Binary-PSO-based energy-efficient small cell deployment in 5G ultra-dense network

Venkateswararao, Kuna; Swain, Pravati

doi:10.1007/s11227-021-03910-5

Cited by 12 publications

(19 citation statements)

References 27 publications

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“…Various techniques for power efficient community layout for wireless mobile network operations have been presented in the literature. In [3] grouped EE approaches into five categories, the majority of which coincide with those defined in [4] and [6]. These techniques are categorized into the five groups stated below.…”

Section: Udn Energy Efficiency Techniquesmentioning

confidence: 99%

“…Once the coverage area has been determined, The BSs required for providing a specific degree of QoS may be approximated based upon the area of coverage [3]. In comparison to the planning and estimate procedure in homogeneous networks, SBS implementation is not planned in compact HetNet [4].…”

Section: Network Design and Implementationmentioning

confidence: 99%

“…An efficient way for suppressing intervention is Beamforming [11]. Because intervention in WN degrades the EE of a network [4] beamforming approach is a promising way for enhancing the EE. The beamforming process is heavily influenced by the type of RF precoding units used.…”

Section: Radio Transmission Process Optimizationmentioning

confidence: 99%

“…However, Despite of MBS's greater transmission power, if the procedure has been chaotic user equipment may choose to associate with MBS. Further efforts in this approach have studied issues regarding arbitrary selection upon BSs to UEs [4], creating awareness towards traffic [14], output delay [4], and allotment of resources to improve on existing methods.…”

Section: Sleeping Strategy For Base Stationsmentioning

confidence: 99%

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Evaluation of the effect of 5G Hardware Impairments on achieving high Energy Efficiency

Vaishnavi

Sharma

2022

J. Phys.: Conf. Ser.

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The most demanding constraints for next-generation wireless communication systems (5G) are meeting ever-increasing requirement for high data rates while providing a seamless quality of service across the whole network. The deployment of huge Massive Input Massive Output array of antenna and Small cell spatial densification are significant facilitators of high information output, broader scope, as well as increased energy efficiency. However, there are certain critical drawbacks with this technology that must be solved, including performance decrease owing to hardware limitations. To that end, this essay investigates Hardware flaws and their consequences for massive multiple-input multiple-output. In addition, The EE expanding point of operation may be negligible in terms of spectral efficiency, and by increasing the number of base stations, energy may be considerably enhanced.

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Section: Udn Energy Efficiency Techniquesmentioning

confidence: 99%

Section: Network Design and Implementationmentioning

confidence: 99%

Section: Radio Transmission Process Optimizationmentioning

confidence: 99%

Section: Sleeping Strategy For Base Stationsmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of the effect of 5G Hardware Impairments on achieving high Energy Efficiency

Vaishnavi

Sharma

2022

J. Phys.: Conf. Ser.

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“…It is possible to determine video surveillance traffic in a straightforward and accurate manner. For the sake of our application, a 4 Mbps stream is a realistic assumption [12][13][14]. It is necessary to calculate the required bandwidth by taking into account the combined speed of all video streams.…”

Section: Introductionmentioning

confidence: 99%

Improved Channel Capacity in 5G Ultradense Network

Biradar¹,

Duela

Ramya³

et al. 2022

Wireless Communications and Mobile Computing

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In general, it is necessary to evaluate the required bandwidth in each segment of the 5G ultradense network. After doing so, it is necessary to decide on the choice of OSI network and connection layer technologies. The most suitable models of network equipment are determined according to the technologies so selected. This question is not easy because performance depends directly on the performance of the hardware and also on the performance, software, and hardware configuration. These channel capabilities are the criteria for evaluating the performance of channels and equipment on 5G networks. In this paper, a model is proposed to increase the channel capacity of the 5G ultradense network. It is designed to increase the bandwidth usage of the channel and increase its functionality. Its main special feature is that its energy and power consumption is very low compared to other methods. This method is also ideal for sending more data with less power.

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Binary Particle Swarm Optimization for Selective Cell Switch-Off in Ultra-Dense 5G Networks

Espinosa-Martínez

Galeano-Brajones²,

Carmona-Murillo³

et al. 2022

Lecture Notes in Computer Science

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Binary-PSO-based energy-efficient small cell deployment in 5G ultra-dense network

Cited by 12 publications

References 27 publications

Evaluation of the effect of 5G Hardware Impairments on achieving high Energy Efficiency

Evaluation of the effect of 5G Hardware Impairments on achieving high Energy Efficiency

Improved Channel Capacity in 5G Ultradense Network

Binary Particle Swarm Optimization for Selective Cell Switch-Off in Ultra-Dense 5G Networks

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