doc.: wpp Submission - Study Project Proposal WPP – Optimization Parallels with Cellular/PCS Industry MITRE January 2004 Dong-Jye Shyy, MITRE and Craig J. Stanziano, DWGSlide 1 IEEE WPP SG - Optimization Parallels with CDMA Cellular/PCS Industry Dong-Jye Shyy, Ph.D. MITRE Craig J. Stanziano, Founder DWG

doc.: wpp Submission - Study Project Proposal WPP – Optimization Parallels with Cellular/PCS Industry MITRE January 2004 Dong-Jye Shyy, MITRE and Craig J. Stanziano, DWGSlide 2 The experience of wireless subscribers service is a direct result of RF design guidelines, deployment realities, and optimization solutions RF Design Guidelines Deployment Realities Optimization Solutions

doc.: wpp Submission - Study Project Proposal WPP – Optimization Parallels with Cellular/PCS Industry MITRE January 2004 Dong-Jye Shyy, MITRE and Craig J. Stanziano, DWGSlide 3 Purpose Investigate the applicability of optimization solutions in the CDMA Cellular/PCS industry to WLAN deployments. Switch/Cell Translations Drive Testing Antenna Manipulation

doc.: wpp Submission - Study Project Proposal WPP – Optimization Parallels with Cellular/PCS Industry MITRE January 2004 Dong-Jye Shyy, MITRE and Craig J. Stanziano, DWGSlide 4 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.

doc.: wpp Submission - Study Project Proposal WPP – Optimization Parallels with Cellular/PCS Industry MITRE January 2004 Dong-Jye Shyy, MITRE and Craig J. Stanziano, DWGSlide 5  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. Optimization Solutions

doc.: wpp Submission - Study Project Proposal WPP – Optimization Parallels with Cellular/PCS Industry MITRE January 2004 Dong-Jye Shyy, MITRE and Craig J. Stanziano, DWGSlide 6  Subscriber Usage Patterns Optimization Solutions No MobilityPeriodic MobilityHigh Mobility

doc.: wpp Submission - Study Project Proposal WPP – Optimization Parallels with Cellular/PCS Industry MITRE January 2004 Dong-Jye Shyy, MITRE and Craig J. Stanziano, DWGSlide 7  Subscriber Usage Patterns Optimization Solutions No MobilityPeriodic MobilityHigh Mobility Access Point Deployment Solution

doc.: wpp Submission - Study Project Proposal WPP – Optimization Parallels with Cellular/PCS Industry MITRE January 2004 Dong-Jye Shyy, MITRE and Craig J. Stanziano, DWGSlide 8  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 Optimization Solutions

doc.: wpp Submission - Study Project Proposal WPP – Optimization Parallels with Cellular/PCS Industry MITRE January 2004 Dong-Jye Shyy, MITRE and Craig J. Stanziano, DWGSlide 9  Drive Testing Optimization Solutions No MobilityPeriodic MobilityHigh Mobility Drive routes are used to bench mark the performance of the network

doc.: wpp Submission - Study Project Proposal WPP – Optimization Parallels with Cellular/PCS Industry MITRE January 2004 Dong-Jye Shyy, MITRE and Craig J. Stanziano, DWGSlide 10  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. Optimization Solutions

doc.: wpp Submission - Study Project Proposal WPP – Optimization Parallels with Cellular/PCS Industry MITRE January 2004 Dong-Jye Shyy, MITRE and Craig J. Stanziano, DWGSlide 11 Optimization Solutions  Switch/Cell Translations 6 No MobilityPeriodic MobilityHigh Mobility 3 Carrier Access Point Frequency Plan Solution

doc.: wpp Submission - Study Project Proposal WPP – Optimization Parallels with Cellular/PCS Industry MITRE January 2004 Dong-Jye Shyy, MITRE and Craig J. Stanziano, DWGSlide 12  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 Optimization Solutions

doc.: wpp Submission - Study Project Proposal WPP – Optimization Parallels with Cellular/PCS Industry MITRE January 2004 Dong-Jye Shyy, MITRE and Craig J. Stanziano, DWGSlide 13  Antenna Manipulation Optimization Solutions No MobilityPeriodic MobilityHigh Mobility Poor Antenna Solution

doc.: wpp Submission - Study Project Proposal WPP – Optimization Parallels with Cellular/PCS Industry MITRE January 2004 Dong-Jye Shyy, MITRE and Craig J. Stanziano, DWGSlide 14  Antenna Manipulation No MobilityPeriodic MobilityHigh Mobility Optimal Antenna Solution

doc.: wpp Submission - Study Project Proposal WPP – Optimization Parallels with Cellular/PCS Industry MITRE January 2004 Dong-Jye Shyy, MITRE and Craig J. Stanziano, DWGSlide 15 Conclusion Propose to include the presented methodology in the “Recommended Practice for Wireless Performance Prediction”