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| Content Provider | ACM Digital Library |
|---|---|
| Author | Koutsonikolas, Dimitrios Sun, Li Sen, Souvik |
| Abstract | With the proliferation of smartphones and tablets, mobile devices are soon becoming a preferred medium of Internet access in Wireless LANs (WLANs). Due to their smaller form factor, these truly mobile devices allow the users to access the wireless networks while undergoing different types of mobility, posing new challenges to wireless protocols. Current history-based protocols that maximize performance in static settings do not work well in mobile settings where wireless conditions change rapidly. Thus, today's WLANs need to be able to determine the type of the client's mobility and employ appropriate strategies in order to sustain high performance. While previous work tried to detect mobility using hints from sensors available in today's mobile devices, in this work, we demonstrate how different mobility modes can be distinguished by using physical layer information -- Channel State Information (CSI) and Time-of-Flight (ToF) -- available at commodity APs, with no modifications on the client side. In addition, we demonstrate how fine-grained mobility determination can be exploited to improve performance of client roaming, rate control, frame aggregation, and MIMO beamforming. Our testbed experiments show that our mobility classification algorithm achieves more than 92% accuracy in a variety of scenarios, and the combined throughput gain of all four mobility-aware protocols over their mobility-oblivious counterparts can be more than 100%. |
| Starting Page | 53 |
| Ending Page | 66 |
| Page Count | 14 |
| File Format | |
| ISBN | 9781450332798 |
| DOI | 10.1145/2674005.2675017 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-12-02 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Beamforming Rate adaptation Frame aggregation Mobility Wlan Channel state information Client roaming Time-of-flight |
| Content Type | Text |
| Resource Type | Article |
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