Mediatization of the Media as Industrial Transformation

The article implements the idea of mediatization as a process of transformation of the mass communication industry. Nowadays, the current system of mass communication is under the pressure of digital transit, which is transgressive in nature and breaks traditional business patterns, requires business administration to make mental changes in thinking and management practices, and creates the highest level of tension among media managers. The article attempts to conceptualize (through the analysis of industrial points of tension: between television and online video - players of the cross-media dimension) some aspects of the digital transformation of the media industry and industrial management practices. Behind this transformation is the conflict between the digital environment generated by the relatively free development of the Internet and the purposefully organized and institutionalized state-controlled media.

Security Regulation and Enterprise Innovation in Communication Industry

This paper conducted an evolutionary game model of the interaction between the governments and communication enterprises and analyzed the impact of the government’s communication security regulation on the innovation decision-making of communication enterprises. The results show that the behavior of the governments depends on the social benefits, rent-seeking benefits, and regulating costs in strict and de security regulations. The communication enterprises’ behavior depends on the benefits of innovation and the costs in R&D and rent-seeking. When government subsidies are relatively inadequate, the communication enterprises’ strategy under government security regulation swings from not-innovation finally to innovation. The policy implications of this study indicate that appropriate de security regulation by the government will help communication enterprises generate a good atmosphere for innovation, and the appropriate increase in subsidies will be more conducive to driving enterprise innovation.

Artificial Intelligence Technology in Optical Fiber Communication Engineering

Optical fiber communication engineering as a kind of “wired” optical communication mode which uses light wave as carrier and optical fiber as transmission medium to transmit information from one place to another, especially optical fiber has a special position in the communication industry due to its unique advantages of wide transmission frequency band, high anti-interference and small signal attenuation. It has important practical value for the deep research of the area setting and protection of optical fiber and cable in the optical fiber communication engineering. However, at present, there is no complete management system in the aspects of hardware processing, fiber optic cable protection and the guarantee of the introduction of related talents, so it is urgent to innovate and develop the existing path. Based on this, this paper first analyzes the problems of optical fiber guarantee in the intelligent technology system construction of optical fiber technology in the field of communication engineering, and then puts forward the construction strategy of intelligent protection and breakthrough technology in optical fiber communication technology system.

Brief Analysis of Security Protection Practice of Key Information Infrastructure in Communication Industry

To solve the problem how to effectively identify critical information infrastructure challenges that the communications industry, improve pertinence and effectiveness of the security and protection work, this paper reports the legislative background of critical information infrastructure protection at home and abroad and the status quo, on the communications industry key information infrastructure security framework are discussed in this paper, by adopting the method of analytic hierarchy process (AHP), by calculating the key, Through the calculation of the critical degree, the paper proposes how to accurately identify the critical information infrastructure in the communication industry. This research is the latest practical exploration of the security protection work method of the critical information infrastructure in the communication industry, and is the urgent need of the current communication network security situation in China. It is hoped to take the implementation of the Regulations on the Security protection of Critical Information Infrastructure as an opportunity to publicize and promote the research method, continuously strengthen the security protection of critical information infrastructure, realize the high-quality development of the communication industry, and better empower the economic and social development.

Exploring the Formation Mechanism of Radical Technological Innovation

This paper identifies three stages in the radical technological innovation process, namely formation process in niches, breaking out of niches and entering regimes, and new regime formation. It then adopts Multi-level Perspective (MLP) to explore the formation process, operating mechanism, breakthrough path, and impact factors of radical technological innovation. A three-phase model, which includes formation of radical innovation, breakout of radical innovation, and new regimes construction, is proposed to analyze radical technological innovation. The model is adopted in a case study to analyze the leapfrogging development of technologies in China’s mobile communication industry. This paper enriches technological innovation theory and provides supports for policy making and guidance for industries/enterprises practices regarding technological innovation in emerging economies.

Research on Underhole Field CMS Based on AI Communication

With the rapid development of computer technology, AI technology is applied to various industries, especially the communication industry. Through AI, communication can automatically identify and screen useful information, which will provide more accurate information decision-making for the system. Oil exploitation is a very dangerous work, which requires real-time monitoring of the working state of the system such as wind, water, gas and so on. Through the comprehensive detection of all kinds of information, mining enterprises can ensure the safety of the oil field, which can also ensure the safety of production. Although China’s oil exploration enterprises have many monitoring systems, which can detect a variety of information data. However, there are still many problems in these monitoring systems, such as isolation of each other, inflexibility of sensors, narrow range of data acquisition and so on. At the same time, due to the lack of comprehensive communication platform, the linkage of various production links in the oil well is poor. Therefore, we urgently need a comprehensive monitoring system, which can control the underground field information. Therefore, based on AI communication technology, this paper develops a comprehensive monitoring system.

Exploring the Formation Mechanism of Radical Technological Innovation

This paper identifies three stages in the radical technological innovation process, namely formation process in niches, breaking out of niches and entering regimes, and new regime formation. It then adopts Multi-level Perspective (MLP) to explore the formation process, operating mechanism, breakthrough path, and impact factors of radical technological innovation. A three-phase model, which includes formation of radical innovation, breakout of radical innovation, and new regimes construction, is proposed to analyze radical technological innovation. The model is adopted in a case study to analyze the leapfrogging development of technologies in China’s mobile communication industry. This paper enriches technological innovation theory and provides supports for policy making and guidance for industries/enterprises practices regarding technological innovation in emerging economies.

Power Control for Cognitive Radio Networks: A Game Theoretic Approach

In communication industry one of the most rapidly growing area is wireless technology and its applications. The efficient access to radio spectrum is a requirement to make this communication feasible for the users that are running multimedia applications and establishing real-time connections on an already overcrowded spectrum. In recent times cognitive radios (CR) are becoming the prime candidates for improved utilization of available spectrum. The unlicensed secondary users share the spectrum with primary licensed user in such manners that the interference at the primary user does not increase from a predefined threshold. In this paper, we propose an algorithm to address the power control problem for CR networks. The proposed solution models the wireless system with a non-cooperative game, in which each player maximize its utility in a competitive environment. The simulation results shows that the proposed algorithm improves the performance of the network in terms of high SINR and low power consumption.

PERFORMANCE OF QAM-OFDM SYSTEM OVER RAYLEIGH FADING CHANNEL IN WEI BULL NOISE DISTRIBUTION

The phenomenal increase in the usage of mobile devices and wireless networking tools in recent years has resulted in the communication industry needing higher data speeds for connections and bandwidth. As a result, multi-carrier modulation has been suggested as a reliable and effective method of transmitting data over difficult communication networks such as selective fading channels. Orthogonal Frequency Division Multiplexing (OFDM) is a highly effective multi-carrier technique that can meet users' high demands. Many studies have looked into this technique, mostly as a way to counteract fading and Additive White Gaussian Noise (AWGN). As a result, the performance evaluation of the QAM-OFDM system in the presence of multi-path Rayleigh fading in Weibull noise is examined in this article. Furthermore, bit error rate performance (BER) is computed using the optimal derivation of the real system contaminated by compound Gaussian and non-Gaussian (Weibull) noise distributions at the OFDM demodulator output. The derived result is an exact match to the simulated result over various scenarios introduced by the MATLAB software package.