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This proposal aims to define key variables affecting wireless ecosystem performance, provide a mechanism for predicting client traffic performance, and draft guidelines for network design optimization. It discusses the impact of variables like signal strength, protocol, and error ratio in simple wireless ecosystems and addresses challenges in predicting performance due to diverse environmental factors. The proposal suggests questions to develop guidelines, focusing on user experience and repeatability of results. These guidelines target optimizing wireless networking components and installations.
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Wireless Performance Prediction – Organization Proposal Presented by Paul C. Canaan Intel Corporation March 3, 2003 Paul Canaan, Intel Corp.
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.
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 • 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 • 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.
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.
