Intelligent Network Solution for Improved Efficiency in 6G-Enabled Expanded IoT Network

The fast-moving world relies on intelligent connected networks to support the numerous applications of the expanded Internet-of-Things (IoT). The evolving communication requirements of this connected world require a new sixth generation (6G) radio to enable intelligent interaction with the massive n...

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Published inElectronics (Basel) Vol. 11; no. 16; p. 2569
Main Authors Rana, Ankita, Taneja, Ashu, Saluja, Nitin, Rani, Shalli, Singh, Aman, Alharithi, Fahd S., Aldossary, Sultan Mesfer
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.08.2022
Subjects
Analysis
Antennas
Antennas (Electronics)
Circuits
Communication
Control algorithms
Data transmission
Density
Energy consumption
Energy efficiency
Energy management
Energy shortages
Information flow
Intelligent networks
Internet of Things
Mobile communication systems
Network topologies
Nodes
Optimization
Power consumption
Power management
Receivers & amplifiers
Resource allocation
Signal processing
Smart cities
Traffic congestion
Wireless communication systems
Wireless communications
India
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Abstract The fast-moving world relies on intelligent connected networks to support the numerous applications of the expanded Internet-of-Things (IoT). The evolving communication requirements of this connected world require a new sixth generation (6G) radio to enable intelligent interaction with the massive number of connected objects. The energy management of billions of connected devices supporting massive Internet-of-Things (IoT) applications is the main challenge. These IoT devices and connected nodes are energy limited, and hence, energy-aware solutions are needed to enable seamless information flow between these communicating nodes. This paper presents an intelligent network solution for improved energy efficiency in a 6G-enabled expanded IoT network. A cell-free massive multiple input multiple output (mMIMO) technology is utilized for maximum energy efficiency with optimum network resource allocation. A practical power consumption model is proposed for the designed network topology which contains all the power components related to data transmission and circuit power. The proposed scheme aims to achieve maximum energy efficiency by the optimal allocation of pilot reuse factor and access point (AP) density for a given number of antennas at each AP and number of users. It is observed that the maximum energy efficiency of 5.2362 Mbit/Joule is achieved at the AP density of 29 and pilot reuse factor of 4 with PMMSE receive combining. In the end, the role of energy efficiency and area throughput tradeoff on the system performance is also evaluated, which suggests that both the energy efficiency and area throughput can be jointly increased until maximum energy efficiency is reached at a point.
AbstractList The fast-moving world relies on intelligent connected networks to support the numerous applications of the expanded Internet-of-Things (IoT). The evolving communication requirements of this connected world require a new sixth generation (6G) radio to enable intelligent interaction with the massive number of connected objects. The energy management of billions of connected devices supporting massive Internet-of-Things (IoT) applications is the main challenge. These IoT devices and connected nodes are energy limited, and hence, energy-aware solutions are needed to enable seamless information flow between these communicating nodes. This paper presents an intelligent network solution for improved energy efficiency in a 6G-enabled expanded IoT network. A cell-free massive multiple input multiple output (mMIMO) technology is utilized for maximum energy efficiency with optimum network resource allocation. A practical power consumption model is proposed for the designed network topology which contains all the power components related to data transmission and circuit power. The proposed scheme aims to achieve maximum energy efficiency by the optimal allocation of pilot reuse factor and access point (AP) density for a given number of antennas at each AP and number of users. It is observed that the maximum energy efficiency of 5.2362 Mbit/Joule is achieved at the AP density of 29 and pilot reuse factor of 4 with PMMSE receive combining. In the end, the role of energy efficiency and area throughput tradeoff on the system performance is also evaluated, which suggests that both the energy efficiency and area throughput can be jointly increased until maximum energy efficiency is reached at a point.
Audience Academic
Author Aldossary, Sultan Mesfer
Singh, Aman
Saluja, Nitin
Rani, Shalli
Alharithi, Fahd S.
Taneja, Ashu
Rana, Ankita
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CitedBy_id crossref_primary_10_1007_s11036_023_02255_y
crossref_primary_10_3390_sym14091787
crossref_primary_10_3390_electronics13132452
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Snippet The fast-moving world relies on intelligent connected networks to support the numerous applications of the expanded Internet-of-Things (IoT). The evolving...
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SubjectTerms Analysis
Antennas
Antennas (Electronics)
Circuits
Communication
Control algorithms
Data transmission
Density
Energy consumption
Energy efficiency
Energy management
Energy shortages
Information flow
Intelligent networks
Internet of Things
Mobile communication systems
Network topologies
Nodes
Optimization
Power consumption
Power management
Receivers & amplifiers
Resource allocation
Signal processing
Smart cities
Traffic congestion
Wireless communication systems
Wireless communications
Title Intelligent Network Solution for Improved Efficiency in 6G-Enabled Expanded IoT Network
URI https://www.proquest.com/docview/2706179722
Volume 11
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