A Review of Mutual Coupling in MIMO Systems

Chen, Xiaoming; Zhang, Shuai; Li, Qinlong

doi:10.1109/access.2018.2830653

Cited by 331 publications

(195 citation statements)

References 82 publications

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“…The viaduct scenario, which covers almost 70% of the Beijing-Shanghai HSR line in China (Hong et al, 2011), is an important scenario in HSR environment. Many existing works have focused on this scenario (Chen et al, 2018;Fan et al, 2015;He et al, 2011aHe et al, , 2012aHe, Zhong, Ai, Wang, et al, 2013;Hong et al, 2011;Liu et al, 2014;Liu, Tao, Qiu, Zhou, et al, 2012;Wei et al, 2010;Zhao et al, 2014). He et al (2011a) and Wei et al (2010) have discussed the path loss model in viaduct scenario; focus on the position-based channel modeling in viaduct scenario at 2.35 GHz; He et al (2012a) has investigated the model of Ricean K factor in viaduct scenario; some other papers (He, Zhong, Ai, Wang, et al, 2013;Hong et al, 2011;Liu et al, 2014;Liu, Tao, Qiu, Zhou, et al, 2012;Zhao et al, 2014) about viaduct scenario in HSR environment have discussed the scattering characteristics, multipath components, and Markov chain modeling in viaduct scenario.…”

Section: Related Workmentioning

confidence: 99%

Measurement and Modeling of LTE‐Railway Channels in High‐Speed Railway Environment

Wen

et al. 2020

Radio Science

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High-speed railway (HSR) is becoming one of the most effective and important transportation modes. To ensure the safety of HSR, a stable communication system is necessary. The understanding of propagation characteristics of radio channel is important for HSR communication system design. In this paper, a wideband measurement in suburban HSR scenarios at 460 MHz is presented. Some typical channel parameters such as the large-scale fading, Ricean K factor, power-delay profile, and root-mean-square delay spread are extracted from the measurement data. The different distributions of small-scale fading are also compared. The relationships between the channel parameters and the distance of transmitter (base station) and receiver are also explored. The results could provide a reference for the design and evaluation of HSR communication network, especially for the Long-Term-Evolution (LTE)-railway system.

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Section: Related Workmentioning

confidence: 99%

Measurement and Modeling of LTE‐Railway Channels in High‐Speed Railway Environment

Wen

et al. 2020

Radio Science

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“…As a deterministic modeling method, RT simulations can provide full information of multipath effects in multiple domains and build accurate site‐specific channel models. It has been successfully used for different applications (Cai et al, , ; Chen et al, ; Fan et al, , ; Guan et al, ; Zhou et al, ). The RT simulator employed in this study, CloudRT, is jointly developed by Beijing Jiaotong University and Technische Universität Braunschweig.…”

Section: Railway Environment Reconstruction and Simulation Setupmentioning

confidence: 99%

Satellite‐Terrestrial Channel Characterization in High‐Speed Railway Environment at 22.6 GHz

Guan

Yan

et al. 2020

Radio Science

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The integration of satellite and terrestrial communication systems plays a vital role in the fifth‐generation mobile communication system (5G) for the ubiquitous coverage, reliable service, and flexible networking. Moreover, the millimeter wave (mmWave) communication with large bandwidth is a key enabler for 5G intelligent rail transportation. In this paper, the satellite‐terrestrial channel at 22.6 GHz is characterized for a typical high‐speed railway (HSR) environment. The three‐dimensional model of the railway scenario is reconstructed and imported into the Cloud Ray‐Tracing (CloudRT) simulation platform. Based on extensive ray‐tracing simulations, the channel for the terrestrial HSR system and the satellite‐terrestrial system with two weather conditions are characterized, and the interference between them are evaluated. The results of this paper can help for the design and evaluation for the satellite‐terrestrial communication system enabling future intelligent rail transportation.

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“…In addition, limited spacing between antenna elements in an array is also responsible for the mutual coupling, which can degrade signal transmission and reception due to antenna impedance mismatch [7]. The effects of antenna correlation and mutual coupling on traditional MIMO systems have been well-studied in [8][9][10][11][12][13][14], where the antenna arrays are commonly restrained less than 8×8 elements. Specifically, the authors in [8] applied random matrix theory to obtain analytical characterizations of the capacity of correlated multiantenna channels.…”

Section: Introductionmentioning

confidence: 99%

Sum Rate of Multiuser Large-Scale MIMO in the Presence of Antenna Correlation and Mutual Coupling

Liang

et al. 2019

Wireless Communications and Mobile Computing

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A multiuser large-scale MIMO system with antenna correlation and mutual coupling is investigated in this paper. Based on the maximum signal-to-interference-plus-noise ratio (SINR) criteria, the optimal beamforming (BF) vector at the base station (BS) for each user is first obtained using statistical channel state information (CSI). Then, a closed-form expression for the achievable sum rate is derived in terms of a finite number of generalized Meijer-G functions, which is applicable to an arbitrary number of array elements and/or users, and provides an efficient means of evaluating the system performance. Finally, numerical results are provided to confirm the validity of the theoretical analysis and show the impact of various channel parameters on the system performance.

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A Review of Mutual Coupling in MIMO Systems

Cited by 331 publications

References 82 publications

Measurement and Modeling of LTE‐Railway Channels in High‐Speed Railway Environment

Measurement and Modeling of LTE‐Railway Channels in High‐Speed Railway Environment

Satellite‐Terrestrial Channel Characterization in High‐Speed Railway Environment at 22.6 GHz

Sum Rate of Multiuser Large-Scale MIMO in the Presence of Antenna Correlation and Mutual Coupling

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