Analysis of power consumption in standalone 5G network and enhancement in energy efficiency using a novel routing protocol

Sharma, Divyanshu; Singhal, Sanyam; Rai, Amrita; Singh, A. J.

doi:10.1016/j.segan.2020.100427

Cited by 17 publications

(7 citation statements)

References 20 publications

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“…In accordance to PC, the authors of [37] suggested a power model for assessing the performance of servers based on network demands. The power model indicated a non-linear relationship between the PC and the processing capacity as the load increased.…”

Section: A Related Workmentioning

confidence: 99%

Optimizing the Energy Efficiency Using Quantum Based Load Balancing in Open Radio Access Networks

Al-Karawi,

Al-Raweshidy,

Nilavalan

2024

IEEE Access

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The open radio access network (ORAN) aims to improve network efficiency by reducing latency through the distributed unit (DU) and virtualization in the central unit (CU). However, the deployment of additional DU servers increases power usage and competition among virtual machines for user data processing. This study proposes a novel approach to address these challenges by incorporating load balancing strategies and quantum physics concepts, particularly entanglement theory in classical communication systems. The methodology enables the production of quantum information units from a single classical information unit, aiming to conserve energy. A simplified yet effective power consumption (PC) model for the ORAN architecture captures traffic fluctuations and provides a comprehensive characterization of power usage within a virtualized system. An optimization problem is formulated to select ORAN servers for quantum load balancing that are less energy-efficient, maximizing user benefits. The Lagrange multiplier method is used to deal with nonlinear objective functions. The presented problem is addressed through the use of two numerical methods, namely sequential quadratic programming (SQP) and the active-set approach. It is shown that the SQP model exhibits superior energy efficiency compared to the active-set model, with a difference of approximately 45%.

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Section: A Related Workmentioning

confidence: 99%

Optimizing the Energy Efficiency Using Quantum Based Load Balancing in Open Radio Access Networks

Al-Karawi,

Al-Raweshidy,

Nilavalan

2024

IEEE Access

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“…The wireless system disperses energy to enable the transmitter and amplifier of the transmitter in the case of network transmission and receiving [15]. Furthermore, the wireless Wireless Communications and Mobile Computing system generates energy to power the receiver circuit.…”

Section: Energy Modelmentioning

confidence: 99%

Energy-Efficient Routing Protocol for Next-Generation Application in the Internet of Things and Wireless Sensor Networks

Dogra

Rani

Babbar

et al. 2022

Wireless Communications and Mobile Computing

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Among the key challenges with wireless sensor networks (WSNs) is that most sensor nodes are fueled by energy-constrained batteries, which has a significant impact on the network’s efficiency, reliability, and durability. As a result, many clustering approaches have been developed to enhance the energy efficiency of WSNs. Meanwhile, fifth-generation (5G) transmissions necessitate the usage of multiple-input multiple-output (MIMO) multiple antennas in numerous Internet of Things (IoT) applications to furnish increased capacity in a multipath spectrum environment. Instead of a single senor that can facilitate better load balancing utilization, we believe to balance the energy utilization per unit area. The devices in IoT are submerged with various transmission interfaces known as MIMO in 5G networks. With MIMO being more commonly accessible on IoT devices, an effective clustering approach for rapidly evolving IoT systems is both lacking and urgently needed to support a variety of user scenarios. In this paper, we proposed the intelligent MIMO-based 5G balanced energy-efficient protocol which focuses to achieve Quality of Experience (QoE) for transmitting in clusters for IoT networks. The proposed protocol enhances the utilization of energy and lifetime of the network in which it shows 30% less energy utilized in comparison to the existing protocols.

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“…The author's most up-to-date objective hypotheses throughout the analysis paper [10], which will then be conditioned to analyzing the deployment rules for different virtual machines (VMs) in cloud computing conditions.The outcome of the simulation between proposed and current methods shows the overall enchantment with regard to system performance and computational optimization [11]. In the cloud development paper [12] participant predominantly recommended a conceptual mathematical formalism-conscious VM placement process [13].The authors of [14,15] have presented a method that utilises a three-layer cloud computing network and load balancing idea. Authors in [16] present enhanced load balanced Min-Min (ELBMM) method as a resource management method.Another technique suggested in [17] is a Resource-based Load balanced Min-Min (RBLMM).…”

Section: Related Workmentioning

confidence: 99%

Energy Efficiency Based Load Balancing Optimization Routing Protocol In 5G Wireless Communication Networks

Paikaray¹,

Chhabra²,

Sharma³

et al. 2022

Int. j. commun. netw. inf. secur.

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A significant study area in cloud computing that still requires attention is how to distribute the workload among virtual machines and resources. Main goal of this research is to develop an efficient cloud load balancing approach, improve response time, decrease readiness time, maximise source utilisation, and decrease activity rejection time. This research propose novel technique in load balancing based network optimization using routing protocol for 5G wireless communication networks. the network load balancing has been carried out using cloud based software defined multi-objective optimization routing protocol. then the network security has been enhanced by data classification utilizing deep belief Boltzmann NN. Experimental analysis has been carried out based on load balancing and security data classification in terms of throughput, packet delivery ratio, energy efficiency, latency, accuracy, precision, recall.

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Analysis of power consumption in standalone 5G network and enhancement in energy efficiency using a novel routing protocol

Cited by 17 publications

References 20 publications

Optimizing the Energy Efficiency Using Quantum Based Load Balancing in Open Radio Access Networks

Optimizing the Energy Efficiency Using Quantum Based Load Balancing in Open Radio Access Networks

Energy-Efficient Routing Protocol for Next-Generation Application in the Internet of Things and Wireless Sensor Networks

Energy Efficiency Based Load Balancing Optimization Routing Protocol In 5G Wireless Communication Networks

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