1. Jan 2004
doc.: IEEE /xxxr0
January 2004
IEEE WPP SG -
Optimization Parallels with CDMA Cellular/PCS Industry
Dong-Jye Shyy, Ph.D.
MITRE
Craig J. Stanziano, Founder
DWG
Dong-Jye Shyy, MITRE

2. Jan 2004
doc.: IEEE /xxxr0
January 2004
The experience of wireless subscribers service is a direct result of RF design guidelines, deployment realities, and optimization solutions
RF Design
Guidelines
Broadband Pipes to Home network
Optimization
Solutions
Deployment
Realities
Dong-Jye Shyy, MITRE

3. Jan 2004
doc.: IEEE /xxxr0
January 2004
Purpose
Investigate the applicability of optimization solutions in the CDMA Cellular/PCS industry to WLAN deployments.
Switch/Cell Translations
Drive Testing
Antenna Manipulation
Dong-Jye Shyy, MITRE

4. Optimization Solutions
Jan 2004
doc.: IEEE /xxxr0
January 2004
Optimization Solutions
Background
Traditionally, CDMA Cellular/PCS deployment has focused on macro cell level deployment (large areas, >1 mile radius) solutions. Recent applications of micro cell (small areas, < ½ mile radius) solutions indicate there is a trend towards even smaller area deployment such as pico cell (< ¼ mile radius). This is the domain of WLAN.
This trend is attributed to wireless subscribers demands for “LAN like” performance from the service providers.
This trend has forced the optimization process to become more granular in its analysis. The area requiring to be optimized is decreasing although dependency to its neighboring cells is increasing
The first step in system optimization is to have an understanding of subscriber usage patterns.
Dong-Jye Shyy, MITRE

5. Optimization Solutions
Jan 2004
doc.: IEEE /xxxr0
January 2004
Optimization Solutions
Subscriber Usage Patterns
Similar to vehicular traffic in the CDMA networks, office environment also has predefined routes.
In an office environment, we need to address both mobility and stationary user scenarios.
For the mobility users, it would be desirable if they can transition areas of service with as few handoffs as possible to minimize performance degradation.
For the stationary users, it would be desirable if they can receive maximum throughput with no degradation from neighboring users. This can be achieved by service delineation between stationary users and mobility users.
One solution to achieve the above objectives is to properly position antennas to dedicate their service based on the usage patterns.
Dong-Jye Shyy, MITRE

6. Optimization Solutions
Jan 2004
doc.: IEEE /xxxr0
January 2004
Optimization Solutions
Subscriber Usage Patterns
No Mobility Periodic Mobility High Mobility
Dong-Jye Shyy, MITRE

7. Optimization Solutions
Jan 2004
doc.: IEEE /xxxr0
January 2004
Optimization Solutions
Subscriber Usage Patterns
Access Point Deployment Solution
No Mobility Periodic Mobility High Mobility
Dong-Jye Shyy, MITRE

8. Optimization Solutions
Jan 2004
doc.: IEEE /xxxr0
January 2004
Optimization Solutions
Drive (Walk) Testing
Routes are derived to access the network performance
Define the overall coverage boundaries through thorough investigation of all useable areas
Define cell specific routes to benchmark performance and evaluate trends over time
Define major routes across cells
Drive testing is also needed to evaluate the effect of parameter adjustment
Switch/Cell parameters modification would require re-drive/walk to determine effect of change
Similarly, once the antenna placement is changed (to meet coverage conditions), drive testing needs to be re-performed
Dong-Jye Shyy, MITRE

9. Optimization Solutions
Jan 2004
doc.: IEEE /xxxr0
January 2004
Optimization Solutions
Drive Testing
Drive routes are used to bench mark the performance of the network
No Mobility Periodic Mobility High Mobility
Dong-Jye Shyy, MITRE

10. Optimization Solutions
Jan 2004
doc.: IEEE /xxxr0
January 2004
Optimization Solutions
Switch/Cell Translations
Frequency/PN (Pseudo random Noise) Offset Re-Use Planning
Minimize co-channel & adjacent channel interference through spatial separation that maximizes signal level differentials
In CDMA the entire network is co-channel so re-use planning is purely based on effective PN Offset (512 values divided by a typical increment factor of 4) strategies. The results of which (128 discrete PN Offsets) have to eliminate occurrences where same PN Offsets are considered for simultaneous use.
is a pure frequency (11 channels in 11b) plan to ensure co-channel and adjacent channel is minimized.
Dong-Jye Shyy, MITRE

11. Optimization Solutions
Jan 2004
doc.: IEEE /xxxr0
January 2004
Optimization Solutions
Switch/Cell Translations
3 Carrier Access Point Frequency Plan Solution 11 6 1 11 1 11 1 11 6 6 1 6 11 1 11
No Mobility Periodic Mobility High Mobility
Dong-Jye Shyy, MITRE

12. Optimization Solutions
Jan 2004
doc.: IEEE /xxxr0
January 2004
Optimization Solutions
Antenna Manipulation
Antenna pattern discrimination is applied to improve network performance
Omni directional patterns to maximize distribution of service to all areas around cell site
Directional patterns to amplify signal levels to a specific area or remove service from another area.
Deployment of a combination of both antenna patterns are effective solutions for various usage environments
Dong-Jye Shyy, MITRE

13. Optimization Solutions
Jan 2004
doc.: IEEE /xxxr0
January 2004
Optimization Solutions
Antenna Manipulation
Poor Antenna Solution 11 6 1 11 1 11 1 11 6 6
No Signal Containment to Outside Subscribers 1 6 11 1 11
No Mobility Periodic Mobility High Mobility
Dong-Jye Shyy, MITRE

14. Antenna Manipulation Jan 2004 doc.: IEEE 802.11-02/xxxr0 January 2004
Optimal Antenna Solution 11 6 1 11 1 11 1 11 6 6
Eliminates Outdoor Leakage, Segregates mobility areas 1 11 6 11 1
No Mobility Periodic Mobility High Mobility
Dong-Jye Shyy, MITRE

15. Jan 2004
doc.: IEEE /xxxr0
January 2004
Conclusion
Propose to include the presented methodology in the “Recommended Practice for Wireless Performance Prediction”
Dong-Jye Shyy, MITRE