Mapping New Zealand s Broadband Infrastructure. Sebastian Castro, NZRS Ltd APRICOT Auckland 2016

Transcription

1 Mapping New Zealand s Broadband Infrastructure Sebastian Castro, NZRS Ltd APRICOT Auckland 2016

2 Some Background 2

3 NZRS Formerly.nz Registry Services Provider of: critical Internet infrastructure, and; authoritative Internet data Operate the.nz namespace Registry functions DNS operations Operate public services NTP server network RPKI validator OpenPGP Key Server 3

4 Telecommunications in New Zealand 4

5 NZ Broadband Penetration Household sizes AUS = 2.7 NZ = 2.7 US = 2.6 Source: OECD Broadband Portal 5

6 Key Events 2004 TelecomNZ launches first home DSL service 256Kbps 10GB cap Government mandates Telecom must wholesale an unbundled bitstream (not UCLL) Comprehensive review of telecommunications, unbundled local loop, structural separation of Telecom. 2008/2009 FTTH roll out announced to 75% of the population via the Ultrafast Broadband Programme (UFB) 6

7 Key Events 2011 Full separation of Telecom into wholesale and retail Rural Broadband Initiative (RBI) rollout begins. xdsl and fixed wireless to the remaining 25% (funded via industry levy) Fibre roll out begins 2014 Extension of UFB to 80% of population announced via UFB Extension and improvement of rural coverage via RBI2 announced 7

8 Information Flux Things changing Fibre deployment Copper cabinet upgrades New cellular towers New copper cabinets Cellular upgrades Aggressive wireless deployment by regional wireless networks 8

9 Infrastructure Competition Fibre Wireless Cable - HFC ADSL VDSL Cellular 9

10 Connection and Usage Growth Large ISPs market fibre plans Netflix and Lightbox offers in the market Source: Chorus Market and Insight 10

11 Changes in Rural Broadband Source: Chorus 11

12 Broadband Mapping We ve pulled together a number of geospatial and temporal-spatial data from networks within New Zealand Collected some Created some Curate some Augment with other data layers used in the National Broadband Map 12

13 What do we do with this data? Consumer focussed broadband availability tool A data service Opportunities for research Technical Policy 13

14 National Broadband Map broadbandmap.nz 14

15 15

16 Visually Represent Broadband Coverage and Timing 16

17 Also provide more meaningful textual Information 17

18 18

19 Some interest Released July New Zealand is small country 60,000 visits in the first two hours 150,000 visits to the site since launch Lead tech story on major news sites ~4500 visits during December 2015 ~5500 visits during January

20 20

21 Various Services AddressFinder Geocoding of addresses Koordinates Vector query Web Map Tile Services (WMTS) NZRS Augments Koordinates Data with stuff we know 21

22 Address Finder Converts an address to an XY coordinate Based off of authoritative NZ address data Accessed via a javascript widget 22

23 Point in Polygon Query Given a particular coordinate, find if intersects a network we hold data on Data service: data.nzrs.net.nz 23

24 Lots of Networks to Query Multiple networks are available at different points Aggregated at the National Broadband Map by technology ADSL VDSL Fibre Wireless Cable (HFC) 24

25 Networks Available Returned From this we can display what is available and; We can tell leaflet.js to pull tiles in from the tile service 25

26 Map Tile 26

27 Sourcing the Data 27

28 The Data Over 20 providers of data Data is coverage area, not statistical areas We work with the providers to understand the data, and; Help them generate the data if required 28

29 How do we get the data? Ask nicely. Don t misrepresent the providers. Long game It took a good year to get most of them Launching broadbandmap.nz increased enthusiasm to participate. Support from industry is very important 29

30 Feedback Loops We have helped improve some suppliers data from issues we notice. Lots of eyeballs means a bit more motivation to get things right from some providers. We get better data as a result. This will only continue. 30

31 Wireless Propagation Data 31

32 Wireless Networks in NZ There are a number of wireless networks in New Zealand. Of size is a reasonable estimate Typically filling a rural and remote niche and specific applications Smaller operations Know their networks well Communicating coverage has been problematic Where coverage does exist it is often in non GIS formats 32

33 A couple of approaches we took Converting images geo-referenced with KML to Shapefiles, useful for outputs from: RadioMobile TowerCoverage.com Generating coverage using elevation data and Longley Rice Prediction Model. Wavetrace 33

34 Wavetrace Longley-Rice based coverage prediction 34

35 INPUTS Digital elevation model* Network details* Latitude* Longitude* Antenna height above ground level* Frequency (MHz)* Power (EIRP)* Polarisation Bearing Horizontal beam width Vertical beam width Antenna downtilt Clutter** Receive antenna height above ground level** * Mandatory input ** Constant at present 35

36 Wavetrace Output Coverage 36

37 Analysis Examples 37

38 Identifying True Extent of Service Finding broadband and broadband blackspots Identifying underserved customers Informing public policy Quantifying availability by bandwidth and technology 38

39 Visual Representation You can style geographic data with a simple styling language - CartoCSS It s supported by many applications and services As we have coverage we can style where we don t have coverage (broadband blockspots) 39

40 Broadband Blockspot Styling Using CartoCSS 40

41 Underserved costumers In Taranaki addresses with wireless but no 5 Mbps+ copper based service How Coverage data from NZRS Address points from LINZ PostGIS 41

42 Public Policy Example The data service was used by regional authorities in New Zealand to respond to central government funding initiatives. Specifically in response to central government funding for FTTH deployment (UFB) and rural broadband extension (RBI). Network coverage could be integrated into their GIS systems. Maps for public consultation could be produced. Network providers could be identified. 42

43 Conclusion From raw data to user friendly application there is a lot of work. Collaboration, Collaboration, Collaboration - its all about working with people. The data allows analysis and this analysis is not yet fully tapped. 43

44 Questions/Comments? Thanks for your time Contact: 44