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April 2013 doc.: IEEE 802.11- Nov 2013 Dense Apartment Complex Capacity Improvements with Channel selection and Dynamic Sensitivity Control Date: 2013-11.

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Presentation on theme: "April 2013 doc.: IEEE 802.11- Nov 2013 Dense Apartment Complex Capacity Improvements with Channel selection and Dynamic Sensitivity Control Date: 2013-11."— Presentation transcript:

1 April 2013 doc.: IEEE Nov 2013 Dense Apartment Complex Capacity Improvements with Channel selection and Dynamic Sensitivity Control Date: Authors: Graham Smith, DSP Group Graham Smith, DSP Group

2 Nov 2013 Background 13/1012r4 Described Dynamic Sensitivity Control DSC and provided a throughput calculation for a hypothetical Cell Structure network. 3005Mbps vs. 397Mbps This presentation looks at the Apartment Complex Use Case and provides an estimate of the improvement in Capacity/Throughput when using Channel Selection and DSC Graham Smith, DSP Group

3 Dynamic Sensitivity Control - DSC
Nov 2013 Dynamic Sensitivity Control - DSC STA measures the RSSI of the AP Beacon (R dBm) Then sets its RX Sensitivity Threshold at (R – M) dBm, where M is the “Margin” Hence, for example: STA receives Beacon at -50dBm, with Margin = 20dB STA sets RX Sensitivity Threshold to -70dBm. Also set an Upper Limit, L, to Beacon RSSI at, say, -30 or -40dBm to cater for case when STA is very close to AP. Need to ensure that all the STAs in the wanted area do see each other. Hence if one STA very close to AP, then it could set RX Sensitivity too high and we get hidden STAs. Graham Smith, DSP Group

4 Single Apartment complex
Nov 2013 Single Apartment complex Graham Smith, DSP Group

5 Double Apartment Complex
Nov 2013 Double Apartment Complex Graham Smith, DSP Group

6 Nov 2013 Channels Ref:Wikipedia Graham Smith, DSP Group

7 AP Channel Selection Analysis Program
Nov 2013 AP Channel Selection Analysis Program Set-Up Set up an Apartment block Number of Apartments per floor Number of floors Select number of Channels (24 max) Select percentage of Apartments to be assigned (0 – 100%) Select number of times to run through the program So as to obtain a reasonable variation (e.g. run 10 times) Program outline Randomly select an Apartment Scan the surrounding apartments in range Select channel(s) with least other APs Output Number of Apartments with no overlapping networks Number of Apartments with 1 overlapping networks Number of Apartments with 2 overlapping networks Number of Apartments with 2+ overlapping networks Graham Smith, DSP Group

8 Random Channel Selection
Nov 2013 Random Channel Selection 10 CH only 4% of apartments have no overlap 70% have 3 or more overlapping 10 CH only 25 out of 100 apartments have no overlap 26 out of 100 have 3 or more overlapping For both double and single apartment complexes 10 CH 89% apartments have no overlap Graham Smith, DSP Group

9 Intelligent Channel Selection – Big Improvement
Nov 2013 Intelligent Channel Selection – Big Improvement Channel Selection Random Compare Compare Compare Graham Smith, DSP Group

10 3a Dense apartment building – private access and cellular offload
July 2013 doc.: IEEE /xxxxr0 July 2013 3a Dense apartment building – private access and cellular offload Pre-Conditions Each apartment has Wi-Fi network deployed to access internet and cloud services. In each apartment up to 3 users stream concurrently video content from the network and up to 50% of the networks are active. At the same time each of the active Wi-Fi networks is used by 2 users for web browsing Environment Building with 100 apartments. One AP in each apartment of 10mx10m randomly positioned. 5 STA per AP randomly positioned in the apartment. Applications Cloud based applications supporting video streaming with 8k resolution. Video throughput assumptions are: ~112Mbps per STA, delay is < 200ms, 1.0E-3 PER. Online game Cloud-based application as big storage Web browsing assumptions for Social Networking are: ~20Mbps, PER 1e-3, delay<50ms 150 active video users and 100 active web browsing users in the building. Traffic Conditions Strong interference from unmanaged overlapping networks (neighboring apartments, and outdoor Wi-Fi network). Multiple video display are operational simultaneously. Interference with Zigbee, Bluetooth. Use Case Users watch the high quality video contents coming from the Internet or video contents stored in their PVR with VHD Display. There may be another video streams to be recorded in the Blu-ray deck. People enjoy playing online games or local game machine with two or more people. Other users are just accessing the Internet for access, web browsing, etc. Laurent Cariou (Orange)

11 Capacity/Throughput Requirement
Nov 2013 Capacity/Throughput Requirement From Use Case 5 STAs per Apartment Video 112Mbps Web Browsing 20Mbps What is peak requirement? 1- 2 STAs Video Mbps 3 Browsing Mbps Total per Apartment Mbps Is this what was meant in the Use Case? Graham Smith, DSP Group

12 Single Apartment Complex – 11n
Nov 2013 Single Apartment Complex – 11n Graham Smith, DSP Group

13 Double Apartment Complex – 11n
Nov 2013 Double Apartment Complex – 11n Graham Smith, DSP Group

14 Single Apartment Complex 11ac
Nov 2013 Single Apartment Complex 11ac Graham Smith, DSP Group

15 Single Apartment Complex Total Capacity
Nov 2013 Single Apartment Complex Total Capacity 2.96 x Improvement Graham Smith, DSP Group

16 Double Apartment Complex Total Capacity
Nov 2013 Double Apartment Complex Total Capacity 4.12 x Improvement Graham Smith, DSP Group

17 Dense Apartment Complex
Nov 2013 Dense Apartment Complex 2SS 65k A-MPDU Random Channel Selection Single Complex Capacity average 163Mbps per apartment Note: 9% are at 119Mbps, 1% at 500Mbps Double Apartment Capacity is average 117Mbps per apartment Note: 11% are at 85Mbps, 8% at 265Mbps Channel Selection Single Complex Capacity is average 163Mbps per apartment Double Apartment Capacity is average 133Mbps per apartment DSC plus Channel Selection Single and Double Complex Capacity is average 481Mbps per apartment Note: 92% are at 500Mbps, 8% at 265Mbps (Meets 224Mbps requirement) 296% improvement for Single Apartment Complex 412% improvement for Double Apartment Complex Graham Smith, DSP Group

18 Nov 2013 Discussion The techniques shown here can be applied for most Use Cases: Available Channels Overlap calculation Channel Selection Effective Throughputs (EDCA Overhead) We could (should) establish the ‘present situation’ for each major Use Case, and results compared to the ‘required capacities’. This gives PAR number. Then apply ‘new ideas’ to establish the possible gains DSC could provide good improvements in (Most/Some) Use Cases Graham Smith, DSP Group

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