The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Predictable 802.11 packet delivery from wireless channel measurements
Abstract
RSSI is known to be a fickle indicator of whether a wireless link will work, for many reasons. This greatly complicates operation because it requires testing and adaptation to find the best rate, transmit power or other parameter that is tuned to boost performance. We show that, for the first time, wireless packet delivery can be accurately predicted for commodity 802.11 NICs from only the channel measurements that they provide. Our model uses 802.11n Channel State Information measurements as input to an OFDM receiver model we develop by using the concept of effective SNR. It is simple, easy to deploy, broadly useful, and accurate. It makes packet delivery predictions for 802.11a/g SISO rates and 802.11n MIMO rates, plus choices of transmit power and antennas. We report testbed experiments that show narrow transition regions (<2 dB for most links) similar to the near-ideal case of narrowband, frequency-flat channels. Unlike RSSI, this lets us predict the highest rate that will work for a link, trim transmit power, and more. We use trace-driven simulation to show that our rate prediction is as good as the best rate adaptation algorithms for 802.11a/g, even over dynamic channels, and extends this good performance to 802.11n.
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Cites
Goldsmith, A. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511841224 · Cited by 10,658
Understanding packet delivery performance in dense wireless sensor networks
Zhao, J., & Govindan, R. (2003) · Proceedings of the 1st international conference on Embedded networked sensor systems · doi:10.1145/958491.958493 · Cited by 1,267
Link-level measurements from an 802.11b mesh network
Aguayo, D., Bicket, J., Biswas, S., Judd, G., & Morris, R. (2004) · Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications · doi:10.1145/1015467.1015482 · Cited by 997
A power controlled multiple access protocol for wireless packet networks
Monks, J. P., Bharghavan, V., & Hwu, W.-M. W. (2002) · Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213) · doi:10.1109/infcom.2001.916704 · Cited by 632
Cabernet: vehicular content delivery using WiFi
Eriksson, J., Balakrishnan, H., & Madden, S. (2008) · Proceedings of the 14th ACM international conference on Mobile computing and networking · doi:10.1145/1409944.1409968 · Cited by 427
Cross-layer wireless bit rate adaptation
Vutukuru, M., Balakrishnan, H., & Jamieson, K. (2009) · ACM SIGCOMM Conference (SIGCOMM) · doi:10.1145/1592568.1592571 · Cited by 345
Frequency-aware rate adaptation and MAC protocols
Rahul, H. S., Edalat, F., Katabi, D., & Sodini, C. G. (2009) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/1614320.1614342 · Cited by 169
Camp, J., & Knightly, E. W. (2008) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/1409944.1409981 · Cited by 122
Misunderstandings about link adaptation for frequency selective fading channels
Lampe, M., Rohling, H., & Zirwas, W. (2003) · IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) · doi:10.1109/pimrc.2002.1047314 · Cited by 61
Cited by
A Survey on Human Behavior Recognition Using Channel State Information
Wang, Z., Jiang, K., Hou, Y., Dou, W., Zhang, C., Huang, Z., & Guo, Y. (2019) · IEEE Access · doi:10.1109/access.2019.2949123 · Cited by 149
Wi-Access: Second Factor User Authentication leveraging WiFi Signals
Shah, S. W., & Kanhere, S. S. (2018) · 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2018.8480152 · Cited by 14
Metadata
- Authors
- Halperin, D., Hu, W., Sheth, A., & Wetherall, D.
- Venue
- ACM SIGCOMM Computer Communication Review
- Published
- 2010-08-16
- Volume
- 40
- Issue
- 4
- Pages
- 159-170
- ISSN
- 0146-4833 (ISSN-L)
- OpenAlex
- W3136666733
- Cited by
- 341
- References
- 9
- FWCI
- 6.67
- Type
- journal article
- Language
- en
- Open access
- closed
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- Halperin, D., Hu, W., Sheth, A., & Wetherall, D. (2010). Predictable 802.11 packet delivery from wireless channel measurements. ACM SIGCOMM Computer Communication Review. https://doi.org/10.1145/1851275.1851203
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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