An Efficient Content Delivery System for 5G CRAN Employing Realistic Human Mobility

Lau, Chun Pong; Alabbasi, Abdulrahman; Shihada, Basem

doi:10.1109/tmc.2018.2852623

Cited by 9 publications

(4 citation statements)

References 38 publications

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“…The cells without subscriber for that content do not transmit. On the other hand, the MB method attempts to minimize the number of active cells with respect to different time segments within the content delivery period according to the mobility of subscribers [32].…”

Section: Evaluation Resultsmentioning

confidence: 99%

“…In order to address the needs of content providers, we present a novel approach that takes into account human mobility patterns. The current state-of-the-art method for disseminating content based on human mobility, termed the human mobility-based content distribution (MOOD) strategy [32], which minimizes the number of transmissions by broadcasting content when the largest number of subscribers congregate. Our proposed methodology, however, distinguishes itself from MOOD by leveraging the dynamic nature of human mobility, which leads to the formation of clusters as people move about.…”

Section: Related Workmentioning

confidence: 99%

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Opportunistic Mobile Networks Content Delivery for Important but Non-Urgent Traffic

Lau,

Ma,

Susanto

et al. 2023

IEEE Access

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As delay-tolerant and large-size content, for example, software updates, TV series, and virtual reality related content, become more prevalent in mobile networks, the need for efficient content delivery mechanisms becomes increasingly important,the traffic that carries these contents is not suitable to be evaluated using traditional network performance metrics, e.g., delay, throughput, and jitter. Based on this insight, we propose the solution of content dissemination from opportunistic mobile social communications (CODOMOC)which utilizes energy cost as an alternative performance metric and exploits daily human activity mobility pattern to determine how, when, and where the contents should be disseminated. Then, we introduce two options in CODOMOC to achieve different network operators' objectives. The two options are the Only Dense (OD) option which aims at minimizing energy consumption for network operators and the Broadcast Efficiency (BE) option to further reduce the total carbon footprint of network operators. CODOMOC is evaluated by comparing with a mobility-based broadcast method. The results show that CODOMOC reduces the average energy consumption by 51% and 60% in the OD and BE options respectively. The proposed solution equipped with the two modes is expected to provide a higher degree of flexibility and reduce energy consumption for mobile networks, while, admittedly, the application scope of the solution and the associated methodologies proposed in this paper is restricted to important but non-urgent traffic delivery.INDEX TERMS Content delivery, important but non-urgent traffic, ad-hoc mobile communications, energy efficiency, human mobility.

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Section: Evaluation Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Opportunistic Mobile Networks Content Delivery for Important but Non-Urgent Traffic

Lau,

Ma,

Susanto

et al. 2023

IEEE Access

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, the conventional caching principle offers degradation in network traffic. This problem is solved in a unique study carried out by Lau et al [23] that has used content distribution based on humans' mobility patterns-the study aimed for the spatial allocation of radio resources and targets for resource efficiency. The resource provision methods always challenge balancing the war between the under and overprovisioning to handle the trade-off between an uncertain pattern of the user demand and their level of experiences as feedback.…”

Section: Related Workmentioning

confidence: 99%

Design of a Novel Architecture for Cost-Effective Cloud-based Content Delivery Network

Jayakumar¹,

Prakash²,

Akki³

2021

IJACSA

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“…Since the correlation of mobile call patterns becomes high with the co-location patterns in the coverage area of the same BS at the same time [171], it is highly important to incorporate user mobility data in the optimization of CRAN for enhancing its performance in the presence of large-scale user mobility. Furthermore, investigating suitable mobility models for different types of traffics (human, machine) and designing mobility-aware adaptive techniques [172] for the effective optimization of CRAN system parameters is an interesting future research direction.…”

Section: F Mobility Managementmentioning

confidence: 99%

A comprehensive survey on resource allocation for CRAN in 5G and beyond networks

Ejaz

Sharma

Saadat

et al. 2020

Journal of Network and Computer Applications

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The diverse service requirements coming with the advent of sophisticated applications as well as a large number of connected devices demand for revolutionary changes in the traditional distributed radio access network (RAN). To this end, Cloud-RAN (CRAN) is considered as an important paradigm to enhance the performance of the upcoming fifth generation (5G) and beyond wireless networks in terms of capacity, latency, and connectivity to a large number of devices. Out of several potential enablers, efficient resource allocation can mitigate various challenges related to user assignment, power allocation, and spectrum management in a CRAN, and is the focus of this paper. Herein, we provide a comprehensive review of resource allocation schemes in a CRAN along with a detailed optimization taxonomy on various aspects of resource allocation. More importantly, we identity and discuss the key elements for efficient resource allocation and management in CRAN, namely: user assignment, remote radio heads (RRH) selection, throughput maximization, spectrum management, network utility, and power allocation. Furthermore, we present emerging use-cases including heterogeneous CRAN, millimeter-wave CRAN, virtualized CRAN, Non-Orthogonal Multiple Access (NoMA)-based CRAN and fullduplex enabled CRAN to illustrate how their performance can be enhanced by adopting CRAN technology. We then classify and discuss objectives and constraints involved in CRAN-based 5G and beyond networks. Moreover, a detailed taxonomy of optimization methods and solution approaches with different objectives is presented and discussed. Finally, we conclude the paper with several open research issues and future directions.

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An Efficient Content Delivery System for 5G CRAN Employing Realistic Human Mobility

Cited by 9 publications

References 38 publications

Opportunistic Mobile Networks Content Delivery for Important but Non-Urgent Traffic

Opportunistic Mobile Networks Content Delivery for Important but Non-Urgent Traffic

Design of a Novel Architecture for Cost-Effective Cloud-based Content Delivery Network

A comprehensive survey on resource allocation for CRAN in 5G and beyond networks

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