Base Station Energy Efficiency Improvement for Next Generation Mobile Networks

Mwashita, Weston; Odhiambo, Marcel Ohanga

doi:10.1515/eletel-2017-0025

Cited by 7 publications

(5 citation statements)

References 11 publications

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“…As depicted in Figure 2, the set of neighbour K is determined by forming a seven-cell cluster with the sleeping BS at the centre. This is similar to the work done by Mwashita and Odhiambo 21 except that all the seven cells are controlled by the BSC instead of the cell at the centre. This makes communication and coordination more effective.…”

Section: System Modelsupporting

confidence: 77%

Queueing decision model for throughput maximization in green communications networks

Gbenga-Ilori

Ladipo

Alamu

2019

International Journal of Engineering Business Management

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The various advancement in cellular technology has drawn huge attention to green communication by the stakeholders. Base station (BS) sleeping technique has been proposed as a way to reduce energy consumption in cellular networks, however, this may result in service delay for cellular users. In this article, we propose a queueing decision model for BS sleeping technique that maximizes energy-efficient utilization of the BSs in a green communication network while reducing the mean service waiting time for cellular users. The proposed model also ensures an optimal and interference-free resource sharing scheme that effectively enables channel borrowing through BS association in the network, thereby reducing call drop rate and further improving quality of service in the network. Numerical simulations are performed to observe the impact of the proposed model on spectrum access and consequently on the throughput of the green communication network. The article also observed the possible improvement in network delay with the proposed model. Results show that the queueing decision model is more energy-efficient. The model also provides a more spectrumefficient sharing scheme compared to existing models, thereby enabling better network throughput.

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Section: System Modelsupporting

confidence: 77%

Queueing decision model for throughput maximization in green communications networks

Gbenga-Ilori

Ladipo

Alamu

2019

International Journal of Engineering Business Management

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“…The expected increase in greenhouse gas emissions due to the massive increase in the volume of multimedia/healthcare contents has placed the Energy Efficiency (EE) metric at the forefront in the design of 5G mobile cellular network [17][18] [19]. Given its importance, EEgain, which is the EE of renowned packet scheduling algorithm and benchmark packet scheduling algorithm is derived as in the Equation (11).…”

Section: Simulation Methodologymentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Ramli

2020

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“…The mobile network operators face a considerable financial burden, with approximately 30% of their operational expenses (OPEX) being attributed to energy consumption [126]. Moreover, BSs predominantly rely on the electrical national power grid, which, unfortunately, is powered by methods that generate CO 2 emissions, as documented in [127]. WPT is a viable solution for overcoming these challenges.…”

Section: Energy Consumption and Low-carbon Emission Challengesmentioning

confidence: 99%

Emerging 6G/B6G Wireless Communication for the Power Infrastructure in Smart Cities: Innovations, Challenges, and Future Perspectives

Al Amin,

Hong,

Bui

et al. 2023

Algorithms

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A well-functioning smart grid is an essential part of an efficient and uninterrupted power supply for the key enablers of smart cities. To effectively manage the operations of a smart grid, there is an essential requirement for a seamless wireless communication system that provides high data rates, reliability, flexibility, massive connectivity, low latency, security, and adaptability to changing needs. A contemporary review of the utilization of emerging 6G wireless communication for the major applications of smart grids, especially in terms of massive connectivity and monitoring, secured communication for operation and resource management, and time-critical operations, are presented in this paper. This article starts with the key enablers of the smart city, along with the necessity of the smart grid for the key enablers of it. The fundamentals of the smart city, smart grid, and 6G wireless communication are also introduced in this paper. Moreover, the motivations to integrate 6G wireless communication with the smart grid system are expressed in this article as well. The relevant literature overview, along with the novelty of this paper, is depicted to bridge the gap of the current research works. We describe the novel technologies of 6G wireless communication to effectively perform the considered smart grid applications. Novel technologies of 6G wireless communication have significantly improved the key performance indicators compared to the prior generation of the wireless communication system. A significant part of this article is the contemporary survey of the considered major applications of a smart grid that is served by 6G. In addition, the anticipated challenges and interesting future research pathways are also discussed explicitly in this article. This article serves as a valuable resource for understanding the potential of 6G wireless communication in advancing smart grid applications and addressing emerging challenges.

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Base Station Energy Efficiency Improvement for Next Generation Mobile Networks

Cited by 7 publications

References 11 publications

Queueing decision model for throughput maximization in green communications networks

Queueing decision model for throughput maximization in green communications networks

International Journal of Electronics and Telecommunications

Emerging 6G/B6G Wireless Communication for the Power Infrastructure in Smart Cities: Innovations, Challenges, and Future Perspectives

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