July 2002 July 2003 doc 11 03 0617

  • Slides: 9
Download presentation
July 2002 July 2003 doc. : 11 -03 -0617 -00 -0 wng IEEE 802

July 2002 July 2003 doc. : 11 -03 -0617 -00 -0 wng IEEE 802 Study Project Proposal Test Methodology for 802. 11 Wireless Performance Stephen Berger TEM Consulting (512) 864 -3365 stephen. berger@ieee. org Submission - Study Project Proposal Methodology for Prediction of Field Performance 1 H. Stephen Berger, TEM Consulting, LP

July 2002 July 2003 doc. : 11 -03 -0617 -00 -0 wng Overview •

July 2002 July 2003 doc. : 11 -03 -0617 -00 -0 wng Overview • Purpose of this Study Project What problem is being solved? • Project Scope? What will be done and what will not be done? • Potential for Success? Is there a reasonable potential for success? • Benefits? Submission - Study Project Proposal Methodology for Prediction of Field Performance 2 H. Stephen Berger, TEM Consulting, LP

July 2002 July 2003 doc. : 11 -03 -0617 -00 -0 wng Sum of

July 2002 July 2003 doc. : 11 -03 -0617 -00 -0 wng Sum of Sub-Component Specifications End-to-End System Performance Submission - Study Project Proposal Methodology for Prediction of Field Performance 3 H. Stephen Berger, TEM Consulting, LP

July 2002 July 2003 doc. : 11 -03 -0617 -00 -0 wng Purpose The

July 2002 July 2003 doc. : 11 -03 -0617 -00 -0 wng Purpose The performance experienced in real installation environments varies significantly because of a number of complicated, and interrelated factors. Currently there is no generally accepted method for evaluating this performance. What is needed is a end user, device level, test and analysis method(s) that provides a good degree of confidence in predicting the coverage, throughput and directivity performance of IEEE 802. 11 (and potentially other) wireless devices. Submission - Study Project Proposal Methodology for Prediction of Field Performance 4 H. Stephen Berger, TEM Consulting, LP

July 2002 July 2003 doc. : 11 -03 -0617 -00 -0 wng In Scope

July 2002 July 2003 doc. : 11 -03 -0617 -00 -0 wng In Scope Methods for prediction of real installation performance: Predicting the: • coverage • throughput • directivity performance • latency • errors Both asynchronous and isochronous data Measurement correlation, precision & repeatability Correlation to differing deployment scenarios Submission - Study Project Proposal Methodology for Prediction of Field Performance 5 H. Stephen Berger, TEM Consulting, LP

July 2002 July 2003 doc. : 11 -03 -0617 -00 -0 wng Out of

July 2002 July 2003 doc. : 11 -03 -0617 -00 -0 wng Out of Scope • Measurements of radio component performance • Regulatory issues • Purely theoretical analysis • Purely conducted tests • Power consumption • Designation of ‘acceptable’ performance Submission - Study Project Proposal Methodology for Prediction of Field Performance 6 H. Stephen Berger, TEM Consulting, LP

July 2002 July 2003 doc. : 11 -03 -0617 -00 -0 wng Variables Effect

July 2002 July 2003 doc. : 11 -03 -0617 -00 -0 wng Variables Effect of: • Antenna gain and pattern • Receiver sensitivity • Transmit power • Protocol/host processing • Environmental and system noise • Band crowding • Environmental noise Submission - Study Project Proposal Methodology for Prediction of Field Performance 7 H. Stephen Berger, TEM Consulting, LP

July 2002 July 2003 doc. : 11 -03 -0617 -00 -0 wng Sources for

July 2002 July 2003 doc. : 11 -03 -0617 -00 -0 wng Sources for Ideas • Most manufacturers currently have internal evaluation methods. • Mobile phone manufacturers and service providers have methods they have developed. • Evaluation methods used by Do. D, broadcasters, NIST and others for multiple, co-located antennas. Submission - Study Project Proposal Methodology for Prediction of Field Performance 8 H. Stephen Berger, TEM Consulting, LP

July 2002 July 2003 doc. : 11 -03 -0617 -00 -0 wng Benefits •

July 2002 July 2003 doc. : 11 -03 -0617 -00 -0 wng Benefits • Predictable wireless experience for consumers. • More effective and standard evaluation of new designs. • Enhanced propagation of IEEE 802 standards, due to improved perception of end-user performance. Submission - Study Project Proposal Methodology for Prediction of Field Performance 9 H. Stephen Berger, TEM Consulting, LP