A geometrical-based 3D model for fixed MIMO BS-RS channels

Chen, Wei; Zhang, Jianhua; Liu, Zhenzi; Bi, Yuming

doi:10.1109/pimrc.2015.7343351

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…The radio propagation environment around the transmitter and the receiver is characterized by 3D nonisotropic scattering under line-of-sight (LoS) and none line-of-sight (NLoS) conditions. Figure 1 illustrates the novel 3D geometrical channel model, in which the local scatterers are modeled on the surface of two spheres of radii and [16]. In order to limit the computational complexity of this model, both local scatterers around the Tx and Rx are considered.…”

Section: A Novel 3d Channel Modelmentioning

confidence: 99%

A Novel 3D Nonstationary Channel Model Based on the von Mises-Fisher Scattering Distribution

Zhang

Zeng

et al. 2016

Mobile Information Systems

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In the last decade, the nonstationary properties of channel models have attracted more and more attention for many scenarios, that is, vehicle-to-vehicle (V2V), mobile-to-mobile (M2M), and high-speed train (HST). However, little research has been done on the real-physical channel model. In this paper, we propose a generalized three-dimensional (3D) nonstationary channel model, in which the scatterers are assumed to be distributed around the transmitter (Tx) and receiver (Rx) on a two-sphere model. By employing the von Mises-Fisher distribution, the mean values of the azimuth angle of departure (AAoD) and elevation angle of departure (EAoD) and the azimuth angle of arrival (AAoA) and elevation angle of arrival (EAoA) are tracked by time-variant (TV) Brownian Markov (BM) motion paths, which ensure the nonstationarity of the proposed channel model. Moreover, the TV autocorrelation function (ACF) and Doppler power spectrum density (DPSD) of the proposed nonstationary channel model are calculated by using signal processing tools, for example, fast Fourier transform (FFT) and short-time Fourier transform (STFT). In addition, the simulation results show that the TV scatterer distribution results in a nonstationary nonisotropic channel model, and the proposed model can be employed to simulate the 3D nonstationary channel model.

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Section: A Novel 3d Channel Modelmentioning

confidence: 99%

A Novel 3D Nonstationary Channel Model Based on the von Mises-Fisher Scattering Distribution

Zhang

Zeng

et al. 2016

Mobile Information Systems

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“…However, they do not investigate the power and angle allocation among the transmitter, relay, and receiver antennas, which is an effective technique to maximize the capacity and mitigate interference in the MIMO communication. Chen et al 23 proposed a new theoretical 3D geometrical scattering reference model for MIMO base station to relay station (BS2RS) backhaul channels. A 3D geometry-based stochastic scattering model (GBSSM) for wideband MIMO vehicle-to-vehicle (V2V) relay-based cooperative fading channel is proposed.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary game-based cooperative strategy for effective capacity of multiple-input-multiple-output communications

Liu¹,

Yu²,

Li³

et al. 2017

International Journal of Distributed Sensor Networks

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Cooperative-relaying networks have great potential for deployment in next-generation wireless communication networks. However, a cooperative-relaying network using two-dimensional multiple-input-multiple-output technology can further enhance the network performance. In this article, we propose a game theoretical framework for mobile twodimensional multiple-input-multiple-output communication networks to achieve optimal relay selection and cooperative control. A source node, relay, and destination node can make service-selection decisions dynamically in a two-level network, based on the mobile-channel satisfaction parameters (e.g. spatial-temporal correlation and relay survivability). To model this dynamic interactive decision problem, we propose a hierarchical dynamic game framework. At the outer level, we formulate an evolutionary game to model and analyze the process of adaptive selection of relays for maximizing the multiple-input-multiple-output capacity by relay selection and power allocation. At the inner level, by aligning relays, we formulate an evolutionary game to model a self-organizing network structure for relays, to increase the capacity. A closed-loop evolutionary game equilibrium is considered to solve the dynamic game. Numerical results show that the proposed algorithm can effectively improve the quality of service for mobile two-dimensional multiple-input-multipleoutput communication networks.

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