D-RAN: A DRL-Based Demand-Driven Elastic User-Centric RAN Optimization for 6G &amp; Beyond

Kasi, Shahrukh Khan; Hashmi, Umair Sajid; Ekin, Sabit; Abu-Dayya, Adnan; Imran, Ali

doi:10.1109/tccn.2022.3217785

Cited by 6 publications

(2 citation statements)

References 31 publications

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“…Numerous studies have examined multi-stratum resource optimization in cloud-based radio over optical fiber networks [10][11][12][13][14][15], While several recent works have proposed user-centric cloud radio access network (UCRAN) architectures, these works do not consider the heterogeneity of application requirements or the mobility of users. The proposed framework leverages deep reinforcement learning to adjust the size of a user-centered virtual cell based on each application's heterogeneous requirements [16] proposed an edge heterogeneous network with the assistance of intelligent reflecting surface. The challenge of the optimization problem is rooted from the fact that update timescale of user association is different from others.…”

Section: ░ 2 Literature Surveymentioning

confidence: 99%

Efficient User Association Strategy for Maximizing User Satisfaction and Resource Utilization in Heterogeneous Cloud Radio Access Networks (H-CRANs)

Nanda,

Khatua

et al. 2024

IJEER

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The primary aim of this study is to present a User Association Strategy that can effectively optimize the Heterogeneous Cloud Radio Access Network (H CRAN). The primary objective of this strategy is to enhance customer satisfaction by optimizing the utilization of available network resources, such as transmission power and bandwidth. To achieve this objective, the proposed approach employs a logarithmic barrier function to address inequality constraints and transform the optimization problem into a formulation that facilitates effective convergence towards the optimal solution.

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Section: ░ 2 Literature Surveymentioning

confidence: 99%

Efficient User Association Strategy for Maximizing User Satisfaction and Resource Utilization in Heterogeneous Cloud Radio Access Networks (H-CRANs)

Nanda,

Khatua

et al. 2024

IJEER

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“…and solutions. The application of cutting-edge 6G technology should be demand driven and user centric (Kasi et al, 2023). Singh et al (2011) proposed the user-centric technology development in the design and construction industry across disciplines should be emphasized for designing collaboration platforms.…”

mentioning

confidence: 99%

Frameworks for Developing a 6G Communication Network to Intensify the Modern Vocational Education System

Liao

2023

International Journal of Information and Communication Technology Education

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A modern technology-supported vocational educational system significantly affects the quality of vocational training and contributes to the innovation and economic development of the regional area. The visualization literature analysis was adopted with the purpose of exploring the theoretical framework for developing a 6G-assisted network to realize the multi-party participation in the modern government-industry-education Integration system. The literature review showed the network should involve all cooperation entities into the communication system to intensify all coordination guided by the triple helix theory, should be strong enough to store all kinds of resources to support the optimized sharing, be efficient to track student training processes and learning data to provide scientific evaluation to student development in personal qualities and competencies, be supportive to develop a cooperating culture to form a healthy ecosystem in which all enterprises actively participate and invest in vocational education.

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Designing Future Wireless Networks (FWN)s With Net Zero (NZ) and Zero Touch (ZT) Perspective

et al. 2023

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D-RAN: A DRL-Based Demand-Driven Elastic User-Centric RAN Optimization for 6G & Beyond

Cited by 6 publications

References 31 publications

Efficient User Association Strategy for Maximizing User Satisfaction and Resource Utilization in Heterogeneous Cloud Radio Access Networks (H-CRANs)

Efficient User Association Strategy for Maximizing User Satisfaction and Resource Utilization in Heterogeneous Cloud Radio Access Networks (H-CRANs)

Frameworks for Developing a 6G Communication Network to Intensify the Modern Vocational Education System

Designing Future Wireless Networks (FWN)s With Net Zero (NZ) and Zero Touch (ZT) Perspective

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