Outage Probability Performance Analysis and Prediction for Mobile IoV Networks Based on ICS-BP Neural Network

Xu, Lingwei; Wang, Han; Gulliver, T. Aaron

doi:10.1109/jiot.2020.3023694

Cited by 52 publications

(32 citation statements)

References 36 publications

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“…[3] Hence, only by deepening Internet application and strengthening Internet governance can the Internet better serve human development. [4] The outbreak of the COVID-19 epidemic also shows how Internet technology permeates every aspect of the economy, society, and life, such as online office, online education, e-commerce, etc. It can be said that compared with the SARS outbreak in 2003, the COVID-19 epidemic prevention and control is a complete response and assistance in the Internet era.…”

Section: Introductionmentioning

confidence: 99%

How Does the Development of the Internet Affect Green Total Factor Productivity? Evidence From China

Han

Ding

et al. 2020

IEEE Access

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Green total factor productivity is not merely an inevitable choice to continuously increase the quality of China's economy, but also a booming demand to promote global development. With the fast development of the new generation information technology represented by world comprehensive web technology, Internet growth may well play a more crucial role in enhancing green total factor productivity in China. Based on 2009-2017 China's inter-provincial panel data, this article uses the threshold regression model and fixed-effect model to empirically investigate the influence intensity and internal mechanism of green total factor productivity in areas affected by the Internet development. We ultimately come to the following conclusions. First, there is a digital divide between the regions of China. Second, many factors such as Internet development, human capital, urbanization, energy efficiency, and external dependence all exert a positive influence on China's green total factor productivity. At the same time, government intervention is not conducive to green total factor productivity. Third, the influence of Internet growth on China's green total factor productivity is non-linear, based on the significant double threshold effect of human capital. As the level of human capital continues to exceed the threshold value, the effect of Internet expansion on the green total factor productivity of China has undergone a structural change. The result has changed from a weak negative influence to a positive one, and the significance is increasing. To advance the smart, green, and coordinated development among regions, it is necessary to bring "Internet +" into full play in promoting China's green total factor productivity, strengthen the deep integration of Internet development and industrial development, and improve the level of clean production utilizing network information.

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Section: Introductionmentioning

confidence: 99%

How Does the Development of the Internet Affect Green Total Factor Productivity? Evidence From China

Han

Ding

et al. 2020

IEEE Access

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“…In addition, resource scheduling of different services was studied in [ 17 ], where different models were developed to join enhanced mobile broadband (eMBB) and ultra reliable low latency communications (URLLC) resource allocation. In [ 18 ], the concern was to predict the outage probability in order to ensure efficient and stable service communications. New approaches using machine learning have also emerged, as in [ 19 ].…”

Section: Related Workmentioning

confidence: 99%

Optimization of Mixed Numerology Profiles for 5G Wireless Communication Scenarios

Correia

Al-Tam

Rodrı́guez

2021

Sensors

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The management of 5G resources is a demanding task, requiring proper planning of operating numerology indexes and spectrum allocation according to current traffic needs. In addition, any reconfigurations to adapt to the current traffic pattern should be minimized to reduce signaling overhead. In this article, the pre-planning of numerology profiles is proposed to address this problem, and a mathematical optimization model for their planning is developed. The idea is to explore requirements and impairments usually present in a given wireless communication scenario to build numerology profiles and then adopt one of the profiles according to the current users/traffic pattern. The model allows the optimization of mixed numerologies in future 5G systems under any wireless communication scenario, with specific service requirements and impairments, and under any traffic scenario. Results show that, depending on the granularity of the profiles, the proposed optimization model is able to provide satisfaction levels of 60%–100%, whereas a non-optimized approach provides 40%–65%, while minimizing the total number of numerology indexes in operation.

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“…When localization error occurs, the correct location of this terminal is mis-detected as U with the wrong positional information (x , y ). When operating the power allocation, the system uses the wrong positional information (x , y ) as for algorithm as in formula (9) and (10). For the single-user case, the position (x, y) of each user U is detected as (x , y ).…”

Section: The Power Allocation With User's Localization Errormentioning

confidence: 99%

“…With the increasing mobile terminals and IoT devices, the limitation of wireless traffic has become a serious problem. Cooperative communication and multiple-inputmultiple-output (MIMO) are two of the key 5G techniques that can meet the high throughput requirements and improve the reliability of various dynamic networks such as IoT and Internet of Vehicles (IoV) communication networks [10], [11]. MIMO technique using LCXs is one of promising techniques to improve the spectral efficiency or capacity.…”

Section: Introductionmentioning

confidence: 99%

Capacity Loss From Localization Error in MIMO Channel Using Leaky Coaxial Cable

et al. 2021

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Leaky coaxial (LCX) cable has been employed as antennas for wireless traffic over many linear-cell scenarios such as railway station, tunnels and shopping malls. In addition, LCX can be used for user localization and wireless power transfer (WPT). Compared with the equal power allocation method, the power allocation method for LCX system using positional information (PI) can improve its capacity with the same level of computational complexity. In this paper, we will investigate the level of capacity loss on the 2.4 GHz and 5 GHz band for the conventional equal power (EP) allocation method, the water-filling (WF) based power allocation, and our proposed low-complexity power allocation method for LCX system with PI. The results show that LCX system with our proposed method using PI can reduce the capacity loss due to localization error than that of others.

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Outage Probability Performance Analysis and Prediction for Mobile IoV Networks Based on ICS-BP Neural Network

Cited by 52 publications

References 36 publications

How Does the Development of the Internet Affect Green Total Factor Productivity? Evidence From China

How Does the Development of the Internet Affect Green Total Factor Productivity? Evidence From China

Optimization of Mixed Numerology Profiles for 5G Wireless Communication Scenarios

Capacity Loss From Localization Error in MIMO Channel Using Leaky Coaxial Cable

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