Indoor massive multiple-input multiple-output channel characterization and performance evaluation

Li, Jianzhi; Ai, Bo; He, Ruisi; Wang, Qi; Yang, Mi; Zhang, Bei; Guan, Ke; He, Danping; Zhang, Zhong; Zhou, Ting; Li, Nan

doi:10.1631/fitee.1700021

Cited by 17 publications

(3 citation statements)

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“…Aalborg University compared the power-angulardelay profile (PADP) and validated with ray tracing at 3, 15, and 29 GHz [5], [6]. They also proposed a new ultrawideband (UWB) channel sounding system and compared the PADP and impulse responses (IRs) at 19,26,29, and 39 GHz [7]. In [8], researchers from Ericsson compared the PADP using a cubic array at the 5.8, 14.8, and 58.7 GHz bands [8].…”

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Frequency Characteristics of Geometry-Based Clusters in Indoor Hall Environment at SHF Bands

et al. 2019

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This paper presents an analysis of geometry-based cluster frequency dependency at super-highfrequency bands, including 3, 10, and 28 GHz. First, multipath components were extracted from the measured data by using the space-alternating generalized expectation-maximization algorithm. Then, geometry-based clusters were estimated by using the enhanced scattering point-based KPowerMeans (SPKPM) algorithm. Finally, the frequency dependencies of their scattering intensities were discussed with the assistance of physical optics. The analysis results showed that the SPKPM could also be applied to obtain reasonable scattering locations at multiple frequencies in most cases. In addition, reflection on smooth surfaces was the dominant mechanism of clustering where there was no frequency dependence, whereas diffraction, scattering, and shadowing were significant causes of frequency dependence. Assuming that the line-of-sight is obstructed, diffraction, scattering, and shadowing accounted for 30-40% of the entire channel in terms of power, which was not negligible and thus the channel was largely frequency-dependent. The analysis results are expected to provide crucial insights for multiple-frequency channel modeling for fifth-generation wireless systems. INDEX TERMS Radio propagation, SHF bands, indoor, MPC clustering, channel models, physical optics. I. INTRODUCTION Owing to the large available bandwidth and the possibility to construct a compact antenna array with a large number of elements, millimeter wave (mmWave) bands have been suggested as the primary enabler of fifth-generation (5G) communication systems [1], [2], in order to accommodate a dramatic increase in data traffic. However, the transmitted signals suffer from larger free space path loss in these bands. Furthermore, the performance is more susceptible to shadowing and mobile station movement. Thus, to compensate for these effects as well as to ensure compliance with strict regulations, it is possible that a very large bandwidth or several subbands from the microwave to mmWave bands may be The associate editor coordinating the review of this manuscript and approving it for publication was Jose Saldana.

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“…5,6,14,23,26,and 28 GHz [18]. [19] compared large-scale parameters (LSP) from 2 to 22 GHz, including the PL, shadow fading (SF), PDP, DS, and capacity. In [20], [21], LSPs and parameter-based cluster parameters between 28 and 38 GHz were compared.…”

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Frequency Characteristics of Geometry-Based Clusters in Indoor Hall Environment at SHF Bands

et al. 2019

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“…In the second group, Li et al (2017) presented an indoor measurement campaign for massive MIMO radio channels using a high-performance frequency domain channel sounder with different virtual largescale arrays. The measurement system uses different array topologies including a 64-element linear array, a 64-element planar array, and a 128-element planar array.…”

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Special issue on 5G wireless communication systems and technologies

Zhang

2017

Frontiers Inf Technol Electronic Eng

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Recently, the explosive growth of data traffic due to ubiquitous smart devices has accelerated the current 4G systems towards further technological evolution. Indeed, we are now moving into the 5G era as we reach for 2020 and beyond. Compared with 4G mobile communications, 5G needs to meet extremely high performance requirements in more diverse scenarios. These requirements are challenging and may even be conflicting, and need the design of new network architectures, new radio access techniques, and new transmission waveforms.In recent years, both academia and industry have shown a lot of interest in the key techniques of 5G systems, such as network framework, massive multiple-input multiple-output (MIMO), full-duplex, physical layer security, device-to-device (D2D), and energy harvesting. However, there are still many technical challenges to overcome before the deployment of 5G networks. Hence, the objective of this special issue is to showcase contributions from both academia and industry to motivate discussions on advanced and innovative techniques for 5G.The papers in this special issue can be categorized into two groups. The first group consists of one review paper, and the second group eight research papers.In the first group, Ali et al. (2017) discussed the state-of-the-art research on different beamforming techniques for massive MIMO systems in 5G, and clarified the importance of beamforming techniques in massive MIMO systems for eliminating and resolving the many technical hitches that massive MIMO system implementation faces. Classifications of optimal beamforming techniques adopted in wireless communication systems were reviewed in detail to determine which techniques are more suitable for deployment in massive MIMO systems to improve the system throughput and reduce intra-and inter-cell interferences.In the second group, Li et al. (2017) presented an indoor measurement campaign for massive MIMO radio channels using a high-performance frequency domain channel sounder with different virtual largescale arrays. The measurement system uses different array topologies including a 64-element linear array, a 64-element planar array, and a 128-element planar array. investigated the full-rate space-time block code (FSTBC) transmission scheme for the amplify-and-forward relay D2D system. To improve the transmission efficiency and achieve better communication quality, two low-complexity detection methods were designed to circumvent the prohibitive complexity problem of traditional maximum likelihood detection for FSTBC transmission, namely, detection methods with the maximum likelihood combining algorithm and the joint conditional maximum likelihood detector.Yuan et al. (2017) focused on secure relay beamforming design with a correlated channel model in the relaying network. Depending on correlation Editorial:

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Channel Coverage Identification Conditions for Massive MIMO Millimeter Wave at 28 and 39 GHz Using Fine K-Nearest Neighbor Machine Learning Algorithm

Prakash

Nagarajan

Priyavarthan³

2021

Lecture Notes in Electrical Engineering

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Indoor massive multiple-input multiple-output channel characterization and performance evaluation

Cited by 17 publications

References 47 publications

Frequency Characteristics of Geometry-Based Clusters in Indoor Hall Environment at SHF Bands

Frequency Characteristics of Geometry-Based Clusters in Indoor Hall Environment at SHF Bands

Special issue on 5G wireless communication systems and technologies

Channel Coverage Identification Conditions for Massive MIMO Millimeter Wave at 28 and 39 GHz Using Fine K-Nearest Neighbor Machine Learning Algorithm

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