A Study of Densification Management Using Energy Efficient Femto-Cloud Based 5G Mobile Network

Deb, Priti; Mukherjee, Anwesha; De, Debashis

doi:10.1007/s11277-018-5810-6

Cited by 19 publications

(4 citation statements)

References 29 publications

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“…A number of companies and entities integrate testing projects in 5G transmissions to overcome deficiency problems in mobile communications coverage [41]. Nevertheless, studies on 5G technology [39] are not yet entirely conclusive, and there are some researchers in partnerships with companies that have worked on the topic in Asia, Europe, and the USA, among them [42][43][44]; however, little exploring the layers above the network layer of the 5G architecture [31].…”

Section: G-related Workmentioning

confidence: 99%

A Multi-Provider End-to-End Dynamic Orchestration Architecture Approach for 5G and Future Communication Systems

et al. 2021

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Network segregation is the solution adopted in the IMT-2020 standardization of the International Telecommunications Union (ITU), better known as 5G networks (Fifth Generation Mobile Networks), under development to meet the requirements of performance, reliability, energy, and economic efficiency required by applications in the various verticals of current and near-future economic activities. The philosophy adopted for the IMT-2020 standardization relies on the use of Software-Defined Networking (SDN), Network Function Virtualization (NFV), and Software-Defined Radio (SDR), i.e., the softwarization of the network. Softwarization allows network segregation through its slicing, which is discussed herein this work. Network slicing is performed by a novel Orchestrator, as provided in IMT-2020, which maintains the end-to-end network slices independent of each other and performs horizontal handover when the possibility of a loss of Quality of Service (QoS) is predictively detected by monitoring quality parameters during operation. Therefore, the Orchestrator is dynamic, operates in uptime, and allows horizontal handover. Hence, it chooses the most appropriate telecommunication infrastructure provider and network operator to guarantee QoS and Quality of Experience (QoE) to end-users in each network segment. These features make this work modern and keep it aligned with the actions being carried out by ITU. Based on this objective, as the main result of this paper, we propose an effective architecture for implementing the Orchestrator, not only to contribute to the state of the art for 5G and beyond communication systems but also to generate economic, technological, and social impacts.

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Section: G-related Workmentioning

confidence: 99%

A Multi-Provider End-to-End Dynamic Orchestration Architecture Approach for 5G and Future Communication Systems

et al. 2021

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“…In order to satisfy 5G networks requirements, including higher data rate for a massive number of network entities, densification is introduced as a key feature to enhance the system capacity requirements as stated in [77,78,79,80]. By densifying the mobile networks through employing small cells, higher SINR can be achieved, which can provide a higher data rate for individual UEs and reduce the latency in the network [81]. One of the major drawbacks of small cells is limited coverage area they provide due to their low power functionalities.…”

Section: Densificationmentioning

confidence: 99%

Density-aware mobile networks: Opportunities and challenges

et al. 2020

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“…In recent time, efficient energy management techniques has become one of the key pillars while designing a large-scale cellular network. Conventional cellular system design few decades ago primarily focused on higher throughput performance, extending cell coverage and user capacity regardless energy efficiency [30], [31]. Over the last decade, the paradigm is shifted towards the emergence of energy efficient communication systems as a key performance indicator owing to the massive proliferation of energy hungry applications.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient Throughput Aware Traffic Load Balancing in Green Cellular Networks

et al. 2021

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With the augmentation of affordable multimedia wireless gadgets, the ubiquitous availability of internet access and the rapid pace of mobile traffic motivate research towards fifth generation (5G) communications to realize energy-efficient cloud radio access networks (C-RAN) with guaranteed quality of experience. Exploiting green energy harvesting for powering the C-RAN substantially alleviates the energy procurement from the utility grid, carbon footprint and operational expenses. In this paper, we propose a new dynamic point selection coordinated multipoint (DPS CoMP) based load balancing paradigm emphasizing on achievable throughput and energy efficiency by reducing utility grid consumption from a network level perspective. This paper investigate the radio efficiency, energy efficiency (EE) and average on-grid energy saving addressing the key challenges of tempo-spatial dynamics of traffic intensity and renewable energy (RE) generation under a wide range of networks setup. Endeavoring load balancing technique strives a balance in network utilities such as green energy utilization and user association based on BS coordination in a cluster. Provision of cell sleep approach is contemplated for energy saving by turning off lightly base stations (BSs) during low traffic arrivals. The proposed CoMP based load balancing algorithm proficiently manages resource block allocation to the new users and elevated the energy efficiency over the conventional location and traffic centric mechanisms. Extensive system-level simulations manifest that the suggested framework enable adjustable trade-off between radio efficiency and EE, and saves 22% on-grid power consumption and increases EE index by 32%. Afterwards, an exhaustive comparison of the proposed method with the existing schemes is pledged for further validation highlighting sustainable 5G wireless systems.INDEX TERMS Energy efficiency, coordinated multipoint, hybrid power supply, centralized RAN, load balancing, cell zooming, green communication.

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A Study of Densification Management Using Energy Efficient Femto-Cloud Based 5G Mobile Network

Cited by 19 publications

References 29 publications

A Multi-Provider End-to-End Dynamic Orchestration Architecture Approach for 5G and Future Communication Systems

A Multi-Provider End-to-End Dynamic Orchestration Architecture Approach for 5G and Future Communication Systems

Density-aware mobile networks: Opportunities and challenges

Energy Efficient Throughput Aware Traffic Load Balancing in Green Cellular Networks

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