Wireless Communication & AI: An In-Depth Research Project Report

This report delves into the applications of Artificial Intelligence (AI) within wireless communication technologies, highlighting its increasing importance in today's competitive environment. It examines the real-world applications of AI across various industries, including education, gaming, banking, and hospitality, emphasizing the benefits such as reduced time and cost consumption, and more accurate decision-making. However, the report also addresses the drawbacks of AI, including a lack of creativity, potential job losses, and security concerns like data breaches and the difficulty in distinguishing between fake and original data. The research reflects on the critical role AI plays in modern wireless communication, concluding that its effective implementation is essential for companies to remain competitive and avoid obsolescence, with a call to explore Desklib for further solved assignments.

Innovative Wireless Research
Project

TABLE OF THE CONTENT
 Introduction
 Explaining real life application of AI
 Outlining benefits and drawbacks of AI
 Security issues relating to AI
 Conclusion
 References

INTRODUCTION
 The AI or Artificial Intelligence is being defined as a
technology which is being designed in order to make the
computer system work as independently and intelligently
just like a human being.
 This is very essential to be implemented within the
businesses as it will make the working better and effective
and will be assisting the companies to ensure effective
working of data.

EXPLAINING THE REAL LIFE
APPLICATION OF AI
 In the current competitive environment, the AI need to be used in proper manner so that
the working capability of the companies increase in better and effective manner.
 Hence, because of the popularity the AI is applicable within all the different types of the
industries and types of company operating in external environment.
 This includes the different industries like education, gaming, banking, hospitality and
many other different types of the industries.

OUTLINING BENEFIT AND
DRAWBACK OF AI
With the help of analysis of AI, it is clear that
within this highly competitive environment there
is high need of using the technology. there are
different types of the benefits and drawbacks
relating to the use of AI.
Less time consuming
Less cost consumption
Accurate decision
making
Benefits

CONTINUED…
 Drawbacks of AI
Effective ability to identify is not viewed
Lacks creativity
Loss of job

SECURITY ISSUES RELATING TO AI
Further with the analysis of the study and
discussion it was clear that there are different
types of the security issue being faced while
using AI as the wireless communication
technology.
The reason underlying this fact is that any
technology involves the issues being faced while
its use and application.
Data breaching
Distinction between fake
and original data
No ethics and morality
Unemployment

REFLECTION
The discussion of the report highlighted that AI has a major role within the working of
wireless communication technology.
This is pertaining to the fact that AI is the latest technology and this need to be used
effectively.
With the help of the report it was clear that I was able to research in better and
effective manner.
This analysis assisted me in increasing and improving my researching skills and
improved my knowledge relating to AI as well.

CONCLUSION
In the end the presentation concluded that AI is very important to be used within the
companies.
This is because of the reason that it is the latest technology and when company will not
be using it then the working and operation of company will become obsolete.
The presentation further evaluated that the crucial role is played by AI in wireless
communication.

REFERENCES
 Jha, K., Doshi, A., Patel, P., & Shah, M. (2019). A comprehensive review on automation in agriculture using
artificial intelligence. Artificial Intelligence in Agriculture. 2. 1-12.
 Jin, X., Liu, C., Xu, T., Su, L., & Zhang, X. (2020). Artificial intelligence biosensors: Challenges and
prospects. Biosensors and Bioelectronics. 165. 112412.
 Kibria, M. G., Nguyen, K., Villardi, G. P., Zhao, O., Ishizu, K., & Kojima, F. (2018). Big data analytics, machine
learning, and artificial intelligence in next-generation wireless networks. IEEE access. 6. 32328-32338.
 Morocho-Cayamcela, M. E., Lee, H., & Lim, W. (2019). Machine learning for 5G/B5G mobile and wireless
communications: Potential, limitations, and future directions. IEEE access. 7. 137184-137206.