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Optimal design of high density 802.11 WLANs
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Source International Conference On Emerging Networking Experiments And Technologies archive
Proceedings of the 2006 ACM CoNEXT conference table of contents
Lisboa, Portugal
SESSION: Wireless table of contents
Article No. 8  
Year of Publication: 2006
ISBN:1-59593-456-1
Authors
Vivek P. Mhatre  Thomson Research Lab, Paris, France
Konstantina Papagiannaki  Intel Research, Cambridge, UK
Sponsors
: CISCO
: Fundacao para a Ciencia e Tecnologia
: Thomson
: ACM SIGCOMM
: Intel
Microsoft : Microsoft
: Associacao de Turismo de Lisboa
: E-Next
: ISCTE
: Camara Municipal de Lisboa
Publisher
ACM  New York, NY, USA
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ABSTRACT

The provisioning of high throughput performance infrastructure wireless networks necessitates the deployment of a high density of Access Points. While the latter improves wireless link quality to the clients, it can also introduce additional interference unless the network is carefully planned and tuned. It has been shown that the reaction of CSMA/CA protocol to interference is unnecessarily conservative in high density environments. In this work, we study the problem of infrastructure wireless network design, and the interaction between high density and MAC parameter tuning. Through analysis and numerical results, we provide recommendations on (i) optimum dimensioning of high density networks, and (ii) optimum tuning of their MAC parameters. We demonstrate that 802.11a networks are inherently noise-dominated, while 802.11g networks are interference-dominated, thus requiring different network design approaches. In sharp contrast to previous work, we establish that MAC parameter tuning has limited benefit in properly planned 802.11a networks. On the other hand, analytical results on the optimal tuning of MAC parameters in interference-dominated 802.11g deployments show substantial throughput improvements. Using the insight gained through our analysis, we propose an algorithm for the optimal tuning of MAC parameters in unstructured high density environments. Opnet simulations show that the proposed algorithm results in up to 260% improvement in network throughput.


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:
Vivek P. Mhatre: colleagues
Konstantina Papagiannaki: colleagues