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A Rate Adaptation Scheme with Loss Differentiation for WLAN. Haoli Wang, Chung-Chi Tsou Department of Computer Science and Information Engineering National Chiayi University. IEEE International Conference on Hybrid Intelligent Systems, 2009. Outline. Introduction Related Work
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A Rate Adaptation Scheme with Loss Differentiation for WLAN Haoli Wang, Chung-Chi Tsou Department of Computer Science and Information Engineering National Chiayi University IEEE International Conference on Hybrid Intelligent Systems, 2009
Outline • Introduction • Related Work • Protocol • Simulation • Conclusion
Introduction • The station selects an appropriate transmission rate to maximize the throughput performance according to the channel condition
Introduction Rate Rate DCF A B
Related Work Adaptive Multi-Rate Auto Rate Fallback Protocol for IEEE 802.11 WLANS (ARF) Military Communications Conference, MILCOM 2006
Related Work A Rate-Adaptive MAC Protocol for Multi-Hop Wireless Networks (RBAR) The Annual International Conference on Mobile Computing andNetworking, MobiCom 2001
Related Work CARA: Collision-aware Rate Adaptation for IEEE 802.11 WLANs (CARA) International Conference on Computer Communications, INFOCOM 2006
Protocol Successfully detect collision in Case 2 and 3
Protocol If (FC > FC threshold) then activate RTS / CTS FC = Freeze Counter
Simulation • Simulator : C++ • Multirate error model : Qualnet simulator • The Frame Error Rate between two nodes are different from transmission rate and transmission distance. • The lower transmission rate has longer transmission range than the higher transmission rate. (Control Packet is based rate)
Simulation Distance between AP and all stations doesn’t exceed 200 m.
Simulation Distance between AP and all stations doesn’t exceed 350 m.
Simulation Distance between AP and all stations doesn’t exceed 400 m.
Conclusion • The main idea of E-CARA is that the station could differentiate collisions from transmission failures caused by channel error via Enhanced CCA and FC.