5G NR : Part 1
Posted by
Manish Panchmatia
on Tuesday, January 16, 2018
Labels:
Education,
Innovation,
software,
Telecom Wireless
/
Comments: (0)
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5G is about IoT. In fact in 4G also, IoT related standardization was started with NB-IoT.
Use Cases
Use Cases
- AR/VR
- Autonomous transportation (car)
- Reliable access to remote health-care
- Public safety
- Smarter Agriculture
- Efficient use of energy/utilities
- Autonomous manufacturing
- Sustainable cities and infrastructure
- Digitized logistics and retails
Verticals
Avalanche of traffic volume | Massive connected devices | Diversified use cases Autonomous car |
---|---|---|
Connectivity Req Peak data rate 10Gbps Min data rate 50 Mbps High user mobility Brodband access in dense area | Connectivity Req Low cost Low energy Low packet size | Connectivity Req Ultra high reliability Ultra low latency |
Use cases Ultra large volume transfer Always connected in crowd AR / VR | Use Cases IoT IIoT | Use cases V2V communication Driver-less car Remote surgery Smart grid Manufacturing Robot |
Market Segments
1. Enhanced Mobile Broadband (eMBB)
2. Massive Machine Type Communications (eMTC)
3. Ultra Reliable and Low Latency Communications (URLLC)
Key KPIs
1. Peak data rate
2. Spectrum efficiency
3. Mobility
4. Latency
5. Connection diversity
6. Network energy efficiency
7. Area traffic capacity
5G standard bodies
1. 3GPP (ITU-R) : (IMT 2020)
2. EU - (METIS - 2020)
3.1 Japan 2020 and beyond
3.2 Korea 5G Forum
3.3 MOST - China
5G Evolution
1. IMT-Advanced
2. Enhanced IMT-Advanced
3. 5G RAN
Peak data rate
Mobility
Capacity (/km square)
Number of connected devices / cell
User plane latency
Energy Saving (energy / bit)
5G Standards
3GPP 5G NR Specification
|
Verizon 5G Specification
| |
---|---|---|
Phy channels and modulation | 38.211 : NR | TS V5G.211 |
Multiplexing and channel coding | 38.212 : NR | TS V5G.212 |
Physical layer procedures | 38.213 : NR | TS V5G.213 |
URL | http://www.3gpp.org/DynaReport/38-series.htm | http://www.5gtf.net/ |
pre 5G standard - https://m.corp.kt.com/eng/html/biz/services/sig.html
3GPP Important Standards
TS 38.211 NR; Physical channels and modulation
TS 38.212 NR; Multiplexing and channel coding
TS 38.213 NR; Physical layer procedures for control
TS 38.214 NR; Physical layer procedures for data
TS 38.215 NR; Physical layer measurements
TS 38.300 NR; Overall description; Stage-2
TS 38.321 NR; Medium Access Control (MAC) protocol specification
TS 38.322 NR; Radio Link Control (RLC) protocol specification
TS 38.323 NR; Packet Data Convergence Protocol (PDCP) specification
TS 38.331 NR; Radio Resource Control (RRC); Protocol specification
TR 38.801 Study on new radio access technology: Radio access architecture and interfaces
TR 38.912 Study on new radio access technology
TR 38.913 Study on scenarios and requirements for next generation access technologies
TS 23.501 System Architecture for the 5G System
NSA
gNB to EPC
SA
gNB to 5G CN
For greenfield deployment
4G and 5G comparison
4G
|
5G
|
---|---|
eNB | gNB Key Functions: 1. Intercell Radio Resource Management 2. Resouce Block Control 3. Radio Admission Control 4. Connection Mobility Control 5. Dynamic Resource Allocation (Scheduler) 6. Measurement Configuration and Provisioning |
X2 Interface | Xn Interface |
MME | AMF : Access & Mobility Management F Key Functions: 1. NAS Security 2. Idle State Mobility Handling |
S-GW | UPF : User Plane F Key Functions: 1. Mobility Anchroing 2. PDU Handling |
P-GW | SMF : Session Management F Key Functions: 1. UE IP Address Allocation 2. PDU Session Control. |
S1-C | NG-C |
S1-U | NG-U |
EPC | 5G CN = NGC |
U-Plane
New protocol SDAP over existing PDCP
Deployment Models
Model | Fy | BW |
---|---|---|
Indoor Hotspot | 30 GHz | Upto 1 GHz |
Rural | 700 MHz | Upto 20 MHz |
High Speed | 4 GHz | Upto 200 MHz |
Urban + Massive Connections | 700 MHz OR Optionally 2100 MHz |
Reference : TR 38.913 Study on scenarios and requirements for next generation access technologies
mmWave frequency is > 30 GHz
5G New Technology
1. mmWave frequency is > 30 GHz
2. Massive MIMO > 8 x 8 MIMO
3. Beam Management
4. LDPC coding (for U-Plane) and Polar coding (for C-Plane)
5. AS Layer
6. UL Waveform
7. Subframe structure
8. HARQ
9. SDN
10. NFV
11. Grant-free UL for IoT
Numerologies
1 frame = 10 subframe
1 subframe's slot = f (n)
1 slot = 14 symbols
So 1 frame's slot = 10 x f(n)
So 1 subframe's symbols = 14 x f(n)
So 1 frame's symbol = 10 x 14 x f(n) = 140 x f(n)
Numerology
|
Sub carrier BW (kHz)
Delta F = 2 ** n x 15
|
12 x Delta F
|
Remark
|
Slot / subframe
|
Slot / frame
|
Symbol / subframe
|
Symbol / frame
|
---|---|---|---|---|---|---|---|
0
|
15
|
180 kHz
|
Below 1GHz
1 GHz to 6 GHz
|
1
|
10
|
14
|
140
|
1
|
30
|
360 kHz
|
Below 1GHz
1 GHz to 6 GHz
|
2
|
20
|
28
|
280
|
2
|
60
|
729 kHz
|
1 GHz to 6 GHz
24 GHz to 52.6 GHz
|
4
|
40
|
56
|
560
|
3
|
120
|
1.44 MHz
|
24 GHz to 52.6 GHz
|
8
|
80
|
112
|
1120
|
4
|
240
|
2.88 MHz
|
16
|
160
|
224
|
2240
| |
5
|
380
|
5.76 MHz
|
32
|
320
|
448
|
4480
|
Slot Format
TDD or FDD depends upon
0 : All 14 Symbols are D
1 : All 14 Symbols are U
2 : X
3 : 13 D + 1 X
4: 12 D + 2 X
5 : 11 D + 3 X
D = Downlink
U = Uplink
X = Flexible
To be continued...
AWS
Posted by
Manish Panchmatia
on Tuesday, January 9, 2018
Labels:
ArtificialIntelligence,
Database,
Education,
Innovation,
MachineLearning,
software
/
Comments: (3)
Full article...>>
As per Wikipedia Amazon has about 90+ cloud services. Here is list of all major services
90 services
Computing
Amazon Elastic Compute Cloud (EC2) : IaaS
Amazon Elastic Beanstalk (ESB) : PaaS
Amazon Lambda : FaaS
Networking
Amazon Route 53
Amazon Virtual Private Cloud (VPC)
AWS Direct Connect
Amazon Elastic Load Balancing (ELB)
AWS Elastic Network Adapter (ENA)
Content Delivery
Amazon CloudFront : CDN
Contact Center
Amazon Connect
Storage and content delivery
Amazon Simple Storage Service (S3) : Object storage
Amazon Glacier : For archiving data
AWS Storage Gateway : iSCSI
Amazon Elastic Block Store (EBS) : block level storage
AWS Import/Export
Amazon Elastic File System (EFS)
Database
Amazon DynamoDB : NoSQL
Amazon Elastic Cache : Like Memcached and Redis
Amazon Relational Database Service (RDS) : MySQL, Oracle, SQL Server, PostgreSQL
Amazon Redshift : column based
Amazon SimpleDB
AWS Data Pipeline
Amazon Aurora : MySQL
Mobile services
AWS Mobile Hub : Add/Configure features for mobile apps
Amazon Cognito : Singup / signin
AWS Device Farm : Testing
Amazon Pinpoint : email/SMS/push notofication and tracking customer activity
Deployment
AWS CloudFormation : IaaC to configure cloud
Amazon Elastic Beanstalk (ESB) : PaaS
AWS OpsWorks : Configure EC2 using Chef
AWS CodeDeploy
Management
AWS System Manager
Amazon Indentity and Access Management (IAM) : Implicit Service
AWS Directory Service
Amazon CloudWatch
AWS Management Console (AWS Console)
Amazon CloudHSM (Hardware Security Module)
AWS Key Management Service (KMS)
Amazon EC2 Container Service (ECS)
Application services
Amazon API Gateway
Amazon CloudSearch
Amazon DevPay
Amazon Elastic Transcoder (ETS) : S3 hosted videos transcoding for mobile
Amazon Simple Email Service (SES)
Amazon Simple Queue Service (SQS)
Amazon Simple Notification Service (SNS)
Amazon Simple Workflow (SWF)
Amazon Cognito
Amazon AppStream
Analytics
Amazon Athena : Serverless query to S3 content
Amazon Elastic MapReduce (EMR) : PaaS
Amazon Machine Learning
Amazon Kinesis : like Apache Kafka
Amazon Elastic Search : elastic search and Kibana
Amazon QuickSight
Amazon Sagemaker : Deep Learning. Build, train and deploy Machine Learning models
Miscellaneous
Amazon Marketplace Web Service (MWS)
Amazon Mechanical Turk (Mturk)
Amazon Product Advertising API : old names (1) Amazon Associate Web Service (A2S) + (2) Amazon E-commerce Service (ECS)
Amazon Gift Code on Demand (AGCOD) : For corporate customer
AWS Partner Network (APN)
Amazon Lumberyard : Game engine
Amazon Chime : Colloborative service for video, conf. and IM.
Amazon Autoscaling
Machine Learning
AWS DeepLens : Computer vision and deep learning
Amazon Comprehand : NLP
Amazon Rekognition Video
Amazon Sagemaker : Deep Learning. Build, train and deploy Machine Learning models
Amazon translate
Amazon Transcribe
Developer tools
AWS Cloud9 : cloud IDE
90 services
Computing
Amazon Elastic Compute Cloud (EC2) : IaaS
Amazon Elastic Beanstalk (ESB) : PaaS
Amazon Lambda : FaaS
Networking
Amazon Route 53
Amazon Virtual Private Cloud (VPC)
AWS Direct Connect
Amazon Elastic Load Balancing (ELB)
AWS Elastic Network Adapter (ENA)
Content Delivery
Amazon CloudFront : CDN
Contact Center
Amazon Connect
Storage and content delivery
Amazon Simple Storage Service (S3) : Object storage
Amazon Glacier : For archiving data
AWS Storage Gateway : iSCSI
Amazon Elastic Block Store (EBS) : block level storage
AWS Import/Export
Amazon Elastic File System (EFS)
Database
Amazon DynamoDB : NoSQL
Amazon Elastic Cache : Like Memcached and Redis
Amazon Relational Database Service (RDS) : MySQL, Oracle, SQL Server, PostgreSQL
Amazon Redshift : column based
Amazon SimpleDB
AWS Data Pipeline
Amazon Aurora : MySQL
Mobile services
AWS Mobile Hub : Add/Configure features for mobile apps
Amazon Cognito : Singup / signin
AWS Device Farm : Testing
Amazon Pinpoint : email/SMS/push notofication and tracking customer activity
Deployment
AWS CloudFormation : IaaC to configure cloud
Amazon Elastic Beanstalk (ESB) : PaaS
AWS OpsWorks : Configure EC2 using Chef
AWS CodeDeploy
Management
AWS System Manager
Amazon Indentity and Access Management (IAM) : Implicit Service
AWS Directory Service
Amazon CloudWatch
AWS Management Console (AWS Console)
Amazon CloudHSM (Hardware Security Module)
AWS Key Management Service (KMS)
Amazon EC2 Container Service (ECS)
Application services
Amazon API Gateway
Amazon CloudSearch
Amazon DevPay
Amazon Elastic Transcoder (ETS) : S3 hosted videos transcoding for mobile
Amazon Simple Email Service (SES)
Amazon Simple Queue Service (SQS)
Amazon Simple Notification Service (SNS)
Amazon Simple Workflow (SWF)
Amazon Cognito
Amazon AppStream
Analytics
Amazon Athena : Serverless query to S3 content
Amazon Elastic MapReduce (EMR) : PaaS
Amazon Machine Learning
Amazon Kinesis : like Apache Kafka
Amazon Elastic Search : elastic search and Kibana
Amazon QuickSight
Amazon Sagemaker : Deep Learning. Build, train and deploy Machine Learning models
Miscellaneous
Amazon Marketplace Web Service (MWS)
Amazon Mechanical Turk (Mturk)
Amazon Product Advertising API : old names (1) Amazon Associate Web Service (A2S) + (2) Amazon E-commerce Service (ECS)
Amazon Gift Code on Demand (AGCOD) : For corporate customer
AWS Partner Network (APN)
Amazon Lumberyard : Game engine
Amazon Chime : Colloborative service for video, conf. and IM.
Amazon Autoscaling
Machine Learning
AWS DeepLens : Computer vision and deep learning
Amazon Comprehand : NLP
Amazon Rekognition Video
Amazon Sagemaker : Deep Learning. Build, train and deploy Machine Learning models
Amazon translate
Amazon Transcribe
Developer tools
AWS Cloud9 : cloud IDE
2017: Looking back with smile
Posted by
Manish Panchmatia
on Thursday, January 4, 2018
Labels:
About,
Gujarat,
India,
Sanskrit,
security,
software,
Spiritual Science
/
Comments: (0)
Full article...>>
Happy New Year 2018
I saw few post on blog / Facebook about 2017 review. So let me write one for myself also. Just making a list of important events over last year.
Spiritual/Religious:
Sanskrit Promotion:
Entertainment:
2018:
New hope, confidence to move forward, progress in spiritual front, personal front and professional front in this digital era.
I saw few post on blog / Facebook about 2017 review. So let me write one for myself also. Just making a list of important events over last year.
Spiritual/Religious:
- Attended few but very effective Satsang with Sri Sri Guruji and HDH Mahant Swmai Maharaj.
- Attended Advance Mediation silence course for the 6th time.
- Visited pilgrim places.
- Made resolution at Trichi for daily Padma-Saadhana (sequence of Yogaasanaa) to develop navel region like Lord Vishnu (Padma-Naabh).
- Made resolution to read more about knowledge sessions and have more devotion in life at Prayaag Raaj Allahabad.
- Wonderful Darshan of Lord Krishna at Udupi, Sakshi Gopal and ShamaLaji.
- Enjoyed trip to Belur, Kolkota and Puri. Also to Mathura, Delhi Akshardham, Banaras (Kashi), Ayodhya and Chhapaiya.
- Re-insure my commitment for daily Sudarshan Kriya and fortnightly fast on Ekaadashi.
Social Media:
- Opened account at Github and contributed first script about "customized bulk SMS".
- Rejuvenate my personal blog with more technical content and much more in pipeline. Stay tuned.
Learning:
- Participated at HackIII event in office and successfully demonstrated home-automation related use cases using Raspberry Pi and Amazon Alexa.
- Completed certification course on "Machine Learning" ahead of time. It is the most popular course on coursera by Andrew NG.
- Attended several meetups on Kubernets, Machine Learning, Blockchain, Software architecture etc.
- Also attended Developer Connect 2017 event by NVIDIA and FOSS 2017 event
- Study/Refresh security related fundamentals about PKI, ECC, CA etc.
- Refresh C++ OOPs fundamentals.
- Analyzed few interesting puzzles about Machine Learning and Artificial Intelligence on Kaggale
Public Speaking:
- Talked for about an hour on "Introduction to Machine Learning" at meetup. Here is the video link.
- Talked about "Importance of Knowledge" at a local Satsang.
Sanskrit Promotion:
- Attended 3-days all India volunteer meet at Udupi in the presence of Honorable speaker of Parliament Ms. Sumitra Mahajan.
- Encouraged school students for Sanskrit by solving their doubts and also promoted Sanskrit to general public.
- Posted about "Science in Sanskrit" at Facebook and few WhatsApp groups.
- My efforts to promote Sanskrit are well-recognized by my employer Aricent on Intranet homepage.
Family and Friends:
- Visited native place and enjoyed the trip with family / friends.
- Few planned meetings with friends are replaced with long phone calls.
Entertainment:
- Enjoyed videos CDs and my new headphone.
2018:
New hope, confidence to move forward, progress in spiritual front, personal front and professional front in this digital era.