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AI Driven Wi-Fi for the
Bottom of the Pyramid
BDNOG 17, 12 Dec – 15 Dec 2023
Mainul Hasan Alin, Founder, Janata Wi-Fi
Our Journey
• Built Wi-Fi Cloud that cost 1/10th of a big
vendor enterprise WIFI system.
• Innovated in distribution, partnered with ISPs,
DFS and Merchant networks.
• Innovated on Business Model, Advertisement
Based Free Wifi.
• Innovated on edge network automation
• Funded by APNIC Grant, Microsoft & Private
Funding
Public Wifi Experiments
• Mixture of Tea Stall, Mudi Dokaan & Bkash Shops
• Device is typically hosted within the shop
• Some of the nodes have very high concurrent usage
• Mobile App based device activation
CASE STUDY:
PERFORMANCE IN RAINKHOLA MIRPUR
• Operates 10 hours a day on average.
• Monthly 1000+ Ad views.
• Monthly 100+ Voucher Sold.
• Merchant gets USD .0025 per Ad view and USD .01 per
voucher.
Internet Connection
• 30-50 Meter Range
• 25 User Capacity
ISP
Operational Challanges
High Reliability Connections are Expensive.
Requires human interventions. Average issue solving
time is 10+ Hours.
Power failure is rampant with high cost of fuel.
Expensive Access Points.
Operation & Management for hundreds of Wifi Zones.
RETAIL CUSTOMER SERVICE CHALLENGES in BANGLADESH
Call
SMS
Digital
Others
• Billing, Package, Inquiry: Take
Note
• Fiber Movement, Bent/Cut:
Physical Support
• Majority, Bandwidth
Related: Remote and
Physical Support
5 minutes to pick up
3 Hours For Remote
Support to Call
10 Hours+ For Physical
Support to Arrive
Call Center Remote Support Physical Support
• Collects Data
• Debugs and Solves
• Or, forwards to Physical Support
• Or, non issue, convinces customer
• Challenges
• Users sometimes cant tell what
is ONU and what's its status.
• Remote access for command
line data collection requires a
bit sophisticated users. Its time
consuming.
30 Minutes For Remote
Support to Collect Data
• Fixes Fiber
• Restart Router, Some Config(Reset,
Change Admin/SSID user pass, wifi
channel, OS upgrade)
• Advice Customer on Changing from
Old Router
• Advice Customer on Placing the
Router from Right Place
• Challenges
• Convincing customer that it’s
a issue with old hardware
• Not many smart support
engineers that can debug
quick.
RETAIL CUSTOMER SERVICE AUTOMATION – Customer Interface
1 Minute to Navigate
2-5 Minute to Collect
Data
2-5 Minutes to
Resolve Issue
Base Architecture
Client APPs
APs
State
Events
Logs
Metrics
Packet
Capture
Topology
Sessions
Data Warehouse
AI/ML Engine
Packet
Metadata
Logs
Topology
Application
Layer Test
Results
Baselining
Anomaly
Detection
Classification
Matching
Root Cause
Analysis
Solution
Suggestion
Auto
Deployment
Confirmation
OLT ONU
BRAS
AI & ML Tools & Techniques
• Anomaly Detection
• For Time Series Data
• First Need to Establish a Baseline,
then look for anomalies
• Large Language Models
• Very Good at explaining
unstructured data.
• Works as a CoPilot to the Network
Support Engineer.
CXM System – Network Co-Pilot
Dashboard Co-Pilot
For Visual
Queues
As an Issue
Debugging
Assistant
Future Directions
• Data Collection from Non Conventional Agents.
• Work on Automated Solution Deployment and Confirmation
• Machine learning
• Automated issue detection and fixing
• Wifi Sensing
• Challenge: AI Talent is Expensive
Thank You
Contact us
mainul@janatawifi.com

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AI Driven Wi-Fi for the Bottom of the Pyramid

  • 1. AI Driven Wi-Fi for the Bottom of the Pyramid BDNOG 17, 12 Dec – 15 Dec 2023 Mainul Hasan Alin, Founder, Janata Wi-Fi
  • 2. Our Journey • Built Wi-Fi Cloud that cost 1/10th of a big vendor enterprise WIFI system. • Innovated in distribution, partnered with ISPs, DFS and Merchant networks. • Innovated on Business Model, Advertisement Based Free Wifi. • Innovated on edge network automation • Funded by APNIC Grant, Microsoft & Private Funding
  • 3. Public Wifi Experiments • Mixture of Tea Stall, Mudi Dokaan & Bkash Shops • Device is typically hosted within the shop • Some of the nodes have very high concurrent usage • Mobile App based device activation CASE STUDY: PERFORMANCE IN RAINKHOLA MIRPUR • Operates 10 hours a day on average. • Monthly 1000+ Ad views. • Monthly 100+ Voucher Sold. • Merchant gets USD .0025 per Ad view and USD .01 per voucher. Internet Connection • 30-50 Meter Range • 25 User Capacity ISP
  • 4. Operational Challanges High Reliability Connections are Expensive. Requires human interventions. Average issue solving time is 10+ Hours. Power failure is rampant with high cost of fuel. Expensive Access Points. Operation & Management for hundreds of Wifi Zones.
  • 5. RETAIL CUSTOMER SERVICE CHALLENGES in BANGLADESH Call SMS Digital Others • Billing, Package, Inquiry: Take Note • Fiber Movement, Bent/Cut: Physical Support • Majority, Bandwidth Related: Remote and Physical Support 5 minutes to pick up 3 Hours For Remote Support to Call 10 Hours+ For Physical Support to Arrive Call Center Remote Support Physical Support • Collects Data • Debugs and Solves • Or, forwards to Physical Support • Or, non issue, convinces customer • Challenges • Users sometimes cant tell what is ONU and what's its status. • Remote access for command line data collection requires a bit sophisticated users. Its time consuming. 30 Minutes For Remote Support to Collect Data • Fixes Fiber • Restart Router, Some Config(Reset, Change Admin/SSID user pass, wifi channel, OS upgrade) • Advice Customer on Changing from Old Router • Advice Customer on Placing the Router from Right Place • Challenges • Convincing customer that it’s a issue with old hardware • Not many smart support engineers that can debug quick.
  • 6. RETAIL CUSTOMER SERVICE AUTOMATION – Customer Interface 1 Minute to Navigate 2-5 Minute to Collect Data 2-5 Minutes to Resolve Issue
  • 7. Base Architecture Client APPs APs State Events Logs Metrics Packet Capture Topology Sessions Data Warehouse AI/ML Engine Packet Metadata Logs Topology Application Layer Test Results Baselining Anomaly Detection Classification Matching Root Cause Analysis Solution Suggestion Auto Deployment Confirmation OLT ONU BRAS
  • 8. AI & ML Tools & Techniques • Anomaly Detection • For Time Series Data • First Need to Establish a Baseline, then look for anomalies • Large Language Models • Very Good at explaining unstructured data. • Works as a CoPilot to the Network Support Engineer.
  • 9. CXM System – Network Co-Pilot Dashboard Co-Pilot For Visual Queues As an Issue Debugging Assistant
  • 10. Future Directions • Data Collection from Non Conventional Agents. • Work on Automated Solution Deployment and Confirmation • Machine learning • Automated issue detection and fixing • Wifi Sensing • Challenge: AI Talent is Expensive