Optimizing Energy Efficiency in 6G Communication Networks Based on Data Transmission Rate Allocation

To progress communication and sensing in recent years, the Sixth-Generation (6G) network was developed. To transform the technological landscape of model transmission networks we use the 6G network, and it also used to enhance the speed, decrease the latency and improve the connectivity of network. Yet, in the 6G infrastructure with these developments it has severe challenge, that is the 6G network does not negate the benefits of energy consumption associated with network. In 6G communication the sensing performance of the smart device only relay on the available power of the network, and in the 6G communication energy efficiency becomes crucial. To progress the energy efficiency of data transmission in 6G communication networks, we deployed a Data Transmission Rate Allocation (DTRA) method. Moreover, to progress the data transmission of efficient nodes we deploy a Residual Energy Cluster Head (RECH) method. In addition, to improve the reliability and speed in the 6G network we use Dynamic Multipath Routing Protocol (DMRP) method, and it also mitigate the channel defects. Atlast, in the 6G communication networks we certify QoS through optimizing the transmission rate of the user equipment through low energy consumption, and quality of channel by the use of DTRA method. Finally, in this paper we evaluate the metrices performance of the existing methods and proposed method, for instance: efficiency, energy consumption, network lifetime, and transmission speed. After evaluate the performance metrices the DTRA method enhance network lifetime and energy efficiency of 95.3% based on 6G communication networks.

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Publication Details

Journal
Babylonian Journal of Networking
Published
2024-09-15
DOI
https://doi.org/10.58496/bjn/2024/018
Citations
11
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
2.30
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article

Optimizing Energy Efficiency in 6G Communication Networks Based on Data Transmission Rate Allocation

M. Neeladri, J Nithisha, P. Jose, R. Rama et al.
11 citations
Babylonian Journal of Networking
Advanced MIMO Systems Optimization
2.30
article

Optimizing Energy Efficiency in 6G Communication Networks Based on Data Transmission Rate Allocation

M. Neeladri, J Nithisha, P. Jose, R. Rama, T. Rengaraj, R. Mageswaran
article en
11 citations

Abstract

To progress communication and sensing in recent years, the Sixth-Generation (6G) network was developed. To transform the technological landscape of model transmission networks we use the 6G network, and it also used to enhance the speed, decrease the latency and improve the connectivity of network. Yet, in the 6G infrastructure with these developments it has severe challenge, that is the 6G network does not negate the benefits of energy consumption associated with network. In 6G communication the sensing performance of the smart device only relay on the available power of the network, and in the 6G communication energy efficiency becomes crucial. To progress the energy efficiency of data transmission in 6G communication networks, we deployed a Data Transmission Rate Allocation (DTRA) method. Moreover, to progress the data transmission of efficient nodes we deploy a Residual Energy Cluster Head (RECH) method. In addition, to improve the reliability and speed in the 6G network we use Dynamic Multipath Routing Protocol (DMRP) method, and it also mitigate the channel defects. Atlast, in the 6G communication networks we certify QoS through optimizing the transmission rate of the user equipment through low energy consumption, and quality of channel by the use of DTRA method. Finally, in this paper we evaluate the metrices performance of the existing methods and proposed method, for instance: efficiency, energy consumption, network lifetime, and transmission speed. After evaluate the performance metrices the DTRA method enhance network lifetime and energy efficiency of 95.3% based on 6G communication networks.

Babylonian Journal of NetworkingVol. 2024
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), SRM Institute of Science and Technology (IN), Anna University, Chennai (IN), SRM Dental College (IN), Aditya Birla (India) (IN), REVA University (IN)
Affordable and clean energy
Openalex Percentile: Top 11%
Advanced MIMO Systems Optimization
2.30
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