A Non-Stationary 3-D Wideband Twin-Cluster Model for 5G Massive MIMO Channels

Wu, Shaoen; Wang, Cheng-Xiang; Aggoune, El‐Hadi M.; Alwakeel, Mohammed M.; He, Yejun

doi:10.1109/jsac.2014.2328131

Cited by 207 publications

(114 citation statements)

References 36 publications

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“…In particular, the Rayleigh distance as investigated in [23], should be considered in the extremely ultra-dense networks because the BS-to-UE distance becomes very small as the network densifies.…”

Section: F Future Work Of Ultra-dense Scnsmentioning

confidence: 99%

Performance Impact of Idle Mode Capability on Dense Small Cell Networks

Ding

Liu

Mao

et al. 2017

IEEE Trans. Veh. Technol.

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Abstract-Very recent studies showed that in a fully loaded dense small cell network (SCN), the coverage probability performance will continuously decrease with the network densification. Such new results were captured in IEEE ComSoc Technology News with an alarming title of "Will Densification Be the Death of 5G?". In this paper, we revisit this issue from more practical views of realistic network deployment, such as a finite number of active base stations (BSs) and user equipments (UEs), a decreasing BS transmission power with the network densification, and so on. Particularly, in dense SCNs, due to an oversupply of BSs with respect to UEs, a large number of BSs can be put into idle modes without signal transmission, if there is no active UE within their coverage areas. Setting those BSs into idle modes mitigates unnecessary inter-cell interference and reduces energy consumption. In this paper, we investigate the performance impact of such BS idle mode capability (IMC) on dense SCNs. Different from existing work, we consider a realistic path loss model incorporating both line-of-sight (LoS) and non-line-of-sight (NLoS) transmissions. Moreover, we obtain analytical results for the coverage probability, the area spectral efficiency (ASE) and the energy efficiency (EE) performance for SCNs with the BS IMC and show that the performance impact of the IMC on dense SCNs is significant. As the BS density surpasses the UE density in dense SCNs, the coverage probability will continuously increase toward one, addressing previous concerns on "the death of 5G". Finally, the performance improvement in terms of the EE performance is also investigated for dense SCNs using practical energy models developed in the Green-Touch project. 1Index Terms-Stochastic geometry, line-of-sight (LoS), nonline-of-sight (NLoS), dense small cell networks (SCNs), coverage probability, area spectral efficiency, energy efficiency.

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Section: F Future Work Of Ultra-dense Scnsmentioning

confidence: 99%

Performance Impact of Idle Mode Capability on Dense Small Cell Networks

Ding

Liu

Mao

et al. 2017

IEEE Trans. Veh. Technol.

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“…In practical V2V environments, scatterers are intensively distributed in terms of clusters along the roadside since subpaths have similar angle of departure (AoD), angle of arrival (AoA), and latency in a cluster [18][19][20][21]. For 3D V2V channel modeling, the conventional 2D models only consider the propagation path in the horizontal plane, which cannot be directly taken into account owing to the elevation angle in 3D space.…”

Section: Introductionmentioning

confidence: 99%

Statistical Characterization of Novel 3D Cluster-Based MIMO Vehicle-to-Vehicle Models for Urban Street Scattering Environments

Chen

Fang

Sun

et al. 2018

International Journal of Antennas and Propagation

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We develop a novel three-dimensional (3D) cluster-based channel model for vehicle-to-vehicle (V2V) communications under the scenarios of urban street scattering environments. The proposed model combines the flexibility of geometrical channel models with the existing state-of-the-art 3D V2V models. To provide an accurate representation of specific locations and realistic V2V fading environments in a computationally manageable fashion, all clusters are divided into three groups of use cases including "ahead," "between," and "behind" clusters according to the relative locations of clusters. Using the proposed V2V model, we first derive the closed-form expressions of the channel impulse response (CIR), including the line-of-sight (LoS) components and cluster components. Subsequently, for three categories of clusters, the corresponding statistical properties of the reference model are studied. We additionally derive the expressions of the 3D space-time correlation function (STCF), the autocorrelation function (ACF), and 2D STCF. Finally, comparisons with on-road measurement data and numerical experiments demonstrate the validity and effectiveness of the proposed 3D cluster-based V2V model.

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“…5G massive MIMO channel model is different from the conventional channel model [7]. Firstly, the non-stationary property is found in the multi-antenna array [8], which means different antenna element can see different scatters, and the closer the two antennas sit, the more common scatters they share. Secondly, it's more practical to establish 5G channel models in a threedimension (3D) space [9].…”

Section: Introductionmentioning

confidence: 99%

“…The indoor channel model in [13] describes a scene where the two spheres surrounding the antennas at the transmitter and receiver respectively are different in height. In [8], a theoretical non-stationary 3D twin-cluster channel model for massive MIMO communication systems is proposed. It uses a birthdeath process to model non-stationary properties of clusters, such as clusters appear and disappear on both the array and time axes.…”

Section: Introductionmentioning

confidence: 99%

“…It uses a birthdeath process to model non-stationary properties of clusters, such as clusters appear and disappear on both the array and time axes. The channel model in [8] is valuable and effective. But many parameters in the model are difficult to match with values from actual measurements, and the geometric meanings of the model are not clear, which affects its applicabilities in 5G.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A 3D Geometry-based Stochastic Model for 5G Massive MIMO Channels

Xie¹,

Li²,

Zuo³

et al. 2015

Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustn

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Abstract-Massive MIMO is one of the most promising technologies for the fifth generation (5G) mobile communication systems. In order to better assess the system performance, it is essential to build a corresponding channel model accurately. In this paper, a three-dimension (3D) two-cylinder regular-shaped geometry-based stochastic model (GBSM) for non-isotropic scattering massive MIMO channels is proposed. Based on geometric method, all the scatters are distributed on the surface of a cylinder as equivalent scatters. Non-stationary property is that one antenna has its own visible area of scatters by using a virtual sphere. The proposed channel model is evaluated by comparing with the 3GPP 3D channel model [1]. The statistical properties are investigated. Simulation results show that close agreements are achieved between the characteristics of the proposed channel model and those of the 3GPP channel model, which justify the correctness of the proposed model. The model has advantages such as good applicability.

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A Non-Stationary 3-D Wideband Twin-Cluster Model for 5G Massive MIMO Channels

Cited by 207 publications

References 36 publications

Performance Impact of Idle Mode Capability on Dense Small Cell Networks

Performance Impact of Idle Mode Capability on Dense Small Cell Networks

Statistical Characterization of Novel 3D Cluster-Based MIMO Vehicle-to-Vehicle Models for Urban Street Scattering Environments

A 3D Geometry-based Stochastic Model for 5G Massive MIMO Channels

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