Science & Technology Activities of Employees-Lecturers
Research on 5G mobile network done by IT faculty’s lecturers gets accepted
07/21/2021
On 21/7 morning, UEF’s IT faculty has organized the acceptance session at university-level for the faculty’s lecturers in order to promote the scientific research activities among lecturers and looking for scientific research topics to register for further competition.
The acceptance board includes: Dr. Nguyen Ha Giang – Head of IT faculty – Chairman, MS. Van Thi Thien Trang – Deputy Head of IT faculty – Member, MS. Nguyen Minh Tuan - Deputy Head of IT faculty – Feedback, MS. Pham Phu Thanh Sang – Director of the IT Management Center – Feedback, MA. Nguyen Pham Hai Ha – Deputy Head of the Institute for Postgraduate Education and Science & Technology – Secretary.
Acceptance board for the scientific research topic of IT faculty
The accepted research topic is “Research and apply the revolution algorithm in order to improve the transmission performance of the 5G mobile network” led by Dr. Huynh De Thu.
According to the presentation of Dr. Huynh De Thu, the reasons for choosing this topic is that the 4G wireless mobile network is being developed, improved and optimized. Howver, with increasing needs for the users’ bandwidth, speed, stability… the development of the 5G wireless network is being studied. This research will be the premise and contribute to the 5G wireless network standards.
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The research objectives are presented.
The content that the research group introduces was the theory for revolution algorithms, genetic algorithm (GA)… based on which the authors have analyzed and evaluated and compared between the algorithms; and modeling the issue of optimizing 5G network when considering many relevant factors such as bandwidth, speed, stability, especial the wasted energy.
From the research content, the authors have introduced solutions and conclusions. In which, solutions are taking advantage of the social connections of MU to improve the D2D communication efficiency, meaning that the energy efficiency reaches the highest, while achieving the high system flux and ensure the spectrum efficiency for QoS requirements.
In order to achieve it, the authors have proposed a solution for energy efficiency optimization based on social network information for D2D communication within 5G by applying the adaptive genetic algorithm.
The conclusion is the authors have developed a solution for energy efficiency optimization based on social network information for D2D communication within 5G by applying the adaptive genetic algorithm. The simulation results have proved that the proposed solution can improve the energy efficiency and systematic flow for D2D communication within the 5G, while still ensure the spectrum efficiency and transmission power constraints to meet the requirements for high service quality.
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The changes and applications of 5G network in the future
After the scientific argument, evaluation and grading based on various criteria, the Acceptance board have issued the final score of 89.4 marks on average. The research will continue to be improved to enrich the scientific material bank for UEF students as well as serving as a useful reference for future learners.
Nguyen L
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The acceptance board includes: Dr. Nguyen Ha Giang – Head of IT faculty – Chairman, MS. Van Thi Thien Trang – Deputy Head of IT faculty – Member, MS. Nguyen Minh Tuan - Deputy Head of IT faculty – Feedback, MS. Pham Phu Thanh Sang – Director of the IT Management Center – Feedback, MA. Nguyen Pham Hai Ha – Deputy Head of the Institute for Postgraduate Education and Science & Technology – Secretary.
Acceptance board for the scientific research topic of IT faculty
The accepted research topic is “Research and apply the revolution algorithm in order to improve the transmission performance of the 5G mobile network” led by Dr. Huynh De Thu.
According to the presentation of Dr. Huynh De Thu, the reasons for choosing this topic is that the 4G wireless mobile network is being developed, improved and optimized. Howver, with increasing needs for the users’ bandwidth, speed, stability… the development of the 5G wireless network is being studied. This research will be the premise and contribute to the 5G wireless network standards.
The research objectives are presented.
The content that the research group introduces was the theory for revolution algorithms, genetic algorithm (GA)… based on which the authors have analyzed and evaluated and compared between the algorithms; and modeling the issue of optimizing 5G network when considering many relevant factors such as bandwidth, speed, stability, especial the wasted energy.
From the research content, the authors have introduced solutions and conclusions. In which, solutions are taking advantage of the social connections of MU to improve the D2D communication efficiency, meaning that the energy efficiency reaches the highest, while achieving the high system flux and ensure the spectrum efficiency for QoS requirements.
In order to achieve it, the authors have proposed a solution for energy efficiency optimization based on social network information for D2D communication within 5G by applying the adaptive genetic algorithm.
The conclusion is the authors have developed a solution for energy efficiency optimization based on social network information for D2D communication within 5G by applying the adaptive genetic algorithm. The simulation results have proved that the proposed solution can improve the energy efficiency and systematic flow for D2D communication within the 5G, while still ensure the spectrum efficiency and transmission power constraints to meet the requirements for high service quality.
The changes and applications of 5G network in the future
After the scientific argument, evaluation and grading based on various criteria, the Acceptance board have issued the final score of 89.4 marks on average. The research will continue to be improved to enrich the scientific material bank for UEF students as well as serving as a useful reference for future learners.
Nguyen L
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