Advancements and Challenges in Energy-efficient 6G Mobile Communication Network

Slimani, Khadija; Khoulji, Samira; Kerkeb, Mohamed Larbi

doi:10.1051/e3sconf/202341201036

Cited by 18 publications

(6 citation statements)

References 24 publications

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“…Through efficient power resource management, the model minimizes power overhead attributed to the extensive number of connected devices. The proposed network assessment includes analyzing the maximum allocated power and spectral efficiency under various network operations and distinct precoding schemes [127,128].…”

Section: Power Consumptionmentioning

confidence: 99%

6G Networks and the AI Revolution—Exploring Technologies, Applications, and Emerging Challenges

Chataut,

Nankya,

Akl

2024

Sensors

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In the rapidly evolving landscape of wireless communication, each successive generation of networks has achieved significant technological leaps, profoundly transforming the way we connect and interact. From the analog simplicity of 1G to the digital prowess of 5G, the journey of mobile networks has been marked by constant innovation and escalating demands for faster, more reliable, and more efficient communication systems. As 5G becomes a global reality, laying the foundation for an interconnected world, the quest for even more advanced networks leads us to the threshold of the sixth-generation (6G) era. This paper presents a hierarchical exploration of 6G networks, poised at the forefront of the next revolution in wireless technology. This study delves into the technological advancements that underpin the need for 6G, examining its key features, benefits, and key enabling technologies. We dissect the intricacies of cutting-edge innovations like terahertz communication, ultra-massive MIMO, artificial intelligence (AI), machine learning (ML), quantum communication, and reconfigurable intelligent surfaces. Through a meticulous analysis, we evaluate the strengths, weaknesses, and state-of-the-art research in these areas, offering a wider view of the current progress and potential applications of 6G networks. Central to our discussion is the transformative role of AI in shaping the future of 6G networks. By integrating AI and ML, 6G networks are expected to offer unprecedented capabilities, from enhanced mobile broadband to groundbreaking applications in areas like smart cities and autonomous systems. This integration heralds a new era of intelligent, self-optimizing networks that promise to redefine the parameters of connectivity and digital interaction. We also address critical challenges in the deployment of 6G, from technological hurdles to regulatory concerns, providing a holistic assessment of potential barriers. By highlighting the interplay between 6G and AI technologies, this study maps out the current landscape and lights the path forward in this rapidly evolving domain. This paper aims to be a cornerstone resource, providing essential insights, addressing unresolved research questions, and stimulating further investigation into the multifaceted realm of 6G networks. By highlighting the synergy between 6G and AI technologies, we aim to illuminate the path forward in this rapidly evolving field.

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Section: Power Consumptionmentioning

confidence: 99%

6G Networks and the AI Revolution—Exploring Technologies, Applications, and Emerging Challenges

Chataut,

Nankya,

Akl

2024

Sensors

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“…Machine learning techniques have been proposed as a promising solution to the energy consumption optimization challenges. Machine learning techniques can learn from historical energy consumption data [5].…”

Section: Geometrical Modellingmentioning

confidence: 99%

Aerodynamics of a wing body with different Winglet Cant Angle

Bakhai,

Mat,

Musa

2024

E3S Web Conf.

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Current aircraft was designed with winglet at the tip. Winglets reduce the drag and improve fuel efficiency and range. The winglets have been in use for nearly 90 years, but it have been remained fixed. This paper presents the effects of winglet Cant angle on the aerodynamic characteristics of the wing. Winglet Cant Angle (WCA) is the angle between the vertical exis and the winglet. Computational Fluid Dynamics (CFD) has been used to simulate the Cant angles at constant angle of attack of 0⁰. In this paper the Cant angle was varied from 105⁰, 88⁰, 75⁰, 60⁰, 50⁰, 45⁰, 35⁰ and the simulation works were performed at three different Flight levels of Sea level, 10000 and 15000 meters. The analysis analysis at 100 m/s velocity shows that Cant angle of 45⁰ is the best performing Winglet while Cant 60⁰ is the lowest performance in overall lift to drag Ratio. Similar results were obtained when Turbulent Kinematic Viscosity were measured at 20 m behind the wing. Flow visualization also showed the similar results Cant angle 450 is the best performance compared to other angles. For the best performing winglet, the lift to drag Ratio was lowest for perpendicular crosswinds. This study shows the effect of only winglet cant angle, however other factors involved to impact the performance of winglet are, Winglet height, winglet sweep angle, Winglet Cant angle, Winglet Toe angle, and crosswinds. To implement the best overall drag coefficient winglet, the optimization must be done mid-air. While calculating the parameters, the best most optimized winglet can be chosen for cruising flight level.

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“…Table 1 shows that Among the respondents, 53 were female and 46 were male. In terms of age, 36 of the respondents were aged between 35 and 45 years old, 26.2% were between 25…”

Section: Socio-demographic Characteristicsmentioning

confidence: 99%

Environmental Health and E-Learning: Effects on Students and Teachers

Bentaleb,

Boudine,

Ameur

et al. 2024

E3S Web Conf.

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The optimal environment is a major factor that guarantees the integration of digital technologies in the field of education it has many benefits, such as access to varied and interactive educational content, as well as the ability to personalize educational resources based on individual student needs. However, uncontrolled immersion in these teaching methods can lead to psychological problems for both learners and teachers. It, therefore, becomes essential to adjust digital learning supports to create healthy environments, not only psychologically, but also environmentally. It is imperative to design e-learning platforms that respect the environment. thus, minimizing their ecological footprint. The study proposes to measure the constraints and obstacles linked to environmental health that prevent teachers from practicing digital teaching to improve the quality of teaching/learning through an online questionnaire survey completed by teachers in the city by Sidi Slimane. The results were analyzed using the Statistical Package for Social Sciences (SPSS).

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Advancements and Challenges in Energy-efficient 6G Mobile Communication Network

Cited by 18 publications

References 24 publications

6G Networks and the AI Revolution—Exploring Technologies, Applications, and Emerging Challenges

6G Networks and the AI Revolution—Exploring Technologies, Applications, and Emerging Challenges

Aerodynamics of a wing body with different Winglet Cant Angle

Environmental Health and E-Learning: Effects on Students and Teachers

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