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.

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.

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.

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.

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.

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.