5. 6G TECHNOLOGY
• Wireless mobile technology.
• Deals with satellite network for the global coverage.
• Will be standardized with deployments starting before 2030.
• Increase performance and maximize our data throughput.
• Provide more security to our system and data.
• Usage of wireless broadband technology.
• Airfibre network.
MOSTAFA ZAMAN,CHAWDURY,MD. SHAHJALAL,AHMED,YEONG MIN JANG"6G WIRELESS COMMUNICATION SYSTEMS: APPLICATIONS,
REQUIREMENTS, TECHNOLOGIES, CHALLENGES, AND RESEARCH DIRECTIONS",4 AUGUST 2020. 5
6. • High bit rate.
• High reliability.
• Low latency.
• High energy efficiency.
• High spectral efficiency.
• New spectra.
• Green communication.
• Intelligent networks.
• Network availability.
• Communications convergence.
• Localization.
• Control and sensing.
6
10. USEGE OF 6G
MIKKO A. UUSITALO, PATRIK RUGELAND,MAURO RENATO BOLDI, EMILIO CALVANESE STRINATI-"6G VISION, VALUE, USE CASES AND TECHNOLOGIESFROM EUROPEAN
6G FLAGSHIP PROJECT HEXA-X"-DECEMBER 9, 2021.10.1109/ACCESS.2021.3130030 10
Figure 3.1
11. • Wearable devices embedded in our clothing.
• Skin patches and bio-implants be common.
• Touch-screen typing will likely become outdated.
• Autonomous vehicle.
• Wireless cameras as sensors.
• Super smart society.
11
12. • Digital cash and keys.
• Mobile robot swarms and drones.
• Holographic telepresence.
• Advanced techniques will be used in security-screening.
• Smart Healthcare and biomedical communication.
12
15. REQUIREMENTS AND KEY
PERFORMANCE
B. AAZHANG ET AL, ‘‘KEY DRIVERS AND RESEARCH CHALLENGES FOR 6G UBIQUITOUS INTELLIGENCE (WHITE PAPER),’’ 6G FLAGSHIP, UNIV. OULU, OULU, FINLAND,
WHITE PAPER, SEP. 2019. 15
Figure 4
16. • Localization and sensing
• Identifies precision and accuracy.
• Centimeter-level precision will be achieved.
• Object sensing accuracy can be measured in terms of missed detection and
false alarm.
16
17. • The network will be engineered with distributed
AI/ML techniques embedded in various nodes.
• Network automation.
• Quickly they adapt to new conditions in the network.
• Network is to complete automation with zero manual intervention.
17
18. • Revolution in the end device.
• More intuitive interfaces.
• Gesturing rather than typing.
• Will be extremely low-power and potentially battery-less.
• A robot-area network involving connecting multiple parts of a machine
such as a controller and its drives.
18
19. FUNDAMENTAL DIMENSIONS TO
DESIGN 6G
Z. ZHANG, Y. XIAO, Z. MA, M. XIAO, Z. DING, X. LEI, G. K. KARAGIANNIDIS, AND P. FAN, ‘‘6G WIRELESS NETWORKS: VISION, REQUIREMENTS, ARCHITECTURE, AND KEY TECHNOLOGIES,’’ IEEE VEH.
TECHNOL. MAG., VOL. 14, NO. 3, PP. 28–41, SEP. 2019. 19
Figure 5
20. • Spectrum in the 1 GHz - 6 GHz range is mid-band spectrum.
• Provide significant gains in spectral efficiency, enabling peak speeds
that exceed 30 bits per second (bps) per Hertz (Hz).
• Adds more capacity, more space to use.
20
21. • AI/ML techniques are data-driven.
• Two major trends points in computing .
• The first trend we observe is the emerging saturation in the number of
transistors that can be packed into a unit volume.
• The second trend is that we will adopt multiple end devices to augment
human sensing capabilities.
• Energy ranges from near-to-zero.
21
22. KEY TECHNOLOGIES FOR 6G
P. H. SIEGEL, ‘‘TERAHERTZ TECHNOLOGY IN BIOLOGY AND MEDICINE,’’ IN IEEE MTT-S INT. MICROW. SYMP. DIG., VOL. 3, JUN. 2004, PP. 1575–1578.
22
Figure 6
23. 1. AI/ML-driven air interface design and optimization.
2. Expansion into new spectrum bands and new cognitive spectrum
sharing methods.
3. The integration of localization and sensing capabilities into system
definition.
4. The achievement of extreme performance requirements on latency and
reliability.
A. KAYA AND H. VISWANATHAN, ‘‘MACHINE LEARNING BASED PREDICTIVE BEAM MANAGEMENT FOR 5G MMWAVE SYSTEMS,’’ IEEE TRANS. WIRELESS COMMUN., SUBMITTED FOR PUBLICATION.
23
24. 5. New network architecture paradigms involving sub-networks and RAN-
Core convergence.
6. New security and privacy schemes.
24
25. The expanding role of AI and ML
• We envision 6G systems to employ AI/ML in a more fundamental way
than the 5G approach.
• AI as a foundation for air interface design and optimization -self-
optimizing transmitters and receivers, cognitive spectrum use and context
awareness.
25
26. Exploiting new spectrum bands
• In the time of 6G systems, we expect subterahertz bands from 114GHz to
300GHz to become available and practical for use in cellular systems in
specific scenarios.
• Large-scale metaverse and holographic use.
• Extreme wide area IoT.
26
27. The network with the sixth sence
• High-accuracy localization.
• Network perform various sensing tasks in addition to high-precision
localization.
• AI/ML techniques applied to large antenna array systems as well as data
fusion across RF.
• Camera and other sensors on robots will improve accuracy of sensing
even with a limited number of visible access points.
27
28. • There are plenty of applications that will benefit from radio points being
turned into sensors.
• Combining the multi-modal sensing capabilities with the cognitive
technologies.
28
29. 6G network architecture concepts
1. Sub-networks
• High data rates
• Extreme low latency
• Reliability and resilience
• Security and resilience features are enforced to the lowest level of
devices in the sub-network.
29
30. 2. Hyper-Specialized Slicing
• Highly specialized, potentially with separate software stacks in
each slice for different functional treatment of the flows.
• Slice implementation applies the same principles of virtualization
across the entire provider network architecture. These principles
include radio access network and the supporting backhaul and
carrier core networks.
30
31. • Security and privacy problems raised by AI.
• Data security.
• Vulnerabilities in AI software.
• Security for IoT devices.
• Malicious operations due to massive device interconnection.
• Due to limited computing capability , storage and energy , IoT
cannot support complex cryptographic algorithms.
31
New security in 6G
32. 32
• Solutions.
• Traditional cryptographic method with much more lightweight
algorithm.
• Blockchain based methods.
• Quantum based methods.
33. CONCLUSION
In2030 6G arrives to connecting physical , human and digital worlds
creating real-time digital twins for us to play, to learn to make sense of our
world and our selves augmenting knowledge purpose and connections
securely inclusively sustainably. 6G liberating human potential.
33
34. REFERENCES
•Mostafa Zaman,Chawdury,MD. Shahjalal,Ahmed,Yeong Min Jang"6G Wireless Communication
Systems: Applications,Requirements, Technologies, Challenges, and Research Directions",4
August 2020.
•Arockia Panimalar.S, Monica.J, Amala.S, Chinmaya.V"6G Technology "-09sept2017-
www.irjet.net
•Mikko.A. Usitalo, Patrik Rugeland,Mauro Renato Boldi, Emilio Calavse Strinati-"6G Vision,
Value, Use Cases and TechnologiesFrom European 6G Flagship Project Hexa-X"-December 9,
2021.10.1109/ACCESS.2021.3130030
•B. Aazhang et al, ‘‘Key drivers and research challenges for 6G ubiquitous intelligence (white
paper),’’ 6G Flagship, Univ. Oulu, Oulu, Finland, White Paper, Sep. 2019.
34
35. •Z. Zhang, Y. Xiao, Z. Ma, M. Xiao, Z. Ding, X. Lei, G. K. Karagiannidis, and P. Fan, ‘‘6G
wireless networks: Vision, requirements, architecture, and key technologies,’’ IEEE Veh. Technol.
Mag., vol. 14, no. 3, pp. 28–41, Sep. 2019.
•P. H. Siegel, ‘‘Terahertz technology in biology and medicine,’’ in IEEE MTT-S Int. Microw. Symp.
Dig., vol. 3, Jun. 2004, pp. 1575–1578
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