Analysis of Cell Zooming Technique Using Adaptive Traffic Load Balancing Method on Macrocell Base Station

Karnila, Intan Gita; Mahmudah, Haniah; Puspitorini, Okkie; Wijayanti, Ari; Siswandari, Nur Adi

doi:10.1109/elecsym.2018.8615544

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…The idea of cell zooming method as a traffic load balancing is suggested in [71] to minimize entire energy consumption in the context of green cellular networks. Wang and Chein [72] proposed a traffic aware small cell management framework for 5G networks with objective function to save significant amount of green energy over the considered geographic region.…”

Section: Related Workmentioning

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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Section: Related Workmentioning

confidence: 99%

Energy Efficient Throughput Aware Traffic Load Balancing in Green Cellular Networks

et al. 2021

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Cell Zooming With Energy‐Efficient Offloading in Cellular Network: An Optimization‐Assisted Model

Prabha,

Senthil,

Suganthi

2024

Int J Communication

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With the speedy development of cellular users, conventional mobile network communications could not satisfy the requirements of rising traffic. The design of the user association approach should have the ability to balance the energy saving and traffic hotspot providence from the traffic cell sleeping system. Nevertheless, with the gradually rising denser deployment of small cells (SCs), the HetNets face novel challenges. This work aims to introduce a cell zooming (CZ) scheme that admits the EE traffic offloading. Thereby, the given model includes two phases, (i) energy efficient offloading: In this phase, appropriate traffic flow is predicted for the hybrid deep learning model that includes deep Q network (DQN) and reinforcement learning (RL). This prediction is related to the offload traffic from macrocell to small cell based on constraints like QoS and Energy, respectively. (ii) Cell zooming: After the prediction, adaptive CZ is preceded by an improved CZ factor with optimal threshold selection. For optimization, a new scaled bald eagle search optimization (SBESO) is used. The betterment of SBESO is established on throughput, SINR, and so forth.

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Analysis of Cell Zooming Technique Using Adaptive Traffic Load Balancing Method on Macrocell Base Station

Cited by 2 publications

References 7 publications

Energy Efficient Throughput Aware Traffic Load Balancing in Green Cellular Networks

Energy Efficient Throughput Aware Traffic Load Balancing in Green Cellular Networks

Cell Zooming With Energy‐Efficient Offloading in Cellular Network: An Optimization‐Assisted Model

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