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5G RAN SA Planning telecom training course

5G RAN SA Planning

5G RAN SA Planning will offer delegates a good and deep understanding on 5G NR Radio Access Network (RAN) planning with focus on the Stand Alone (SA) throughput analysis
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 RAN SA Planning is mainly aimed at a technical audience. It is suitable for technical professionals, RAN operators, Radio planning engineers, RAN optimization engineers, Research Institutes, defense sector, who currently are or will be involved in SA throughput enhancements and 5G SA deployments.

Prerequisites: Those wishing to take this course should have a good and solid understanding of 5G technology, with emphasis on 5G NR air interface.

Course Review

This 5G training course leads the audience into a deep dive towards 5G Stand Alone technology planning principles, both from understanding as well as configuration perspective. It offers an understanding of the opportunities, challenges, and risks that’s needed to exploit and deploy the 5G SA technology from the throughput perspective. It teaches how to maximize RAN SA network capacity and enhance data transmission. The course is supported by proper excel dimensioning (calculator) files for practical exercises and case studies

Course Benefits for individuals (Professionals)
  • Understanding 5G SA RAN requirements
  • Explore 5G RAN coverage and capacity principles
  • Learn how to plan for cell edge users as well as average cell performance conditions
  • Understand the principles behind the control channels and reference signals capacity and coverage requirements
  • Learn how to configure basic parameters
  • Practice on capacity and coverage planning tools (i.e. excel calculators examples) through practical exercises
Course Benefits for your Organization
  • Equip organization engineers with the necessary knowledge to accomplish difficult and complex tasks related to 5G NR SA RAN planning.
  • Keep ahead of competitors in offering well planned and high throughput and quality customers’ 5G services
  • Identify new revenue streams that can be enabled through 5G
  • Prepare for future network expansions and quality performance optimization
You will learn
The key points you will learn through this course

5G Radio Technology Review

Basics on Standalone (SA) Planning

Course Outline
A short brief of your program details & schedule

5G New Radio (NR) Technology Preview

  • 5G Air interface overview
  • 5G NR FR1 and FR2 bands
  • Scalable numerology
  • NR frame structure
  • FDD – TDD modes
  • NR signals and channels review
  • Stand-Alone (SA) architecture
  • 5G SA Service: eMBB

MIMO & mMIMO Technology overview

  • LTE to 5G MIMO review
  • 3GPP Massive MIMO standardization
  • Beam-forming principles
  • Massive MIMO panels and EiRP
  • Massive MIMO beamforming gain: Practical approach
  • Active Antenna Systems, Active Antenna Units

5G Channel Modeling

  • What is a Mobile Channel model ?– general principles
  • Non-Line of Sight and Rayleigh modeling
  • LoS and Rice modeling
  • Shadow modeling
  • Site modeling : Macro, micro, pico
  • Doppler effects and channel models
  • FR1 Pathloss models (3.6-3.8 GHz, 5-6 GHz)
  • FR2 Pathloss models for mmW (24-30 GHz, 30-40 GHz, 50-60 GHz)
  • Example: Link budget analysis overview; various cases (rural, urban, dense urban, O2I)
  • Exercise: Link Budget calculations using Excel

Uplink Planning

  • Network quality requirements
  • Vendor (equipment) UL requirements
  • Power control factor
  • Uplink Interference factor: Optional features for Interference mitigation
  • Coverage planning for PUSCH channel
  • Coverage planning for PUCCH channel
  • Coverage planning for signals (SRS, DMRS)
  • 5G NR SA sector UL capacity estimations – eMBB service
  • UL SA & Carrier Aggregation capacity
  • UL SA overall throughput estimation (average, cell edge, max) vs SINR
  • UL Dynamic Spectrum Sharing (DSS) throughput estimation
  • Exercise: UL capacity estimations using Excel spread-sheet calculator

Downlink Planning

  • Network quality requirements
  • Vendor (equipment) DL requirements
  • Power gain calculation
  • DL Interference factor: Optional features for Interference mitigation
  • Coverage planning for PDSCH channel
  • Coverage planning (including aggregation level) for control channel PDCCH
  • Coverage planning for signals (PSS, SSS, PBCH, CSI-RS, DMRS)
  • 5G NR SA sector DL capacity estimations – eMBB service
  • DL SA & Carrier Aggregation capacity
  • DL SA overall throughput calculation (average, cell edge, max) vs SINR
  • DL Dynamic Spectrum Sharing (DSS) throughput estimation
  • Exercise: DL capacity estimations using Excel spread-sheet calculator
Training Format

Instructor-Led Training

On-Site Classroom: 2 days

Web delivered (Virtual): 2 days

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

FAQ's

Are higher frequencies used in 5G SA risky for public health?

EMF exposure from 5G networks, including through the use of new frequency bands, has to remain below the recommended limits, just like 2G, 3G and 4G networks. New guidelines from the International Commission on Non-Ionizing Radiation Protection (ICNIRP) were released in March 2020. So following ICNIRP 1998 guidelines, they are protective for current applications of radio frequency EMFs, while their new guidelines incorporate also EMF exposure for frequencies above 6 GHz, where future 5G technologies will operate. This will result in reducing the maximum magnitude of localized exposure. Limits for the exposure to EMFs that are currently recommended at international and EU level were classified by the World Health Organisation’s International Agency for Research on Cancer (IARC) at the third level in a scale of five levels of risk, which puts them in the group with other ‘possibly carcinogenic’ elements, such as pickled vegetables. This means that radio EMFs are less risky than eating red meat, working night shifts or drinking hot coffee, which are at the second level and assessed as ‘probably carcinogenic’. Radio EMFs are considered even less risky than air pollution, wood dust or alcoholic beverages, which, being at the first level, fall into the ‘carcinogenic’ category'. More information on classifications is available on the International Agency for Cancer Research website.

How are 5G SA number of antennas and EMF limits related?

Some people are worried that more antennas means more EMF exposure. The European Commission takes protection of public health very seriously and ensures that any emissions are subject to high precautionary measures. 5G networks will use small cells with lower power levels and therefore lower EMF exposure levels than the existing large cells in 4G networks. A recent Commission study showed that in urban areas where 5G will be deployed and 4G antennas are still in use, the overall exposure levels will modestly increase, but this will still be a long way below safe limits, which are 50 times lower than levels at which health effects are possible. As the 4G antennas go out of use, exposure levels will go down. Moreover, 4G and older generation antennas, which operate with higher emission powers, are expected to be used less and less in these areas. The new, small cell networks will develop and distribute sources of electromagnetic fields more evenly at lower power levels.

How is 5G SA performance boosted?

In pure technical terms, 5G networks are characterised by low-latency with nearly real-time network responsiveness, wider bandwidth for ultra-fast data and guaranteed quality having a part of the network reserved for a particular use. These features make 5G the key foundation to test and launch the latest technologies, namely, the Internet of Thing (IoT), Artificial Intelligence (AI), Virtual and Augmented reality (VR and AR). Edge computing is a key concept to meet these requirements. It means data processing close to, or directly on, the user’s device, rather than sent over the network to a data processing centre and then retrieved and sent it back to the user’s device. Such real-time interaction will enable applications like health and patient monitoring, remote control of factory machines, smart grids for renewable energy management, autonomous vehicles, precise fault detection and quick intervention, and more.

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