The rationality analysis of massive MIMO virtual measurement at 3.5 GHz

Yu, Hao; Zhang, Jianhua; Zheng, Qingfang; Zheng, Zhe; Lan, Tian; Wu, Ye

doi:10.1109/iccchinaw.2016.7586715

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…where h virtual (t, τ) can be considered as the equivalent CIR collected from a 256 antenna UPA. The rationality of this method was proven in Reference [15]. It shows that there is a good match between the power delay profile (PDP) calculated from CIRs collected from the measurement campaigns and the combined CIRs.…”

Section: Measurement Setup and Data Processingmentioning

confidence: 90%

Cluster Analysis of Pedestrian Mobile Channels in Measurements and Simulations

Wang

Zhang

2019

Applied Sciences

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In wireless communication systems, channels evolve when user terminals move. To further understand channel variation, and especially the evolution of clusters in mobile channels, a set of experiments was designed. First, we performed pedestrian mobile measurements in an urban macro (UMa) scenario at 3.5 GHz, and the K-power means-Kalman filter (KPMKF) algorithm was used for clustering and tracking. By this process, the trajectory of different clusters could clearly be described during measurement. The birth and death rate of clusters per snapshot show that the change of one or two clusters in each snapshot takes more probabilities. In addition, the differences of the cluster lifetime between the clustering process with and without the Kalman filter (KF) algorithm are given to show the effect from the KF. Second, channel simulations were implemented based on the above observed results. The spatial-consistency feature was introduced to get closer to the measured channels, which is based on the primary module of International Mobile Telecommunications-2020 (IMT-2020) channel model. Comparisons among measurements and simulations with and without this feature show that adding this feature improves simulation accuracy. To explore a novel method to characterize clusters during linear movement, a gradient boosted decision-tree (GBDT) algorithm is introduced. It uses the above characteristics of clusters and channel impulse responses (CIRs) as the training and validating dataset. The root mean square error (RMSE) shows that this is promising.

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Section: Measurement Setup and Data Processingmentioning

confidence: 90%

Cluster Analysis of Pedestrian Mobile Channels in Measurements and Simulations

Wang

Zhang

2019

Applied Sciences

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“…In recent years, massive MIMO propagation channel characterization and modeling have attracted much attention in both academia and industry. For instance, the authors in [5] proved the feasibility and reasonability of the virtual measurement with a virtual 256-element uniform planar array through a comparison between virtual and practical measurement. Spatial characteristics in elevation domain for 3D MIMO wideband channel were analyzed and modeled in [6] based on the measurements at 3.5 GHz.…”

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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Measurement-based delay spread analysis of wideband massive MIMO system at 3.5 GHz

Zhang

Zheng

et al. 2017

2017 IEEE International Conference on Computational Electromagnetics (ICCEM)

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The rationality analysis of massive MIMO virtual measurement at 3.5 GHz

Cited by 7 publications

References 12 publications

Cluster Analysis of Pedestrian Mobile Channels in Measurements and Simulations

Cluster Analysis of Pedestrian Mobile Channels in Measurements and Simulations

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

Measurement-based delay spread analysis of wideband massive MIMO system at 3.5 GHz

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