1. Wireless Performance Prediction – Organization Proposal
March 2003
Wireless Performance Prediction – Organization Proposal
Presented by
Paul C. Canaan Intel Corporation
March 3, 2003
Paul Canaan, Intel Corp.

2. Proposed Purpose and Scope
March 2003
Proposed Purpose and Scope
Purpose
Define the key variables that impact the performance of a wireless ecosystem in which one to many clients are passing traffic
Scope
Provide a list of variables that impact the performance of a client passing traffic in a given wireless network ecosystem
Outline a mechanism in which the performance of a client passing traffic in a certain ecosystem can be predicted within a given margin of error
Draft a set of guidelines for persons involved in the design of wireless networking components as well as the installation of wireless networks to use as a means to optimize performance
Paul Canaan, Intel Corp.

3. March 2003
Wireless Ecosystems
The wireless ecosystem represents the environments in which the wireless network resides. The ecosystems will be evaluated using a three tier approach
Simple
Intermediate
Advanced
Simple
Intermediate
Advanced
Paul Canaan, Intel Corp.

4. Performance in the Simple Wireless Ecosystem
March 2003
Performance in the Simple Wireless Ecosystem
Variables that have a significant impact on performance will need to be defined between a single access point and client
These variables have to be measured so latter predication methodologies can be devised
Simple
Signal Strength
Antenna
Protocol
Packet Error Ratio
Multi-path
Paul Canaan, Intel Corp.

5. Issues with Predicting Wireless Performance
March 2003
Issues with Predicting Wireless Performance
The performance experience of wireless systems is impacted by additional variables such as the test environment, access point position, antenna placement and other devices
Each test environment is unique and results obtained in one environment may not correlate to another.
Environmental factors localized to a specific location make it difficult to fully assess the test results
No known standard industry test methodology or “best known methods” exist for testing of wireless systems. Thus making it difficult to replicate results
Paul Canaan, Intel Corp.

6. March 2003
Questions to Ask When Developing Guidelines For Predicting Wireless Experience
Correlation
What can be measured
What variables count
What equipment is needed
Ensure results are repeatable
Document Guidelines
Wireless User Experience
Determine which experiences to focus on (business, consumer)
Determine what kind of usage models are associated with those experiences
Determine what can be measured
Determine how to repeat results using correlation guidelines
Document Guidelines for a particular wireless user experience
These are questions that will have to be answered before we can predict wireless performance
Paul Canaan, Intel Corp.