| TCP performance optimization in multi-cell wireless local area networks |
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International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems
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Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
table of contents
Tenerife, Canary Islands, Spain
SESSION: WLANs and WMNs
table of contents
Pages: 338-345
Year of Publication: 2009
ISBN:978-1-60558-616-8
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Authors
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Ka-Lok Hung
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The Hong Kong University of Science and Technology, Hong Kong
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Brahim Bensaou
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The Hong Kong University of Science and Technology, Hong Kong
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Downloads (6 Weeks): 8, Downloads (12 Months): 22, Citation Count: 0
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ABSTRACT
In this paper, we consider the throughput allocation problem in an extended (or multi-cells) IEEE 802.11 wireless network. We first demonstrate the severe throughput imbalance that can take place between downlink TCP flows even in simple multi-cell WLANs. Then to solve this unfairness problem, we derive an analytical model that describes the interaction between different TCP flows at the MAC layer, and formulate the throughput allocation problem as a nonlinear optimization problem subject to certain fairness requirements. Real world complexity such as hidden terminals, packet transmission retry limit, and the unique characteristics of TCP traffic are considered. Unlike alternative approaches that rely on modifying the TCP sender or implementing active queue management at the network layer, solving our optimization problem yields the optimal MAC layer contention windows settings that can lead each TCP flow to its target end-to-end throughput. Among the practically appealing characteristics of this approach are: i) its locality and the possibility of implementing it at the AP and within the ESS, whereas alternative approaches rely on changing the TCP traffic source; and ii) its simplicity, i.e., it is achieved by controlling a single parameter per-node, whereas alternative approaches based on AQM require the tuning of many parameters and achieve mitigated results. Simulation results show that our approach can achieve a fair throughput allocation and attest to the accuracy of our proposed method.
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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IEEE standard for information technology-telecommunications and information exchange between systems-local and metropolitan area networks-specific requirements - part 11: Wireless LAN Medium Access Control (MAC) and physical layer (PHY) specifications. IEEE Std 802.11-2007 (Revision of IEEE Std 802.11-1999), pages C1--1184, June 12 2007.
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G. Bianchi. Performance analysis of the IEEE 802.11 distributed coordination function. IEEE Journal on Selected Areas in Communications, 18(3):535--547, Mar 2000.
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3
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4
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T. Bonald, A. Ibrahim, and J. Roberts. Enhanced spatial reuse in multi-cell WLANs. In IEEE INFOCOM, 2009.
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5
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R. Boorstyn, A. Kershenbaum, B. Maglaris, and V. Sahin. Throughput analysis in multihop CSMA packet radio networks. IEEE Transactions on Communications, 35(3):267--274, 1987.
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6
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8
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F. Cali, M. Conti, and E. Gregori. IEEE 802.11 wireless LAN: Capacity analysis and protocol enhancement. In IEEE INFOCOM, 1998.
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11
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M. Garetto, T. Salonidis, and E. W. Knightly. Modeling per-flow throughput and capturing starvation in CSMA multi-hop wireless networks. In IEEE INFOCOM, 2006.
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13
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14
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15
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16
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ns-2. http://www.isi.edu/nsnam/ns/.
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17
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J. Yu and S. Choi. Modeling and analysis of TCP dynamics over IEEE 802.11 WLAN. In WONS, 2007.
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