The document discusses small cell planning and accuracy for demand estimates. It notes that new small cells should be placed in areas of highest demand like hotspots to maximize capacity. Demand estimates should account for non-uniformity and cluster accuracy below 50 meters. Social data from platforms like Twitter and Foursquare that use Wi-Fi assisted GPS can provide location accuracy below 10 meters to help identify demand hotspots. The document also briefly mentions network design solutions, big data management, visualization, cloud computing capacity, and automation in small cell planning.

1. Small Cell Planning
by Keima Wireless

2. Accuracy for SmallCell Planning
1. Demand 2. Environment
3. Signal 4. Automation

3. 1. Demand
1a. Social 1b. Volume
1c. Mobility 1d. Composite

4. • New small cells should be placed to coincide with areas
of highest demand (e.g. hotspots) to maximise capacity.
• Small cells have radii ~100 m which means their
spectrally efficient 64-QAM zones are ~50 m or less.
• Demand estimates should take account of non uniformity
and be capable of resolving clustering accuracy <50 m.
• Geotagged social data (Twitter, foursquare, …) use Wi-Fi
assisted GPS for location accuracy ~ 10 m or less …
1a. Social Demand

5. 15 kmNew York

6. 8 kmNew York

7. 4 kmNew York

8. 2 kmNew York

9. 1 kmNew York

10. 7 kmLondon

11. 3 kmLondon

12. 1.5 kmLondon

13. 0.8 kmLondon

14. 400 mLondon

15. Facebook, Flickr, foursquare, Google+, Instagram, Twitter, …

16. • Network design solutions
• Big data management, 3D visualisation and analysis
• Cloud compute capacity
• Very large-scale automation
Keima Overture
info@keima.co.uk