A Model for Analyzing the Effectiveness of Smart Mobile Communication Quality Measurement

2014 ◽  
pp. 489-495
Author(s):  
Bong-Hwa Hong ◽  
Hae-Jong Joo ◽  
Sang-Soo Kim
Keyword(s):  
Mobile Communication ◽  
Quality Measurement ◽  
Communication Quality ◽  
Smart Mobile

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

2019 ◽  
Vol 15 (6) ◽  
pp. 155014771985145 ◽  
Author(s):  
Guo Yan
Keyword(s):  
Internet Of Things ◽  
Power Consumption ◽  
Mobile Communication ◽  
Simulation Analysis ◽  
Base Station ◽  
System Capacity ◽  
The Internet ◽  
Communication Quality ◽  
5G Mobile Communication ◽  
Internet Of Things Technology

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.

A Highly Accurate Transportation Mode Recognition Using Mobile Communication Quality

2019 ◽  
Vol E102.B (4) ◽  
pp. 741-750
Author(s):  
Wataru KAWAKAMI ◽  
Kenji KANAI ◽  
Bo WEI ◽  
Jiro KATTO
Keyword(s):  
Mobile Communication ◽  
Communication Quality ◽  
Transportation Mode ◽  
Mode Recognition

scholarly journals A New Scheme for Removing Duplicate Files from Smart Mobile Devices

2019 ◽  
Vol 3 (2) ◽  
pp. 5-13
Author(s):  
Ammar Asaad ◽  
Ali Adil Yassin Alamri
Keyword(s):  
Mobile Communication ◽  
Mobile Applications ◽  
Hash Function ◽  
Smart Devices ◽  
Huffman Code ◽  
Storage Space ◽  
The Social ◽  
The World ◽  
Low Performance ◽  
Smart Mobile

The continuous development of the information technology and mobile communication world and the potentials available in the smart devices make these devices widely used in daily life. The mobile applications with the internet are distinguished simple, essay to use in any time/anywhere, communication between relatives and friends in different places in the world. The social application networks make these devices received several of the duplicate files daily which lead to many drawbacks such inefficient use of storage, low performance of CPU, RAM, and increasing consumption battery. In this paper, we present a good scheme to remove from the duplicate files, and we focus on image files as a common case in social apps. Our work overcomes on the above-mentioned issues and focuses to use hash function and Huffman code to build unique code for each image. Our experiments improve the performance from 1046770, 1995808 ns to 950000, and 1981154 ns in Galaxy and HUAWEI, respectively. In the storage side, the proposed scheme saves storage space from 1.9 GB, 1.24 GB to 2 GB, and 1.54 GB, respectively.

Robotization of Mobile Communication

2020 ◽  
pp. 652-666
Author(s):  
Sakari Taipale ◽  
Tuuli Turja ◽  
Lina van Aerschot
Keyword(s):  
Artificial Intelligence ◽  
Mobile Devices ◽  
Human Body ◽  
Mobile Communication ◽  
User Interfaces ◽  
Communication Devices ◽  
Smart Mobile ◽  
Critical Overview ◽  
Robotic Software

The aim of this chapter is to systematize the discussion regarding robotization of mobile communication. The chapter begins by clarifying the fundamental role of both robot hardware and robot software in this process. This is followed by a critical overview of existing research, which is classified into three categories. First, robotization is understood as the hybridization of the human body with existing ordinary mobile devices. Second, the incorporation of new robotic software, such as algorithms, artificial intelligence, and virtual assistants, into mobile devices is seen to robotize them from inside. Third, the convergence of smart communication devices, typically as user interfaces with robot hardware, is seen to contribute to the robotization of mobile communication. The chapter is concluded by clarification of the boundary between quasi-robot and robot and outlining the ways in which the robotization of smart mobile communication will proceed in the future.

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