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Online estimation of RF interference
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Source International Conference On Emerging Networking Experiments And Technologies archive
Proceedings of the 2008 ACM CoNEXT Conference table of contents
Madrid, Spain
Article No. 4  
Year of Publication: 2008
ISBN:978-1-60558-210-8
Authors
Nabeel Ahmed  University of Waterloo, Waterloo, ON, Canada
Usman Ismail  University of Waterloo, Waterloo, ON, Canada
Srinivasan Keshav  University of Waterloo, Waterloo, ON, Canada
Konstantina Papagiannaki  Intel Research, Pittsburgh, PA
Sponsors
ACM: Association for Computing Machinery
SIGCOMM: ACM Special Interest Group on Data Communication
Publisher
ACM  New York, NY, USA
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ABSTRACT

Increased AP density in enterprise WLANs leads to increasing RF interference and decreasing performance. An important step towards mitigating this problem is to construct precise RF maps in the form of a conflict graph. Prior work on conflict graph construction, mostly using bandwidth tests [17], suffers from two problems: a) It is limited to static settings and cannot support mobility, and b) It incurs significant measurement overhead and must be performed offline (e.g. overnight). An alternative to bandwidth tests is "micro-probing" [4] that operates on millisecond-level time scales. Micro-probing rapidly constructs the conflict graph even while the network is in use (i.e. online). While interesting in principle, micro-probing has only been evaluated in simulation. In this work, we empirically study micro-probing on a 40-node wireless testbed. In doing so, we not only show that micro-probing is in fact practically realizable, but also present key insights that drive the design choices for our implementation. We benchmark micro-probing against bandwidth tests and find that micro-probing is just as accurate but with up to a 400 times reduction in overhead. Finally, we argue that a successful implementation of micro-probing opens up the space for further innovations in real-time WLAN adaptation and optimization.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Nabeel Ahmed: colleagues
Usman Ismail: colleagues
Srinivasan Keshav: colleagues
Konstantina Papagiannaki: colleagues