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JIO's 6G "ante portas"

5G to 6G Migration Network Design

This course introduces participants into 3GPP releases 17,18 and 19, leading to 6G technology and architecture, covering both 5G and 6G radio and core evolution
Aimed At
Course Review
Why Choose this Course
You will learn
Course Outline
Training Format
FAQ's

Customer Tailored

We can tailor the included topics,tech level,and duration of this course right to your team’s technical requirements and needs. - MCNS offers courses to companies, institutions, departments etc and not to individuals as per open courses.
Aimed At

5G to 6G Migration Network Design is aimed at both RAN and Core engineers who are interested in 5G/6G technology evolution, fusing together core cloud architecture and 6G RAN slicing. It might be also useful for anyone involved in 5G/6G product development, professionals and researchers who want to upgrade their skills to 6G, students who want to learn about latest telecom technologies and have plans to apply for work in telecom mobile operator and vendor companies, individuals and researchers involved in 5G/6G analysis or planning or design and technical consultants working into various mobile technology projects and technical requirements filling the gap between their expertise (IT technology machine learning and software engineers etc) and the 5G/6G technology.

Prerequisites: In order for the attendant to better understand the content of this topic and to gain a further insight, some prior knowledge of 5G RAN and 5GC and cloud overview knowledge is recommended.

Course Review

This 6G training course will smoothly introduce audience into a perfect introduction to 6G, from both current research and 3GPP standards stage. Participants will examine the 6G Vision, 6G Roadmap, and subsequent 6G RAN Technologies along with use cases facilitating large improvements in the areas of imaging, presence technology and location awareness. Although the effort of 6G standards is on-going for the next four to five years away, certain likely characteristics are coming to light.

Those characteristics allow for 6G full integration to existing 5G SA technology, including the full integration of AI/ML to RAN algorithms and instantaneous communications between devices, been powered by higher GHz to THz bands (3GPP and the ITU/ETSI between 300 GHz to 3 THz) and enhances massive MIMO technologies including Reconfigurable Intelligent Surfaces (RIS) to reduce the energy consumption and improve the spectral efficiency of wireless networks by artificially re-configuring the propagation environment of electromagnetic waves.

Another big factor would be the Mobile Edge Computing (MEC) technology providing many potential advantages as 6G technology becomes operational. After this course participants will have a solid understanding of the O-RAN for 5G and 6G network necessity, new services and network topology and architectures with all functional modules in both O-RAN and core domain.

Course Benefits for individuals (Professionals)
  • Evaluate implementation options for 6G technology
  • Build knowledge of a comprehensive set of Cloud and 6G RAN technology / deployment scenarios.
  • Understand the 3GPP release 18 & 19 contribution to 6G
  • Learn how to plan for 6G RAN services and use cases.
  • Confidence to set expectation for 6G forthcoming technology and to better evaluate solutions in terms of commercially viability, reliability, risk and strategy.
Course Benefits for your Organization
  • Equip organization engineers with the necessary knowledge of 6G technology.
  • Develop technology solutions and roadmaps that are better aligned with the expected 6G industry direction
  • Learn about latest 6G RAN and cloud technology developments, verticals and initiatives
  • A solid foundation on which to build organizational competency development plans to ensure opportunities arising from 6G architectures.
  • Keep ahead of competitors in preparing your network for 6G deployment.
  • Prepare for future network expansions and quality performance optimization
You will learn
The key points you will learn through this course

6G basics

6G Technology Overview

6G Network Planning Overview

Course Outline
A short brief of your program details & schedule

5G advanced to 6G evolution

  • 3GPP standards overview
  • 3GPP Release 17 – 5G Advanced technical requirements
  • 5G Rel 17 advanced features
  • 3GPP Release 18 – 5G Advanced technical requirements
  • 5G Rel 18 advanced features
  • 3GPP Release 19 initial requirements
  • 5G Advanced migration to 6G

6G Overview

  • 6G technology overview
  • 6G vision
  • 6G E2E architecture
  • 6G initiatives
  • 6G device requirements

6G Preliminaries on use cases

  • 6G use cases
  • 6G – Intelligent network automation
  • 6G – Reduced capability (RedCap) NR devices
  • 6G – Network energy savings
  • 6G – Ambient IoT
  • 6G Tactile/haptic communications
  • 6G Holographic services

6G network Technology

  • 6G RAN technology requirements
  • AI/ML in 6G RAN Layer 2
  • AI/ML in 6G RAN physical layer
  • 6G core technology requirements
  • AI/ML in 5G core
  • 6G cloud evolution requirements

5G/6G core network technology

  • 5G cloud core
  • 5G slicing
  • 5G core Functions
  • AMF Functionalities
  • UPF Functionalities
  • SMF Functionalities
  • AUSF Functionalities
  • 5G Core Interfaces
  • 5G to 6G core requirements
  • 5G/6G combined core architectures

6G RAN overview

  • 6G New Frequency bands
  • 6G GHz bands – upper C-band (6-15 GHz)
  • 6G GHz bands – upper mmW band (100–300 GHz)
  • 6G THz bands – (>300 GHz)
  • 6G Reconfigurable Intelligent Surface (RIS)
  • 6G smart repeaters
  • 6G RAN Non Terrestrial Network (NTN) connectivity
  • 6G RAN IoT connectivity
  • AI/ML RAN functionality
  • Orbital angular momentum (OAM) multiplexing
  • Innovative air-interface design
  • Hardware Acceleration
  • 6G Combined Sensing & Communication
  • 6G automation
  • 6G Holographic radio
  • 6G Edge Computing
  • 6G Quantum computing
  • 6G Integrated terrestrial and non-terrestrial infrastructures

6G radio channel characteristics

  • Physical vs empirical propagation models for 6G bands
  • Propagation and channel modeling merging
  • Joint Channel estimation and Link Adaptation techniques
  • The era of dynamic real-time machine learning ray tracing
  • 5G radio channel in FR3 6-15 GHz bands
  • 6G radio channel above 80 GHz bands
  • 6G radio channel in THz bands
  • New propagation characteristics in 6G ultraGHz-THz bands
  • The ultra-high propagation loss
  • The pencil-beam gain requirements
  • Reconfigurable meta-surface antennae to tailor the propagation

6G MIMO evolution

  • ΜΙΜΟ Rel10 basics
  • MIMO Transmission modes and schemes in 4G/5G
  • 5G massive MIMO evolution
  • Beamforming in digital or analog domain
  • 5G mMIMO four spatial streams (4xSM) capacity
  • 5G mMIMO code-book vs non-codebook scheme
  • 6G ultra mMIMO (umMIMO) evolution
  • 6G 3072 mMIMO elements in FR3 15 GHz band
  • 6G umMIMOpencil-beam generation and gain characteristics
  • 6G umMIMO eight spatial streams (8xSM) capacity
  • 6G umMIMO with AI/ML channel estimation prediction
Training Format

Instructor-Led Training

On-Site Classroom: 3 days

Web delivered (Virtual): 3 days

Excellent and descriptive course material (pdf file) will be provided

FAQ's

How is 6G radio different from 5G radio?

Αlthough 6G technology is still in the conceptual and early research phases, so there might not be concrete differentiations available yet. However, based on the trends and goals often associated with generational advancements in wireless technology, we can anticipate some potential differences: Higher Frequency bands: 6G may operate at even higher frequencies than 5G, possibly reaching into the terahertz range. This could enable faster data rates and lower latency. Increased Bandwidth: With advancements in spectrum utilization techniques, 6G could offer wider bandwidth, allowing for more data to be transmitted simultaneously. Ultra-low Latency: While 5G aims for ultra-low latency in the millisecond range, 6G might push this even further, potentially reaching sub-millisecond latency. This could be critical for applications like real-time remote surgery or autonomous vehicles. Ultra Massive MIMO and Beamforming: Multiple Input Multiple Output (MIMO) and beamforming technologies will likely be further enhanced in 6G, allowing for even more efficient use of available spectrum and better coverage. AI/ML Integration: Artificial Intelligence (AI) could play a more significant role in managing and optimizing 6G networks, enabling dynamic resource allocation, predictive maintenance, and enhanced security. Sustainability and Energy Efficiency: There may be increased emphasis on making 6G networks more energy-efficient and environmentally friendly, possibly through innovations in power management and network optimization. New Use Cases: 6G is expected to support a wide range of emerging applications, such as holographic communications, ubiquitous augmented reality (AR) and virtual reality (VR), advanced telepresence, and seamless connectivity for Internet of Things (IoT) devices.

How 6G network planning would be different than 5G?

6G network planning would likely differ from 5G in several key ways, reflecting advancements in technology and evolving demands. Here are some potential differences: Frequency Spectrum: 6G may utilize higher frequency bands, potentially reaching into the terahertz range. Network planners would need to account for the propagation characteristics of these frequencies, including their shorter range and susceptibility to obstacles. Network Architecture: 6G could introduce new network architectures, such as fully decentralized or mesh networks, to support ultra-low latency and massive connectivity requirements. This would require novel planning approaches to optimize coverage, capacity, and reliability. Ultra-Dense Deployments: To meet the anticipated demand for high-speed, low-latency connectivity, 6G networks might require even denser deployments of small cells and base stations compared to 5G. Network planners would need to carefully plan the placement of these nodes to ensure optimal coverage and capacity. AI-Driven Optimization: With the integration of artificial intelligence (AI) into network management and optimization, 6G planning would involve leveraging AI algorithms to dynamically allocate resources, predict traffic patterns, and optimize network performance in real-time. Heterogeneous Networks: 6G networks may incorporate a diverse range of technologies, including satellite communications, terrestrial networks, and airborne platforms. Network planners would need to coordinate the integration of these heterogeneous networks to ensure seamless connectivity and coverage across different environments. Security and Privacy Considerations: Given the increasing reliance on interconnected devices and applications, 6G planning would need to prioritize robust security and privacy measures from the outset. This would involve designing secure network architectures, implementing encryption standards, and incorporating privacy-preserving technologies. Sustainability and Energy Efficiency: As environmental concerns become more prominent, 6G planning would likely place greater emphasis on sustainability and energy efficiency. This could involve optimizing network infrastructure, deploying renewable energy sources, and minimizing carbon footprint throughout the network lifecycle. New Use Cases and Vertical Industries: 6G planning would need to anticipate and accommodate a wide range of emerging use cases and vertical industries, including autonomous vehicles, augmented reality, telemedicine, and smart cities. This would require close collaboration with industry stakeholders to understand their unique requirements and design tailored network solutions.

Where would be 6G superior than 5G?

Overall, 6G network would be characterized by a focus on innovation, flexibility, and adaptability to meet the evolving needs of an increasingly connected and digitalized world.

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    5G to 6G Migration Network Design

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