Optimal Energy Saving Through Joint Deployment of Relay Station and Sleep Mode Activation in 4G LTE-A Network

Ratheesh, R.; Pandu, Vetrivelan

doi:10.1007/978-981-10-8663-2_1

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…The total of variable costs changes proportionally to the volume of the output product or to the scope of services rendered. This group includes the following: transportation costs, expenses on maintenance and repair of production equipment, fuel and lubricants, power consumed in production processes (Ratheesh, Vetrivelan, 2019).…”

Section: Main Partmentioning

confidence: 99%

Study on the Efficiency in Setting Up a Mobile Vehicle Inspection Station

Repin

Golovko

Evtyukov

2018

AEJ

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The paper analyzes the commercial feasibility of setting up mobile stations to provide people living in hard-to-reach areas with a service of state technical inspection (STI). An analysis of the application efficiency is carried out under conditions of significant territorial dispersion of sites to check the vehicle technical status in the Komi Republic. The rationale behind the efficiency can be expressed through a rate-of-return chart and results of the feasibility study on the operation of a mobile state technical inspection station, carried out in the Mathcad environment. Recommendations are given to reduce the costs and increase the profit from carrying out STI under specific competitive market conditions.

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Section: Main Partmentioning

confidence: 99%

Study on the Efficiency in Setting Up a Mobile Vehicle Inspection Station

Repin

Golovko

Evtyukov

2018

AEJ

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“…Furthermore, small cells are deployed in dense urban areas to create extra cells, which help to ensure the devices connected to them have an almost uninterruptible connection 16 . The use of BS–RS has an impact on the energy efficiency of the network 17–19 . Therefore, the optimal location is selected for modeling an efficient mobile network.…”

Section: Introductionmentioning

confidence: 99%

“…16 The use of BS-RS has an impact on the energy efficiency of the network. [17][18][19] Therefore, the optimal location is selected for modeling an efficient mobile network.…”

mentioning

confidence: 99%

Throughput and coverage based Base Station–Relay Station deployment for 5G cellular network

Ratheesh,

Nair,

Vetrivelan

et al. 2024

Concurrency and Computation

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SummaryFifth generation cellular networks have high data rates and connectivity demands. The relaying approaches are widely used in cellular networks to improve coverage, user throughput, and capacity at low cost. The increasing data requirements of the mobile network increase energy consumption. Energy efficiency‐based approaches also impact network coverage and throughput. Therefore, developing an energy‐efficient network with optimal coverage and throughput is considered a challenging issue. It can be resolved with optimal deployment of Base Station (BS), Relay Station (RS), and minimizing power consumption. In this research, a joint clustering‐based deployment technique is proposed for BS–RS deployment by considering the network throughput and coverage ratio. After enabling optimal BS–RS deployment, the network traffic is estimated with an On‐demand real‐time traffic estimation framework (ODTE). It estimates user association values using Beacon frames. In addition, the Relay Assisted Base station Power Scheduling (RABPS) approach to minimize power consumption is included. Based on Erlang's probability, the RABPS algorithm is enhanced with sleep mode activation during off‐peak hours. The proposed 5G network ensures uninterrupted connectivity and energy efficiency with varying time slots of power scheduling. The throughput performance of the clustering‐based approach is increased with a coverage ratio of 88%. The simulation results show the superiority of the proposed 5G BS–RS deployment and power scheduling in terms of throughput, coverage ratio, and power consumption.

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