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Intelligence in IoT-Based 5G Networks - Coggle Diagram
Intelligence in IoT-Based 5G Networks
Requirement (Abstract)
efficient use of spectrum
coexistence
of different network technologies
low latency
high data rates,
Can be achieve by
Using AI on massive data by IoT devices
Kipling's method (Question asked method)
further more
intelligent use of
spectrum through full duplex
cognitive radio technologies
Introduction
time-division multiple access for 2G
code-division multiple access
for 3G
frequency-division
multiple access (FDMA) for 1G,
orthogonal FDMA for 4G
5G multiple technologies coexist
millimeter-wave (mmWave)
massive multiple-input multiple-output (mMIMO), full duplex (FD), cognitive radio
ZigBee, Bluetooth Low Energy
dynamic spectrum access.
5G important features
energy efficiency, data rate, latency, interoperability, security, and spectrum management
AI in fog node
reduce the latency, enhance the link capacity,
improve the security of the network.
5G Overview
density
connection density (total number of devices per square kilometer) providing a certain quality of service (QoS) requirement is set to support the evolution of mMTC. The minimum required connection density is 1,000,000 devices/ km2
increase spectral
efficiency
filter band multi-carrier
unified filter multi-carrier
multiple access and multi-carrier
increase data rates
deployment of small cells
increase the spectrum efficiency due to frequency reuse
mMIMO
mmWave
beamforming
Challenge
antennas for mMIMO(requires large numbers smaller in size) at low frequencies
require large physical architecture
multiple terminals use the same pilot sequence, causing interference.
Solution:
combination of mMIMO with mmWave and beamforming can be mounted on reasonable physical architecture
Energy Efficiency
Energy-efficient data transmission in loaded cases
Low energy consumption in idle scenarios, characterized by the sleep ratio and sleep duration
related to the International Mobile
Telecommunication 2020 (IMT-2020) 5G agreed by the International Telecommunication Union Radiocommunication Standardization Sector (ITU-R)
Reduce latency
in-band or out-of-band
device-to-device (D2D) communication
Non orthogonal multiple access ( NOMA)
bringing the computation and processing
services to the edge of the network
use of fog computing
IoT challenges
Data Rate Compatibility
data rate of the source device is high and the buffer of the receiving device is less than the data rate, a congestion problem will occur
intelligence in IoT devices is desired for enormous traffic generated via connected components through the Internet.
Heterogeneous Devices
heterogeneous devices prevents end users efficiently utilizing the services to their maximal benefit
IoT devices with intelligence, heterogeneity of machines, devices, gateways, processes, and data can easily be addressed with intelligent IoT-based 5G ecosystems.
Higher Density of Devices:
universal coverage will drastically consume the device battery.
An intelligent IoT-based 5G network provides narrowband IoT (NB-IoT) for efficient power consumption that supports low-power communication.
AI In Iot-bAsed 5G
need for IntellIGence In Iot-bAsed 5G
network should be able to self-organize, and to learn from the environment and make decisions
provide a secure environment for the execution of applications to make informed decisions without any interruption
revolutIonIzed wIth IntellIGence
h the advancement in miniature technologies like sensors and smart mobile devices, the interconnection of every physical object is possible with homogeneous or heterogeneous technologies
data generated from interconnected IoT devices will be used to predict crimes and accidents based on existing data