

3D MIMO Outdoor-to-Indoor Propagation Channel Measurement

Kristem

Sangodoyin

Bas

et al. 2017

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

3-dimensional Multiple-Input Multiple-Output (3D MIMO) systems have received great interest recently because of the spatial diversity advantage and capability for full-dimensional beamforming, making them promising candidates for practical realization of massive MIMO. In this paper, we present a low-cost test equipment (channel sounder) and post-processing algorithms suitable for investigating 3D MIMO channels, as well as the results from a measurement campaign for obtaining elevation and azimuth characteristics in an outdoor-to-indoor (O2I) environment. Due to limitations in available antenna switches, our channel sounder consists of a hybrid switched/virtual cylindrical array with effectively 480 antenna elements at the base station (BS). The virtual setup increased the overall MIMO measurement duration, thereby introducing phase drift errors in the measurements. Using a reference antenna measurements, we estimate and correct for the phase errors during post-processing. We provide the elevation and azimuth angular spreads, for the measurements done in an urban macro-cellular (UMa) and urban micro-cellular (UMi) environments, and study their dependence on the UE height.Based on the measurements done with UE placed on different floors, we study the feasibility of separating users in the elevation domain. The measured channel impulse responses are also used to study the channel hardening aspects of Massive MIMO and the optimality of Maximum Ratio Combining (MRC) receiver.

show abstract

Section: A Angular Spread Statisticscontrasting

confidence: 99%

Section: A Angular Spread Statisticssupporting

confidence: 90%

See 1 more Smart Citation

3D MIMO Outdoor-to-Indoor Propagation Channel Measurement

Kristem

Sangodoyin

Bas

et al. 2017

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

show abstract

“…The authors in [8] performed measurement at 3, 10, 17, and 60 GHz in the O2I scenario and found that the power attenuation was relatively low and frequency-independent for the non-coated glass windows and was high and increasing with frequency for the coated glass windows. In [9], through a measurement campaign in the UMa I2O scenario at 2.6 GHz, the authors found that the probability distribution function (PDF) parameters of ESA were independent to the UE height and position in the non-line of sight (NLOS) case. The authors in [10] measured the vehicle-to-vehicle channels at 5.3 GHz with a bandwidth of 60 MHz in suburban, urban, and underground parking lot environments.…”

Section: Related Workmentioning

confidence: 99%

“…Then we propose an iteration algorithm to identify and model the clusters in an APS, as given in Algorithm 1. The input parameters are the measured APS, parameters of f Lap (φ) for the main cluster, and the power threshold given in (9). The output results are the number of significant clusters and the parameters of f Lap (φ) for the other clusters.…”

Section: ) Localization and Modeling Of Clustersmentioning

confidence: 99%

Dual-Polarized Spatial–Temporal Propagation Measurement and Modeling in UMa O2I Scenario at 3.5 GHz

Zhang

et al. 2019

IEEE Access

Self Cite

View full text Add to dashboard Cite

Outdoor-to-indoor (O2I) coverage in urban areas by using the sub-6 GHz (sub-6G) band is important in the fifth generation (5G) mobile communication system. The spatial-temporal propagation characteristics in different polarizations in the 5G spectrum are crucial for the network coverage. In this paper, we measured the urban macrocell (UMa) O2I channels at 3.5 GHz in the space, time, and polarization domains simultaneously. The channel sounder utilized two ±45 • polarized antenna arrays. The transmitter (TX) was placed on the rooftop of a five-storey building to emulate a base station and the receiver (RX) was moved in the corridors on different floors in another building to emulate user equipments (UEs). We obtained the small-scale parameters of excess delay, power, and azimuth/elevation of arrival (AoA/EoA) of individual multipath components (MPCs), the propagation profiles of azimuth/elevation power spectrum (APS/EPS) and power delay profile (PDP), and the large-scale parameters including azimuth/elevation spread of arrival (ASA/ESA) and delay spread (DS). Based on the measurement results, we propose the lifted-superposed Laplace distribution (LS-Laplace) function and lifted-superposed normal distribution (LS-Normal) function to model the APS and EPS, respectively, and a three-phase model for the PDP. We find that the ASA and ESA follow the lognormal distribution and the DS has a Rayleigh distribution. We also reveal the impact of surrounding environments and polarization on the channel propagation profiles and statistical characteristics. The measurement results and channel models in this paper provide reference for the design and deployment of the 5G system to exploit the spatial and polarization diversities in the UMa O2I scenario.

show abstract

3D Propagation Channels: Modeling and Measurements

Molisch

2016

Signal Processing for 5G

View full text Add to dashboard Cite

Elevation domain measurement and modeling of UMa uplink channel with UE on different floors

Cited by 8 publications

References 7 publications

3D MIMO Outdoor-to-Indoor Propagation Channel Measurement

3D MIMO Outdoor-to-Indoor Propagation Channel Measurement

Dual-Polarized Spatial–Temporal Propagation Measurement and Modeling in UMa O2I Scenario at 3.5 GHz

3D Propagation Channels: Modeling and Measurements

Contact Info

Product

Resources

About