Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Auto-configuration of 802.11n WLANs

Arslan, MY and Pelechrinis, K and Broustis, I and Krishnamurthy, SV and Addepalli, S and Papagiannaki, K (2010) Auto-configuration of 802.11n WLANs. In: UNSPECIFIED.

[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)


Channel Bonding (CB) combines two adjacent frequency bands to form a new, wider band to facilitate high data rate transmissions in MIMO-based 802.11n networks. However, the use of a wider band with CB can exacerbate interference effects. Furthermore, CB does not always provide benefits in interference-free settings, and can even degrade performance in some cases. We conduct an in-depth, experimental study to understand the implications of CB. Based on this study we design an auto-configuration framework, ACORN, for enterprise 802.11n WLANs. ACORN integrates the functions of user association and channel allocation, since our study reveals that they are tightly coupled when CB is used. We show that the channel allocation problem with the constraints of CB is NP-complete. Thus, ACORN uses an algorithm that provides a worst case approximation ratio of [EQUATION] with • being the maximum node degree in the network. We implement ACORN on our 802.11n testbed. Our experiments show that ACORN (i) outperforms previous approaches that are agnostic to CB constraints; it provides per-AP throughput gains from 1.5x to 6x and (ii) in practice, its channel allocation module achieves an approximation ratio much better than [EQUATION]. © 2010 ACM.


Social Networking:
Share |


Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
CreatorsEmailPitt UsernameORCID
Arslan, MY
Pelechrinis, Kkpele@pitt.eduKPELE0000-0002-6443-3935
Broustis, I
Krishnamurthy, SV
Addepalli, S
Papagiannaki, K
Date: 1 December 2010
Date Type: Publication
Journal or Publication Title: Proceedings of the 6th International Conference on Emerging Networking Experiments and Technologies, Co-NEXT'10
Event Type: Conference
DOI or Unique Handle: 10.1145/1921168.1921204
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Telecommunications
Refereed: Yes
ISBN: 9781450304481
Related URLs:
Date Deposited: 25 May 2011 21:25
Last Modified: 31 Jul 2020 14:56


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item