Overview of channel models for underwater wireless communication networks

Underwater remote correspondence systems (UWCNs) are especially defenseless against vindictive assaults because of the high piece blunder rates, huge and variable proliferation deferrals, and low data transmission of acoustic channels. The special attributes of the Underwater acoustic correspondence channel and the contrasts between Underwater sensor systems and their ground-based partners require the improvement of productive and solid security instruments. In this class, an entire review of security for UWCNs is exhibited, and the exploration challenge for secure correspondence in this condition is sketched out.UWCNs incorporate sensors and self-ruling Underwater vehicles (AUVs) that collaborate to perform particular applications, for example, Underwater observing. Coordination and data sharing amongst sensors and AUVs make the arrangement of security testing.

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On applying stochastic network calculus for Gilbert-Elliot fading channel in underwater wireless communication networks

Journal of Information and Optimization Sciences ◽

10.1080/02522667.2017.1400745 ◽

2018 ◽

Vol 39 (7) ◽

pp. 1591-1605

Author(s):

M R Christhu Raj ◽

Rajeev Sukumaran

Keyword(s):

Wireless Communication ◽

Communication Networks ◽

Fading Channel ◽

Network Calculus ◽

Wireless Communication Networks ◽

Stochastic Network ◽

Underwater Wireless Communication ◽

Stochastic Network Calculus

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Massive MIMO Channel Models: A Survey

International Journal of Antennas and Propagation ◽

10.1155/2014/848071 ◽

2014 ◽

Vol 2014 ◽

pp. 1-10 ◽

Cited By ~ 62

Author(s):

Kan Zheng ◽

Suling Ou ◽

Xuefeng Yin

Keyword(s):

Wireless Communication ◽

Antenna Array ◽

Communication Networks ◽

Massive Mimo ◽

Communication Systems ◽

Channel Model ◽

Spectrum Efficiency ◽

Mimo Channel ◽

Wireless Communication Networks ◽

Channel Models

The exponential traffic growth of wireless communication networks gives rise to both the insufficient network capacity and excessive carbon emissions. Massive multiple-input multiple-output (MIMO) can improve the spectrum efficiency (SE) together with the energy efficiency (EE) and has been regarded as a promising technique for the next generation wireless communication networks. Channel model reflects the propagation characteristics of signals in radio environments and is very essential for evaluating the performances of wireless communication systems. The purpose of this paper is to investigate the state of the art in channel models of massive MIMO. First, the antenna array configurations are presented and classified, which directly affect the channel models and system performance. Then, measurement results are given in order to reflect the main properties of massive MIMO channels. Based on these properties, the channel models of massive MIMO are studied with different antenna array configurations, which can be used for both theoretical analysis and practical evaluation.

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