Resource Prediction and Allocation Method for 5G C-RAN Based on Power Internet of Things

Author(s):  
Junfeng Lv ◽  
Zifan Li ◽  
Bozhong Li ◽  
Fang Chen ◽  
Zhengyuan Liu ◽  
...  
Author(s):  
Daisuke Kokuryo ◽  
Yoshiaki Harada ◽  
Toshiya Kaihara ◽  
Nobutada Fujii

Abstract With the development of the IoT (Internet of Things), smart manufacturing system with cloud service and computing techniques has gained worldwide attention. Crowdsourced manufacturing system is a production styles that connects among different companies and factories to share the production resources. In this system, it is important to distribute resources appropriately to increase the productivity. In this proceeding, a resource allocation method based on combinatorial double auction technique is proposed. In the computational experiment, a characteristic of the proposed resource allocation method is evaluated.


2012 ◽  
Vol 195-196 ◽  
pp. 200-204
Author(s):  
Yi Li ◽  
Xiao Mei Fu ◽  
Quan Guo ◽  
Yi Lu

In order to combat multi-path fading across multiple protocol layers in the wireless networks effectively, cooperative diversity is developed with a virtual multi-antenna array, and spatial diversity can be achieved with the relaying. In this paper, we study an improved opportunistic relaying which could be applied to future Internet of Things. Simulation results shows it has better outage probability and spectral efficiency, and based on the model we propose a simplified power allocation method, which has close performance to the exhaustive search method. It has less calculation complexity and lower outage probability, which would be more applicable for future cooperative systems.


2017 ◽  
Author(s):  
Alex X. Liu ◽  
Muhammad Shahzad ◽  
Xiulong Liu ◽  
Keqiu Li

2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.


Author(s):  
Uppuluri Sirisha ◽  
G. Lakshme Eswari

This paper briefly introduces Internet of Things(IOT) as a intellectual connectivity among the physical objects or devices which are gaining massive increase in the fields like efficiency, quality of life and business growth. IOT is a global network which is interconnecting around 46 million smart meters in U.S. alone with 1.1 billion data points per day[1]. The total installation base of IOT connecting devices would increase to 75.44 billion globally by 2025 with a increase in growth in business, productivity, government efficiency, lifestyle, etc., This paper familiarizes the serious concern such as effective security and privacy to ensure exact and accurate confidentiality, integrity, authentication access control among the devices.


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