This document provides an overview of ITU-T SG15 Q4, which covers broadband access over metallic conductors including xDSL and G.(mg)fast technologies. It discusses the recent and ongoing enhancements to VDSL2 and G.fast, including higher data rates and longer reach for VDSL2. It also introduces the emerging G.mgfast project. The key aspects and functionalities of G.fast are summarized, including its use of time division duplexing, vectoring, error correction, and power saving modes. Discontinuous operation and dynamic time assignment are also covered.
This is presentation by Keysight technologies on 5G NR Dynamic Spectrum Sharing. Very well articulated presentation as always by Keysight. Details on the 3GPP support for NR DSS implementation in LTE bands in Rel 15 and Rel 16.
This is presentation by Keysight technologies on 5G NR Dynamic Spectrum Sharing. Very well articulated presentation as always by Keysight. Details on the 3GPP support for NR DSS implementation in LTE bands in Rel 15 and Rel 16.
LTE (Long-Term Evolution) is a fourth-generation (4G) wireless standard that provides increased network capacity and speed for cellphones and other cellular devices compared with third-generation (3G) technology.
LTE is a technology for wireless broadband communication for mobile devices and is used by phone carriers to deliver wireless data to a consumer's phone. Over the previous iteration of 3G, LTE provided high speed, higher efficiency, peak data rates and flexibility in bandwidth and frequency.
LTE offers higher peak data transfer rates than 3G, up to 100 Mbps downstream and 30 Mbps upstream. It provides reduced latency, scalable bandwidth capacity and backward compatibility with the existing Global System for Mobile communication (GSM) and Universal Mobile Telecommunications Service (UMTS) technology. The subsequent development of LTE-Advanced (LTE-A) yielded peak throughput on the order of 300 Mbps.
Although LTE is commonly referred to as 4G LTE, LTE is technically slower than 4G but still faster than normal 3G. For this reason, LTE may also be called 3.95G. While LTE speeds reach 100 Mbps, true 4G offers speeds up to 1,000 Mbps. However, different versions of LTE meet 4G speeds, such as LTE-A.
LTE eventually became universally available as a standard that is still commonly available in areas that don't yet have 5G.
LTE has a direct role in the development of the current 5G standard, called 5G New Radio. Early 5G networks, referred to as non-standalone 5G (NSA 5G), require a 4G LTE control plane to manage 5G data sessions. NSA 5G networks can be deployed and supported by the existing 4G network framework, lowering capital and operating expenses for operators rolling out 5G
Do we need a wakeup call to keep driver-less cars protected? ITU
Do we need a wakeup call to keep driver-less cars protected? This presentation was given at a Symposium on the Future Networked Car 2018 (FNC-2018) in Geneva, Switzerland on 8 March 2018. Find more information on this symposium here: https://www.itu.int/en/fnc/2018/Pages/programme.aspx
Global Virtual Mobile Network for Car manufacturersITU
This presentation discussed Global Virtual Mobile Network for Car manufacturers. The presentation was given at was given at a Symposium on the Future Networked Car 2018 (FNC-2018) in Geneva, Switzerland on 8 March 2018. Find more information on this symposium here: https://www.itu.int/en/fnc/2018/Pages/programme.aspx
Coordination of Threat Analysis in ICT EcosystemsITU
This presentation discussed Coordination of Threat Analysis in ICT Ecosystems. The presentation was given at ITU Workshop on 5G Security in Geneva, Switzerland, on 19 March 2018. Find more information about this workshop here: https://www.itu.int/en/ITU-T/Workshops-and-Seminars/20180319/Pages/programme.aspx
Learning from the past: Systematization for Attacks and Countermeasures on Mo...ITU
This presentation discussed Learning from the past: Systematization for Attacks and Countermeasures on Mobile Networks. The presentation was given at ITU Workshop on 5G Security in Geneva, Switzerland, on 19 March 2018. Find more information about this workshop here: https://www.itu.int/en/ITU-T/Workshops-and-Seminars/20180319/Pages/programme.aspx
Trustworthy networking and technical considerations for 5GITU
This presentation discussed Trustworthy networking and technical considerations for 5G. The presentation was given at ITU Workshop on 5G Security in Geneva, Switzerland, on 19 March 2018. Find more information about this workshop here: https://www.itu.int/en/ITU-T/Workshops-and-Seminars/20180319/Pages/programme.aspx
The role of Bicycles and E-Bikes in the future development of Intelligent Tra...ITU
This presentation discussed the role of Bicycles and E-Bikes in the future development of Intelligent Transport Systems. It was given at was given at a Symposium on the Future Networked Car 2018 (FNC-2018) in Geneva, Switzerland on 8 March 2018. Find more information on this symposium here: https://www.itu.int/en/fnc/2018/Pages/programme.aspx
This presentation discusses connected cars & 5G and was given at a Symposium on the Future Networked Car 2018 (FNC-2018) in Geneva, Switzerland on 8 March 2018. Find more information on this symposium here: https://www.itu.int/en/fnc/2018/Pages/programme.aspx
This presentation discusses 5G for Connected and Automated Driving and was given at a Symposium on the Future Networked Car 2018 (FNC-2018) in Geneva, Switzerland on 8 March 2018. Find more information on this symposium here: https://www.itu.int/en/fnc/2018/Pages/programme.aspx
This presentation discusses securing the future of Automotive and was presented at a Symposium on the Future Networked Car 2018 (FNC-2018) in Geneva, Switzerland on 8 March 2018.
Find more information on this symposium here: https://www.itu.int/en/fnc/2018/Pages/programme.aspx
The Connected Vehicle - Challenges and Opportunities. ITU
This presentation discusses challenges and opportunities of the connected vehicle. The presentation was given at a Symposium on the Future Networked Car 2018 (FNC-2018)
held in Geneva, Switzerland on 8 March 2018. More information on the symposium can be found here: https://www.itu.int/en/fnc/2018/Pages/default.aspx
Machine learning for decentralized and flying radio devicesITU
This presentation discusses matters of machine learning for decentralized and flying radio devices. This presentation was given during the ITU-T workshop on Machine Learning for 5G and beyond, held at ITU HQ in Geneva, Switzerland on 29 Jan 18. More information on the workshop can be found here: https://www.itu.int/en/ITU-T/Workshops-and-Seminars/20180129/Pages/default.aspx
Join our upcoming forums and workshops here: https://www.itu.int/en/ITU-T/Workshops-and-Seminars/Pages/default.aspx
https://www.slideshare.net/ITU/ai-and-machine-learning
This presentation discusses matters of AI and machine learning. This presentation was given during the ITU-T workshop on Machine Learning for 5G and beyond, held at ITU HQ in Geneva, Switzerland on 29 Jan 18. More information on the workshop can be found here: https://www.itu.int/en/ITU-T/Workshops-and-Seminars/20180129/Pages/default.aspx
Join our upcoming forums and workshops here: https://www.itu.int/en/ITU-T/Workshops-and-Seminars/Pages/default.aspx
This presentation discusses matters of machine learning for 5G and beyond, towards a reliable and efficient reconstruction of radio maps. This presentation was given during the ITU-T workshop on Machine Learning for 5G and beyond, held at ITU HQ in Geneva, Switzerland on 29 Jan 18. More information on the workshop can be found here: https://www.itu.int/en/ITU-T/Workshops-and-Seminars/20180129/Pages/default.aspx
This presentation consist of models and explanations of deep learning, artificial intelligence and today's systems and communications. This was presented at the ITU-T Workshop on Machine Learning for 5G held at the ITU HQ in Geneva, Switzerland on 29 January 2018. More information on this workshop can be found here: https://www.itu.int/en/ITU-T/Workshops-and-Seminars/20180129/Pages/default.aspx
Driven by the rapid progress in Artificial Intelligence (AI) research, intelligent machines are gaining the ability to learn, improve and make calculated decisions in ways that will enable them to perform tasks previously thought to rely solely on human experience, creativity, and ingenuity. As a result, we will in the near future see large parts of our lives influenced by AI.
AI innovation will also be central to the achievement of the United Nations' Sustainable Development Goals (SDGs) and will help solving humanity's grand challenges by capitalizing on the unprecedented quantities of data now being generated on sentiment behavior, human health, commerce, communications, migration and more.
With large parts of our lives being influenced by AI, it is critical that government, industry, academia and civil society work together to evaluate the opportunities presented by AI, ensuring that AI benefits all of humanity. Responding to this critical issue, ITU and the XPRIZE Foundation organized AI for Good Global Summit in Geneva, 7-9 June, 2017 in partnership with a number of UN sister agencies. The Summit aimed to accelerate and advance the development and democratization of AI solutions that can address specific global challenges related to poverty, hunger, health, education, the environment, and others.
The Summit provided a neutral platform for government officials, UN agencies, NGO's, industry leaders, and AI experts to discuss the ethical, technical, societal and policy issues related to AI, offer reccommendations and guidance, and promote international dialogue and cooperation in support of AI innovation.
Please visit the AI for Good Global Summit page for more resources: https://www.itu.int/en/ITU-T/AI/Pages/201706-default.aspx
If you would like to speak, partner or sponsor the 2018 edition of the summit, please contact: ai@itu.int
Join ITU today and apply for an International Mobile Subscriber Identity (IMSI) ranges signified by the shared Mobile Country Code ‘901’, which has no ties to any single country. ‘Global SIMs’ are important for enabling cross-border global M2M & IoT connectivity, helping manufacturers to build once and sell anywhere.
For more information contact: membership@itu.int
Report on the progress made by least developed countries towards universal + affordable Internet with recommendations to achieve Sustainable Development Goal 9C https://www.itu.int/en/ITU-D/LDCs/Pages/ICTs-for-SDGs-in-LDCs-Report.aspx
Collection Methodology for Key Performance Indicators for Smart Sustainable C...ITU
These indicators have been developed to provide cities with a consistent and standardised method to collect
data and measure performance and progress to:
achieving the Sustainable Development Goals (SDGs)
becoming a smarter city
becoming a more sustainable city
The indicators will enable cities to measure their progress over time, compare their performance to other
cities and through analysis and sharing allow for the dissemination of best practices and set standards for
progress in meeting the Sustainable Development Goals (SDGs) at the city level.
For more information visit: https://www.itu.int/en/ITU-T/ssc/united/Pages/default.aspx
Enhancing innovation and participation in smart sustainable citiesITU
The United for Smart Sustainable Cities (U4SSC) initiative was launched by the International Telecommunication
Union (ITU) and United Nations Economic Commission for Europe (UNECE) in May 2016. The first phase of this initiative, which was conducted via three Working Groups, was completed in April 2017. This flipbook brings together the work done in Working Group 3 (WG3) for Enhancing Innovation and Participation in Smart Sustainable Cities. WG3 is formed of a group of global experts and practitioners to facilitate knowledge sharing and partnership building on smart cities, with the aim of formulating strategic guidelines and case studies for enhancing innovation and participation in smart sustainable cities. More specifically, WG3 addresses various topics on smart governance, smart economy and smart people with the aim of achieving strong and symbiotic governance, economics and society.
For more information visit: https://www.itu.int/en/ITU-T/ssc/united/Pages/default.aspx
Implementing SDG11 by connecting sustainability policies and urban planning p...ITU
In this guidance document, we study the advantages of using ICT technologies to support the implementation
of the Sustainable Development Goals, namely SDG 11, by facilitating the missing linkages that exist between
sustainability policies and urban-planning practices through digitally-enabled urban actions. These urban
actions will be shaped as recommendations that will put forward physical and non-physical advice to help
the user improve the implementation of both SDG 11 and the New Urban Agenda.
For more information visit: https://www.itu.int/en/ITU-T/ssc/united/Pages/default.aspx
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Overview of ITU-T SG 15 Q4 xDSL and G.(mg)fast
1.
2. Overview of
ITU-T SG15 Q4
xDSL and G.(mg)fast
Hubert Mariotte
ITU-T SG 15 Vice Chairman
hubert.mariotte@orange.com
Slides (Version May 2017) prepared by
Frank Van der Putten
Nokia
frank.van_der_putten@nokia.com
Rapporteur ITU-T Q4/SG15
3. Overview
• About ITU-T SG15 Q4
• xDSL and G.(mg)fast access solutions
• VDSL2 : recent/ongoing enhancements
• G.fast : recent/ongoing/future enhancements
• G.mgfast : emerging new project
4. About ITU-T SG15 Q4
• SG15: Networks, Technologies and Infrastructures for
Transport, Access and Home
• Q4: Broadband access over metallic conductors
• Covers all aspects of transceivers operating over
metallic conductors in the access part of the network
• Projects: xDSL, G.(mg)fast, testing, management
• Main liaisons: ITU-R, ETSI and BBF
• Meets face to face about 6 weeks per year
5. Overview Access Network Solutions
G.fast fills an access technology gap
• Huge gap 100 Mbit/s multi Gbit/s
• Fiber may not always be possible into
the home/apartment
• G.fast supports FTTdp and FTTB
architectures
Short
Long (<6000m)
≤25 Mbit/s
≤150 Mbit/s (17a)
≤400 Mbit/s (35b)
≤ 5..10 Gbit/s
CO
CPE
CPE
CPE
CPE
CPE
VDSL2
ADSL2plus
G.fast
Very short TP or coax (<400m)
≤ 1..2 Gbit/s
Fiber Copper
G.mgfast
No driling
No digging (<100m? TP or coax)
CPE
CPE
(<2500m)
6. VDSL2
• What is in the Recommendations (G.993.2/5, G.998.4)
– Aggregate data rates up to 150 Mbit/s (17a), 250 Mbit/s (30a), 400 Mbit/s (35b)
– Operates over loops up to 2500m of 0.4mm copper
– PHY layer retransmission and crosstalk cancellation (vectoring)
– Down/up asymmetry ratio depends on band plan used (997 / 998 types)
– Low power mode (reduced data rate and spectrum when user traffic is low)
• Ongoing work (targets consent in June 2017)
– New Annex on mitigation of strong FEXT (operation in high crosstalk cables)
• Defines a TIGAV procedure to adapt TX PSD under varying high FEXT levels
– Long Reach VDSL2 (targets 10 Mbit/s over 4km of 0.5mm copper)
• Defines a line probing during initialization to adapt TX power/PSD to the loop length
• Uses ADSL2plus techniques (e.g., TEQ) for best performance on longest loops
7. Key Aspects of G.fast
• Aggregate service rate (up+down) targets (over 0.5mm copper)
– 900 Mbit/s at 100m
– 600 Mbit/s at 200m
– 300 Mbit/s at 300m
– Operates up to 400m
• Operates over twisted pair, quad cables, and also coax.
• Customer Self-Installable CPE
• Low power consumption
• Robust with high immunity to disturbers
• Crosstalk cancellation for operation in multi-pair cable
• Down/up asymmetry ratio is static configuration of TDD split
• NTR and Time-of-Day support (expected accuracy < 50ns)
Far exceeding initial
ITU-T performance targets
8. Key aspects of FTTdp
• Reverse power feeding
(RPF) the DPU from the
user premises.
• Persistent Management
Agent (PMA) acts as
management proxy in
the event the DPU loses
power.
9. Using TDD as a Duplexing Scheme
Frequency Division Duplex (FDD)
e.g. ADSL2/2plus, VDSL2
Simple transceiver (only one iFFT/FFT)
Simplifies analogue front end
Easily supports low-power states
Discontinuous operation allows flexible
trade-off of throughput vs. power
consumption
Flexible US/DS data rate asymmetry
(no bandplans)
Synchronization of all transmitters required
Guard time between downstream and
upstream required
Larger round trip time
Requirement to buffer data
No spectrum compatibility with ADSL/VDSL
but can coexist (see further)
frequency
Tx
Pwr
Separated US
& DS bands
US DStime
Tx
Pwr
Simultaneous
US & DS
transmission
frequency
Tx
Pwr
US & DS use the
same spectrum
time
Tx
Pwr
US & DS use
distinct time slots
Time Division Duplex (TDD) e.g. G.fast
10. G.fast VDSL2
Modulation DMT (up to 14 bits/Hz) DMT (up to 15 bits/Hz)
Bandwidth (MHz) 106, 212 8, 12, 17, 30, 35
Max Transmit Power (dBm) 2 (coax) and 4 - 8 (TP) 11.5 - 20.5 (TP)
Duplexing TDD FDD
Distance < 250m (400m) TP < 1000m (2500m) TP
Bit Rate (up+dn) (Mbit/s) < 1000 (106), <2000 (212) < 400(35b), < 150(17a)
One way latency < 1 ms < 10 ms
Vectoring Yes Optional
Up/Down Rate Ratio Provisioned, dynamic Fixed by bandplan
Retransmission Yes Optional
Coding Interleaved RS/Trellis Interleaved RS/Trellis
Full init time (single line) 20 seconds (typical) 120 seconds (typical)
G.fast Characteristics
11. Coexistence Issue with ADSL/VDSL
US DS
CPE
CPE
NEXT
VDSL2
G.fast
CPE
CPE
FEXT
VDSL2
G.fast
f
Tx
Pwr
f
Tx
Pwr
f
Rx
Pwr
f
Rx
Pwr
f
Tx
Pwr
f
Rx
Pwr
f
Tx
Pwr
RX is disturbed by time
variant NEXT
f
Rx
Pwr
RX is disturbed by time
variant FEXT
12. Coexistence Issue with ADSL/VDSL
• FEXT is one of the main impairment sources for xDSL systems
• NEXT is the main coexistence issue between G.fast and xDSL
• Example shows how an attenuated xDSL downstream is disturbed
by time variant NEXT from G.fast on the remote side
• Depending on launch points NEXT may be an issue on both sides
and transmission directions
US DS
CPE
CPE
NEXT
VDSL2
G.fast
f
Tx
Pwr
f
Tx
Pwr
f
Rx
Pwr
RX is disturbed by time
variant NEXT
f
Rx
Pwr
13. Spectral Compatibility
NodeExchange HomeDistribution
Point (dp)
VDSL2
&
G.fast
Vectored VDSL2
Launched Here
G.fast
Launched Here
VDSL2
17
Frequency (MHz)
VDSL 17a
Transmit
Spectrum
Line 2
> 17
Frequency (MHz)
G.fast
Transmit
Spectrum
Line 3
106
Crosstalk 106Crosstalk
17
Frequency (MHz)
VDSL 17a
Transmit
Spectrum
Line 1
106
Crosstalk
>17
Frequency (MHz)
G.fast
Transmit
Spectrum
Line 4
106
Crosstalk
14. G.fast Key Functionalities (1/5)
• Duplexing method: Time Division Duplex (TDD)
• Bandwidth:
– 106 MHz profile
– 212 MHz profile in Amendment 3 (approved 04/2017)
– Configurable start and stop frequencies, PSD shaping and
notching
• Configurable start frequency and PSD shaping allows for
coexistence with VDSL2 and a migration path to G.fast only
• PSD notching allows for coexistence with various protected
services (e.g., aerial broadcast, amateur radio).
15. G.fast Key Functionalities (2/5)
• Modulation:
– Discrete multi-tone (DMT)
– 2048 / 4096 subcarriers for 106 / 212 MHz
– Subcarrier spacing 51.75 kHz
– Default symbol rate 48.00 kHz
– Bit loading of ≤12 bits/subcarrier
• Optional ≤14 bits/subcarrier
– Maximum transmit power of 4 dBm
• Max 8 dBm for profile 106b
16. G.fast Key Functionalities (3/5)
• Mandatory support for vectoring
– Far-end self crosstalk (FEXT) cancellation
– Linear pre-coding
• Mandatory PHY layer retransmission
– Improved robustness against impulsive noise (up to 10 ms)
without loss of data while maintaining low latency
• Forward error correction (FEC)
– Trellis code + Reed Solomon of VDSL2 (G.993.2) with the
retransmission block (DTU) interleaving defined in G.998.4
17. G.fast Key Functionalities (4/5)
• Provides transport of network timing (8 kHz NTR)
• Support for Time of Day (ToD) – IEEE 1588
– In order to support services that require accurate ToD at
both sides of the G.fast link to operate the higher layers of
the protocol stack (e.g., cellular backhaul)
• Various online reconfiguration methods
– SRA, RPA and FRA for slow and fast noise changes
– TIGA for transmit PSD adjustments under varying FEXT
18. Robust Management Channel (RMC)
• Robust Management Channel (RMC) is used to convey time critical management
and control information
• Up to 64 RMC bytes sent per 0.75ms TDD frame (up to 680 kbit/s)
• Strong FEC with 16 bytes per RMC frame, dedicated tones, low bitloading
• Much more robust than data communication
• No direct NACK/ACK of RMC messages (repetition, SFDC)
• Key fields
– ACK bit-map
– TXOP data
– Expected transmission time
– DTU synchronization data
– Current active bit-loading table
– Discontinuous transmission configuration
– FRA, Reply to SRA
– Buffer fill information
19. G.fast Key Functionalities (5/5)
• Power saving by discontinuous operation in L0 link state
– Transmit only SYNC, RMC and symbols containing user data
• Low power link state L2.1 (mains and battery)
– Transmit only SYNC and RMC symbols
– Low data rate while maintaining QoS (e.g., for voice call).
• Low power link state L2.2 (battery only)
– Transmit only SYNC and some RMC symbols
– Keep-alive user data only, no QoS requirements
• Link transitions driven from system level
– Based on user traffic and RPF BATTERY status
– Cross-layer coordination (system L2+ to PHY)
20. On-line Reconfiguration (OLR)
• Seamless rate adaptation (SRA): used to reconfigure the total data rate by
modifying the data frame parameters, modifying the bit loadings and gains, and
modifying the DTU size.
• Bit Swapping: used to reallocate the bits and transmit power among the allowed
sub-carriers without changing the bit rate.
• Transmitter initiated gain adjustment (TIGA): provides the VCE means to
address changes in the downstream precoded direct channel gain. Used to prevent
violation of the transmit PSD mask as the crosstalk channel matrix changes).
• RMC parameter adjustment (RPA): provides reconfiguration of the RMC
parameters (RMC subcarriers set, bit-loading for RMC subcarriers).
• Fast rate adaptation (FRA): provides fast adaptation of the bit rate. The fast
adaptation of the bit rate may be used to mitigate unexpected SNR loss in cases of
abrupt changes in the channel. It is an RMC-based procedure rather than an eoc-
based procedure.
21. Discontinuous Operation
• For both downstream and upstream, a logical frame is divided into a normal operation
interval (NOI) and a discontinuous operation interval (DOI)
• Timing of transmissions is controlled by the following parameters allowing a flexible
split between NOI and DOI:
– Transmission budget (TBUDGET): Total number of allocated symbols in the combined normal
and discontinuous operation intervals
– TTR: the number of symbols in the normal operation interval
– TA: the number of quiet symbols inserted at the beginning of the discontinuous operation
interval
– TIQ: indicates whether idle or quiet symbols shall be used during the symbol periods of the
discontinuous operation interval allocated for active symbols
• Discontinuous operation can be used in the NOI or DOI !
• Discontinuous operation is more challenging for vectoring
Line n rmc
NOI DOI
Upstream rmc
Logical Frame (TF)
TTR=5 TA=2
TBUDGET=8
23. DRA and Upstream
Dynamic Resource Reports
• In order to schedule
upstream resources the
DRA block needs
information about the
buffer fill state
• Buffer fill information
can be requested via
FTU-R
• Reporting is done in
RMC per traffic class
• DRA block schedules
transmit resources
L2+
FTU-O-1
FTU-O module contains N transceivers,
FTU-O-n, n=1..N
DRA
FTU-O module
U-O
γO
DRA-m/
PCE-m
STREAMds-1
FCTLds-1
TXOPds-1
TXOPus-1
STREAMus-1
DRRds-1
DRRus-1
PCEEnvironmental
conditions, e.g.,
temperature(s)
FCTLus-1
STREAM-BC-n
DRRus-n
STREAMus-n
FCTLus-n
FTU-R-n
n=1..N
L2+
U-R
γR
STREAMds-n
NT-n
24. Operation over coax
• Approved April 2017 as part of G.9701 Annex X
– Operation without coordination across lines
– 106 and 212 MHz profiles with 2 dBm max TX power
• Use case:
– G.fast overlay on existing in-building SAT TV coax distribution
25. Dynamic Time Assignment (i-DTA)
• Approved April 2017 as part of G.9701 Annex T/X
– Operation without coordination across lines (i-DTA)
• Concepts:
– AN/DPU system monitors up/down throughput needs
– Requests FTU-O to change the TDD up/down ratio
– FTU-O and FTU-R implement the change within 12 msec
– Ratio between 5/30 and 30/5 with default 7/28
• Use case:
– Improve end user experience (QoE) by dynamically allocating the
aggregate capacity to the direction that best serves the instantaneous
needs of the user’s applications.
26. NT Software Download
• Approved April 2017 as G.9701 Annex S
– Software download from DPU over the G.9701 eoc to NT
• Concepts:
– NT software image gets downloaded to the AN/DPU
– DPU forwards the NT software image to the NT over the G.9701 eoc
– Typical software image takes 1-2 sec to send over eoc
– Protocol based on the G-PON OMCI ONU software download
– Managed objects defined in support of YANG data model (TBD in BBF)
• Use case:
– NT is simple device (SFP or PHY adapter without IP address)
27. Future G.fast work
• Impulse noise monitoring (*)
– To facilitate characterization and source identification
• Metrics for service rate estimation (*)
– Attainable throughput under current noise conditions
• Improved UPBO (*)
– Frequency dependent UPBO, more advanced mechanisms
• Coordinated DTA
– Dynamic change of up/down split over the vectored group
• Line reconfiguration without retrain
– Selected set of configuration parameters (e.g., SNRM, MAXNDR)
• Short TDD frames for delay sensitive applications
– Radio fronthaul, CPRI transport, Ethernet backhaul
– Assessing the requirements/need, liaising with 3GPP
(*) Targets consent in June 2017
28. Emerging G.mgfast
Multi-Gigabit FAST
– New project to address functionality beyond G.fast
• Profiles beyond 212 MHz (e.g., 424 MHz and 848 MHz)
• Full-duplex operation (echo cancelled mode)
– Targets
• Aggregate data rates of 5 - 10 Gbit/s over single TP/coax.
• Operation over low quality twisted pair and quad,
high quality twisted pair and coaxial cable.
• Consent early 2019.
– Open points under discussion
• Advanced coding (e.g., LDPC)
• Multi-stream support for QoS differentiation / 5G slicing
• Convergence of access and in-home networking
32. PSD Construction Tools
• Subcarrier masking
– Eliminates transmission on one or more subcarriers
– A subcarrier mask (SM) is defined as a number of masked frequency bands (start - stop
subcarrier index)
• Notching of specific frequency bands
– To protect radio services one or more specific frequency bands can be notched
– Notch in the notching mask (NM) in defined start and end subcarrier index
– Within the notched band, all subcarriers shall be turned off and emission shall be at
least 20 dB below the limit mask
• PSD shaping
– Power spectral density (PSD) shaping allows reduction of the transmit PSD mask in some
parts of the spectrum
– PSD shaping mask (PSM) consists of one or more frequency segments. The boundaries
of the segments are defined by set breakpoints
– Transceiver shall support at least 32 PSM breakpoints
33. G.fast Profiles & Limit PSD (G.9700)
• G.9700 contains the
limit mask definitions
for the profiles
– 106 MHz
– 212 MHz
• Current transceiver
specification (G.9701)
only supports the 106
MHz profile
• Max aggregate transmit
power is 4 dBm for 106
MHz profile 106a
• G.9700 provides PSD
construction tools
(masking, notching,
shaping)
G.9700(13)_F7-2
ftr2ftr1
PSD in
dBm/Hz
Frequency
in MHz
−79
−73
−65
−76
106302
G.9700(13)_F7-1
ftr2ftr1
PSD in
dBm/Hz
Frequency
in MHz
−73
−65
−76
302 106
212
34. G.9701 Ref. Model of FTU-O Module
PHY
L2+
FTU-O-1
FTU-O module contains N transceivers,
FTU-O-n, n=1..N
DRA
TCE
VCE
ME
FTU-O module
R/S
U-O
γO
DRA-m/PCE-m TCE-m γ-m ε-m
ε-c-1
ε-1-n
STREAM-BC-1
NTR/ToD
ToD-timingFreq/Time in 1588
Freq/Time from PHY
STREAMds-1
FCTLds-1
TXOPds-1
TXOPus-1
STREAMus-1
DRRds-1
DRRus-1
PCEEnvironmental
conditions, e.g.,
temperature(s)
FCTLus-1
35. TDD Frame Structure
t
t
Downstream Tx
Upstream Tx
Downstream TxDS
US
Upstream Rx
TDD frame (TF)
Downstream Rx Downstream Rx
Tg1'
TpdTpd Tpd Tpd
Tg2
Tpd
Tg2'
Tg1
Mds × Tsymb Mus × Tsymb
• TDD frame lengths (0.145 to 0.875 ms, default 0.75 ms)
– TF = 36 and 23 symbols supported in the main body
– TF = 12 and 7 symbols may be supported in later Amendment
(requirements/need under study, liaison with 3GPP)
36. Superframe Structure
• Superframe lengths (5.75 to 7 ms, default 6 ms)
– MSF = 8 for TF = 36 supported in the main body
– MSF = 12 for TF = 23 supported in the main body
– MSF = 24 for TF = 12 may be supported in an Annex in a future amendment
– MSF = 41 for TF = 7 may be supported in an Annex in a future amendment
• Sync symbol: modulates probe sequences and is used for synchronization and
channel estimation. ToD reference samples are associated with the sync symbol.
TDD sync frame TDD frame
TDD sync frame TDD frame TDD frame TDD frame TDD frame...
TF
TSF = MSF × TF
DS US DS US
DS sync symbol
US sync symbol