Channel estimation and throughput evaluation for 5G wireless communication systems in various scenarios on high speed railways

Zhao, Yun; Wang, Xiyu; Wang, Gongpu; He, Ruisi; Zou, Yulong; Zhao, Zhuyan

doi:10.1109/cc.2018.8357743

Cited by 16 publications

(3 citation statements)

References 5 publications

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“…The base station is divided into four functional states using the computational method. As each essential state is determined by the quantity of consumers served, there are zero weights, lightweights, normal weights, and heavy highways [30,31]. To achieve the effect of the base station's thinking area progression, the functional state of the base station modifies the transmit power of each crucial condition.…”

Section: Discussionmentioning

confidence: 99%

Mathematical Methods on Optimal Frequency Selection Model for Wireless Communication Transmission Signal under 5G Internet of Everything

2022

Wireless Communications and Mobile Computing

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Adaptive 5G communication has been accelerated thanks to the catalytic advances in the stable Internet of Things (IoT) which is a growing industry. This essay examines the impact of IoT, describes the evolution of the Internet under beneficial 5G communications, and explores 5G adaptive exchange and coordinating IoT advances. The reproduction evaluation was compatible with the evolution of telephone breathing, and developments in base station rigidity lowered base station energy consumption and club energy under the specification of ensuring communication quality, which means to further reassure compatibility. According to research, in a thick and uniform client course condition, power consumption has dwindled due to the extension of force use, but it has fundamentally improved and the correspondence quality has increased beyond what many would imagine achievable. It can ensure the client’s reasonableness and plan ability to execute, as well as fulfill the rate requirements of a variety of clients. The quick outcomes greatly test the speculative accuracy examination.

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Section: Discussionmentioning

confidence: 99%

Mathematical Methods on Optimal Frequency Selection Model for Wireless Communication Transmission Signal under 5G Internet of Everything

2022

Wireless Communications and Mobile Computing

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“…It assumes the correct knowledge of channel support with some Genie aid and can be applied directly to retrieve the channel coefficients based on this support. However, this algorithm does not work well in case of fast varying CE due to the large Doppler shift arising from high speed railways [58]. The channel noise is varied and the NMSE of all algorithms is analyzed.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Performance Analysis of Channel Estimation in 5G millimeter-Wave-MIMO Heterogeneous Systems

Chopra

Kakkar²

2021

Preprint

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Millimeter Wave (mm-Wave) - massive Multiple-Input Multiple-Output (MIMO) technology has been a subject of today’s growing interest in both industry and academia for future wireless standards and has significant potential to provide considerable gains in data rates, link reliability and Energy Efficiency (EE).Sparse recovery has great capability in Channel Estimation (CE) for mm-Wave - Massive-MIMO (Ma-MIMO) heterogeneous wireless networks and in this context; the existing better candidate “Orthogonal Matching Pursuit” (OMP) algorithm is modified for CE in such networks. This paper will provide an opportunity in setting up of such a network, and the practical observation of the effect of a change in threshold, sparsity and noise levels as well as quantity of Radio Frequency (RF) chain systems. The performance analysis of CE accuracy in terms of Normalized Mean Square Error (NMSE)verses a given Signal-to-Noise (SNR) range in dB is calculated using this modified algorithm, much better than the existing OMP methods and compared against the ideal Genie case under a wide range of noise encountered. It has been observed that in a very high noise environment, NMSE of this noise resistant algorithm is approximate (100.5 to 10-3.5) in low SNR range (-10 to 30) dB and approximate (10-1.5 to10-5.5) in high SNR range (10 to 50) dB. It comes out to be approximate (10-1 to more than 10-5) in case of combined effect involvingthe reduction of quantity of RF chain systems to half and 10 times enhancement of threshold level in a very high noise environment and low SNR range.

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“…7 Most of the multiple-input multiple-output (MIMO) antennas are connected to the base station through optical fibers, such as densely populated areas, high-density buildings, commercial streets, and so on. 8 Small cell is also a good choice. In this process, a certain number of virtual cells need to be deployed as a supplement to ensure outdoor coverage and data transmission rate.…”

Section: Introductionmentioning

confidence: 99%

Simulation analysis of key technology optimization of 5G mobile communication network based on Internet of Things technology

Guo¹

2019

International Journal of Distributed Sensor Networks

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With the rapid development of mobile Internet and Internet of Things business, the 5G mobile communication process has been accelerated. This article summarizes the Internet technology under 5G mobile communication, analyses the connotation of Internet of Things, and studies the integration of 5G mobile communications and Internet of Things technology. Through the analysis and discussion of the new possibilities in the Internet of Things era under 5G mobile communication technology, the research shows that the simulation analysis combined with the cell breathing technology and the base station dormancy technology aims to decrease the energy consumption of the base station under the premise of ensuring the communication quality, thereby improving the network energy efficiency. Research shows that in the dense and uniform user distribution scenario, the power consumption has a small decrease due to the increase of power consumption, but the system capacity is significantly improved and the communication quality is improved. It can ensure the user's fairness and system capacity to achieve, and meet the rate requirements of different users. The analog results verify the accuracy of the theoretical analysis.

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Channel estimation and throughput evaluation for 5G wireless communication systems in various scenarios on high speed railways

Cited by 16 publications

References 5 publications

Mathematical Methods on Optimal Frequency Selection Model for Wireless Communication Transmission Signal under 5G Internet of Everything

Mathematical Methods on Optimal Frequency Selection Model for Wireless Communication Transmission Signal under 5G Internet of Everything

Performance Analysis of Channel Estimation in 5G millimeter-Wave-MIMO Heterogeneous Systems

Simulation analysis of key technology optimization of 5G mobile communication network based on Internet of Things technology

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