Innovative Spectrum Sharing for Affordable Broadband ... · •TVWS broadband networks can...
Transcript of Innovative Spectrum Sharing for Affordable Broadband ... · •TVWS broadband networks can...
Innovative Spectrum Sharing for Affordable Broadband Connectivity
Dr Fisseha Mekuria
Chief Research Scientist, Future Wireless Technologies
CSIR Meraka Institute,
0001 Pretoria
South Africa
Outline
• Spectrum as a Crucial National ICT Resource
• Spectrum Under-utilization & Scarcity
• Standards & Technologies for Effective Spectrum Utilization
• Addressing Digital Inclusion & Affordable Broadband
• TVWS Broadband Network Strategy & Spectrum Databases
• Dynamic Spectrum Management & Technical Regulations
• Smart Spectrum Sharing in Future Wireless 5G Networks
• Conclusion
The Council for Scientific & Industrial Research CSIR at a glance
• The CSIR is a science council, classified as a national
government business enterprise
• The CSIR’s Executive Authority is the Minister of the Department
of Science and Technology
In numbers:~ R2.15 bn
total in SET base
doctoral qualifications
total operating income
Cape Town
Stellenbosch
Port Elizabeth
Durban
Pretoria
Johannesburg
71yrs
1945 - 2016 total staff2411 355
500+Publication equivalents
R2.15 bn 1691
CSIR Units and Research CentresA Multidisciplinary SET R&D
Operating Units
Biosciences
Built Environment
Defence, Peace, Safety and Security
Materials Science and manufacturing
Meraka Institute (Information and Communication Technology)
Modelling and Digital Science
Natural Resources and the Environment
Implementation Unit
National Research Centres
National Laser Centre
Energy Centre
Emerging Research Areas
Mobile Intelligent Autonomous Systems
Nano-Technology
Photonics
Spectrum is a Crucial Resource for ICT Services
Static or Dynamic Spectrum Allocation ?
• RF spectrum is a scarce national resource• All “Usable” RF spectrum have been allocated… Low % of utilization.• White Spaces are “Available/Unused Spectrum” in any RF band of interest
• Dynamic Spectrum Allocation (DSA)• Dynamic Spectrum sharing in: {F, S, T, Pt} dimensions: “Database Assisted”• Future Wireless: Cognitive Radio Technologies is an active R&D area.
TVWS
Spectrum Underutilization in Tygerberg Western Cape
470 478 486 494 502 510 518
-100
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-103:CLIFTON:H:ETV
-96.3:HERMANUS:V:ETV
-91.4:AMANDA GLEN:V:SABC2
-86.3:CERES:V:SABC2-112:MONTAGU:V:SABC2
-94.8:LADISMITH (CAPE):H:SABC2
-64.8:TYGERBERG:V:SABC2-110:AGTER-WITZENBERG:V:SABC1
-107:HEXRIVIER:V:SABC2
-103:CLIFTON:H:SABC1
-101:AURORA:V:SABC2 -96.7:HERMANUS:V:SABC2
-85.8:TABLE MOUNTAIN:V:SABC2
-104:CLIFTON:H:MNET
-92:AMANDA GLEN:V:SABC3
-65.4:TYGERBERG:V:SABC1
-111:AGTER-WITZENBERG:V:SABC2
-77.9:PIKETBERG:H:ETV
0
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inty
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[dB
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Time variation in the signal strength, per frequency:
Frequency, MHz
Tim
e, h
rs
470 478 486 494 502 510 518
Scale of signal strength S [dBm]
-105 -100 -95 -90 -85 -80 -75 -70
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occu
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S(t) >= -95 dBm S(t) >= -90 dBm S(t) >= -80 dBm
Wh
ite
sp
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V C
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The Path to Dynamic Spectrum Sharing
Requires use of spectrum database
Motivation:
Address the need for broadband Connectivity in underserved rural areas.
Meet the large spectrum demand for high bandwidth services in Future Wireless Networks (4G/5G ++)
TVWS, CBRS, SAS,…..
GLSD, WSDB,...
Internet
5 km
8.5 km
Achimota SH School
GTUCAbeka Campus
4 km
2 km
Accra SH School
5 km
Odorgonoi SH School
St. Mary’s SH School
Accra Girls SH School
9 km
BS - GTUC Main Campus
GTUC Tesano (main) Campus
CSIR CHPC
CSIR Geo-location
Spectrum Database
WP 3: Implementation of GTUC TVWS Test-Bed
Lead Partner: GTUC
WP 1: TVWS Capacity Building
Lead Partner: CSIR
WP 2: TVWS Test-bed Implementation Support
Lead Partner: CSIR Supporting Partner: GTUC
WP 4: Hosting of Ghana GSDB
Lead Partner: CSIR
Regional & Global Collaboration on DSA & TVWS Broadband Networks:
Connecting the Next Billion
CSIR GLSD R&D Tech. Collaboration:
• Botswana – BITRI • Ghana – GTUC• Cyprus – EUC • 5GRange - EU-FP7• UDOM –Tanzania• OFCOM – UK• KAIST – KOREA• ANE – Colombia
Improved Network Capacity
Network Capacity Spectral
EfficiencyAmount of Spectrum
Number of Base
Stations= X X
Densification
Spectrum Sharing
Reducing Spectrum Underutilization in South Africa
• RF spectrum is a scarce nationalresource
Shannons Formula:
• Dynamic Spectrum Access (DSA)– Co-existence Toolbox (GL-DSA) and sharing
in: {F, S, T, Pt} dimensions
– Future Wireless: Cognitive RadioTechnologies: Rogue Device Detection & SKAApplication
TVWS
SKA Radio Quite Zone
Bridging the Digital Divide : Spectrum Sharing TVWS
TVWS BS &Antenna
GLSD
Fiber Connection
ICASA
DM WISPs
Industry
Rural SchoolsHealth Clinics
Municipality
Fixed Wireless TVWS BB Network:
Test-bed trial in Western Cape Results:
◦ Connected 10 schools some already had
ADSL connectivity
◦ Served over 16000 students with 4Mbps
(average) ~ 16 Mbps peak
◦ Co-existent Operation for over 2 years without
causing any interference to TV broadcasting
TVWS network for M2M & IoT
TVWS Network :
Ghana, Accra – GTUC
Botswana, BITRI
Dynamic Spectrum Sharing Standards:Ofcom Lead Spectrum Database Qualification
Development of Spectrum
Toolboxes, Standards, Tech
Regulation & Policy:
Database Assisted
Spectrum Sharing to
enable TVWS
broadband networks.
Reconfigurable Radio
Devices & Interference
mitigation for Co-
existence WSD, PMSE
Spectrum Toolboxes
FutureWirelessNetworks
A TVWS Eco-system & DSS Regulation
https://www.icasa.org.za/uploads/files/Regulations-on-the-use-of-Television-White-Spaces-2018.pdf
CSIR Supporting ICASA &
Global Regulators:
ICASA DSS Regulation :
March 2018:
National Regulatory Authority
Private GLSD Service Providers
Reconfigurable WS Network Devices
WS Network Admin & WISP Providers
Supporting Telecom Regulators on DSS Policy:
Dynamic Spectrum Sharing (DSS) Technical Regulation Tutorial (GWS-2017)
Resource Constrained Telecom Regulatory Authorities.
Smart Spectrum Sharing: Changing Spectrum Scarcity to Abundance.
Spectrum Toolboxes for Interference Avoidance & Co-existence.
Harmonisation of DSS rules along country boundaries and ITU standards.
TVWS Technology Standards : IEEE 802.11xx, ETSI-WSR,
How to Avoid Roadblocks by Incumbents & Meet the Affordable Broadband Need
Future Wireless Spectrum Resource Management & Cognitive Radio Systems
Spectrum Sharing in Future Wireless Networks
• “What happens when hundreds of radios, each with their own waveforms,signal processing and distinct decision-making engines, occupy the samespectrum?”……… DARPA SC2 Challenge
• A question suitable to solve for AI & Machine learning techniques.
• Re-imagining the Spectrum Landscape without predetermined “Lanes”through using Machine learning, AI and Software Defined Radio (SDR)Technologies.
• Radio systems autonomously and collaboratively self-organize, self-govern and self-optimize the spectrum’s usage.
Conclusion & Summary
• TVWS broadband networks can complement existing mobile & wirelessnetworks to provide affordable broadband to underserved regions.
• TVWS is the first phase of a flexible and smart spectrum sharing wirelessnetworks to come.
• Dynamic spectrum sharing (DSS) & regulatory toolboxes are maturing andnumber of standards are emerging.
• CSIR is ready to support global telecom regulators in addressing theregulatory bottleneck associated with DSS & TVWS.
• Intensive R&D in AI, machine learning, SDRs in Future Wireless Networks.
There Are NO Passengers In the Space Ship Earth ;
We are all Crews !....M. Mcluhan
Gracias ,…Thank You,…Ndiabulela,…Ameseginalehu