Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6880125 | Computer Communications | 2018 | 17 Pages |
Abstract
We expect that the T-SIMn framework will be suitable for easily and fairly comparing algorithms that must be optimized for different and varying 802.11n channel conditions, which are challenging to evaluate experimentally. These include rate adaptation, frame aggregation and channel bandwidth adaptation algorithms.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Ali Abedi, Tim Brecht, Andrew Heard,