Propagation characteristics of massive MIMO measurements in a UMa scenario at 3.5 &amp; 6 GHz with 100 &amp; 200 MHz bandwidth

Zheng, Zhe; Zhang, Jianhua; Yu, Yawei; Lan, Tian; Wu, Ye

doi:10.1109/pimrc.2017.8292353

Cited by 5 publications

(6 citation statements)

References 10 publications

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“…A 256 x 16 MIMO setup was used in [25] to obtain propagation characteristics at 3.5 and 6 GHz. The measurement scenario investigated was an urban macro cell (UMa) with the transmitter located on the 7th floor (31 m) and the receiver at 1.8 m. In this measurement campaign, LoS and NLoS propagation cases were investigated with the transmit bandwidth of the channel sounder set to 100 and 200 MHz.…”

Section: B Small-scale Fading Measurementsmentioning

confidence: 99%

Channel Modeling and Over-the-Air Signal Quality at 3.5 GHz for 5G New Radio

2021

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With the next generation of mobile communication being trialled across the world, 5G New Radio (NR) promises to provide a flexible radio interface that fits a diverse range of use cases. As trials and pilots progress, propagation studies are required that evaluate electromagnetic (EM) propagation effects for 5G NR signals. In this article, 5G NR signals are used to evaluate the over-the-air (OTA) error vector magnitude (EVM) within a line-of-sight (LoS) rural/urban environment. For the same receiver locations, time dispersion and propagation loss were measured via the root mean square (RMS) delay spread and path loss. The transmitter−receiver distance investigated ranged from 60 m to 450 m. From the measurement campaign, the path loss exponent (PLE) using a directional antenna at the receiver was 1.98, and 1.82 with an omnidirectional antenna. The root mean square error (RMSE) of the floating intercept/close-in (FI/CI) models for the path loss was 4.96/4.74 and 3.84/3.23 for directional and omnidirectional receivers. The delay spread using a cross polar configuration showed significant increase and a dependency of the delay spread on the path loss was observed. For the measurement route, the mean delay spread was 24 ns and 35 ns for directional and omnidirectional measurements. With regards to the EVM, 16 and 64-QAM transmissions were robust along the entire route for directional and omnidirectional antennas, whereas 256-QAM worked in locations where there was minimal obstruction to the propagation path. The average EVM (%) for 16, 64 and 256-QAM measured along the route was 4.5/5.3/3.9 and 3.4/4.3/3.6 for omnidirectional and directional antennas. The OTA results also show that using a directional antenna (as the receiver) significantly improves the obtainable signal quality of 5G NR signals and also reduces outages for higher modulation schemes. With the measurement results presented, system designers can design efficient receivers, estimate coverage and adequately provision services using 5G NR on the sub-6 GHz frequency band. INDEX TERMS Path loss, delay spread, EVM, RF propagation, OTA testing, urban environment, 5G.

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Section: B Small-scale Fading Measurementsmentioning

confidence: 99%

Channel Modeling and Over-the-Air Signal Quality at 3.5 GHz for 5G New Radio

2021

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“…for t ∈ [0, T ), where T is the measurement duration (or observation time). In (7), L denotes the total number of propagation paths, whereas τ l and ν l represent the delay and Doppler frequency of the l-th path, respectively. α l (pT,pR)…”

Section: Multipath Channel Parametersmentioning

confidence: 99%

“…Spatial characteristics in elevation domain for 3D MIMO wideband channel were analyzed and modeled in [6] based on the measurements at 3.5 GHz. In addition, massive MIMO propagation characteristics including the power delay profile, delay spread and angular parameters were studied in [7] via the space-alternating generalized expectationmaximization (SAGE) algorithm, which are based on measurements in a Urban Macro-cell (UMa) Scenario at 3.5 and 6 GHz. Nevertheless, appropriate channel models for massive MIMO are still limited.…”

Section: Introductionmentioning

confidence: 99%

Measurement-based Double-Directional Polarimetric Characterization of Outdoor Massive MIMO Propagation Channels at 3.5GHz

Hao

Rodríguez-Piñeiro

Cai

et al. 2020

2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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Massive multiple-input multiple-output (MIMO) is a key technology for 5G wireless communications since it can improve network throughput, capacity, spatial efficiency, etc. utilizing large-scale antenna arrays. In this paper, we study the direction of departure (DOD) and direction of arrival (DOA) power spectra and the angular spreads for suburban line-of-sight (LoS) environment. Our study is based on a measurement campaign conducted at a carrier frequency of 3.5 GHz, with a bandwidth of 160 MHz and ±45 • dual-polarized 4×8 planar and cylindrical antenna arrays at the transmitter and the receiver, respectively. The space-alternating generalized expectation-maximization (SAGE) algorithm is applied to jointly estimate the DOA, DOD, delay and complex amplitude of the propagation channel measured by the massive MIMO system. Results show that the double-directional channel characteristics exhibit dependence with the employed polarization combination. The obtained characterization results are of great value for the analysis of polarization-dependent design and antenna selection strategies for MIMO systems.

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“…It was presented in [18] that the feasibility and reasonability of a virtual measurement are reasonable in massive MIMO system by comparing the characteristics of time and spatial domain in the virtual measurement and practical measurement at 3.5GHz. In [19] the authors presented the results of power delay profile, delay spread, and extract angular parameters by SAGE algorithm from a measurement conducted with 256 antennas at the transmitter and 16 antennas at the receiver at 3.5GHz and 6GHz. Results show a higher channel capacity at 6GHz than 3.5GHz.…”

Section: Introductionmentioning

confidence: 99%

Measurement-Based Massive MIMO Polarimetric Channel Characterization in Outdoor Environment

et al. 2019

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This paper introduces a measurement campaign to investigate the characteristics of massive multiple-input multiple-output (MIMO) channels in both line-of-sight (LoS) and obstructed LoS suburban outdoor environments. The measurements are conducted at the center frequency of 3.5 GHz with a bandwidth of 160 MHz. The transmitter is equipped with a 4 × 8 planar patch antenna array and the receiver is equipped with a 4 × 8 cylindrical patch antenna array. Each patch consists of two antenna ports which have main polarizations of +45 • and −45 • , respectively, resulting in a total of 64 × 64 sub-channels. We examined the influence of different polarization combinations on channel characteristics such as power delay profile (PDP), K-factor and delay spread for both LoS and obstructed LoS scenarios. Results show that the characteristics are more dependent on the Rx antennas rather than the Tx antennas. When the Rx antennas are facing the Tx antenna array, the received power is higher, the K-factor is lower and the delay spread is lower in cross-polarization cases with respect to the co-polarization ones in general. When the Rx antennas are back-facing the Tx antenna array, lower powers, higher K-factors and higher delay spreads can be observed in cross-polarization cases with respect to the co-polarization cases. In conclusion, the polarimetric influence on the channel characteristics depends on the antenna structure as well as the environment. INDEX TERMS Channel characterization, delay spread, K-factor, massive MIMO, power delay profile.

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Propagation characteristics of massive MIMO measurements in a UMa scenario at 3.5 & 6 GHz with 100 & 200 MHz bandwidth

Cited by 5 publications

References 10 publications

Channel Modeling and Over-the-Air Signal Quality at 3.5 GHz for 5G New Radio

Channel Modeling and Over-the-Air Signal Quality at 3.5 GHz for 5G New Radio

Measurement-based Double-Directional Polarimetric Characterization of Outdoor Massive MIMO Propagation Channels at 3.5GHz

Measurement-Based Massive MIMO Polarimetric Channel Characterization in Outdoor Environment

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