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Ting-Yu Lin and Jennifer C. Hou

Interplay of Spatial Reuse and SINR-determined Data Rates in CSMACA-based, Multi-hop, Multi- rate Wirless Networks. Ting-Yu Lin and Jennifer C. Hou Department of Computer Science University of Illinois at Urbana-Champaign. IEEE INFOCOM 2007. Outline. Introduction

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Ting-Yu Lin and Jennifer C. Hou

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  1. Interplay of Spatial Reuse and SINR-determined Data Rates in CSMACA-based, Multi-hop, Multi- rate Wirless Networks Ting-Yu Lin and Jennifer C. Hou Department of Computer Science University of Illinois at Urbana-Champaign IEEE INFOCOM 2007

  2. Outline • Introduction • Network Model and Signal Propagation/Interference Model • Network Capacity as A Function of Tcs, SINR and β[i] • Validation of Analytic Model • Conclusions

  3. Introduction • How does the collision be avoided in CSMA-CA-based wireless network? • Physical carrier sense • Binary exponential back off mechanism • Data rate adjustment Network throughput : 1. Transmission time 2. Spatial reuse

  4. Spatial reuse • Tuning the carrier-sensing threshold • Tcs Spatial reuse • Computes the accumulated interference • Tcs vs. Data rate • Increase simultaneous transmissions • Within carrier sense range

  5. Network Model and Signal Propagation/Interference Model • Network Model • Multi-hop • Multi-rate • Based on IEEE 802.11 DCF

  6. Network Assumption

  7. Virtual transmission time

  8. Network Capacity as A Function of Tcs, SINR and β[i]

  9. Attempt Probability Radio propagation is derived in Calí’s model

  10. Interference dcs dpg

  11. Interference Model 1st –tier interference nodes

  12. SINR vs. β[i]

  13. Collision Zone • Extra interference • By simultaneous transmissions within the dcs • SINR perceived at the receiver >β[i] • Accumulative interference

  14. Revision all accumulated interference Prcv ≧ (Isim,dcz,dcs+ Icon,dcs,dpg+η) *β Spatial Reuse

  15. Numerical Results-1 • Setting • 500 nodes • 500*500 m2 • 1125 Bytes/packet • DSR =50m • dpg=302m dcs = 153m CW=64

  16. Numerical Results-2_1 • 200 nodes • 500*500 m2 • dcs=153 m • CW =64~128

  17. Numerical Results-2_2 • 62 nodes • 500*500 m2

  18. Numerical Results-2_3 • 10 nodes • 500*500 m2

  19. Experiments with Settings • (Tcs, CW, r) • Tcs : Optimal value • r= 6 or 54 • Number of nodes: • 25 • 125 • Field : 500*500 • Single hop CBR connection (225Bytes)

  20. Validation of Analytic Model

  21. Conclusions • In this paper • Investigate • Relation between PHY- and MAC-layer parameters • Derive • Analytic model about the characters of IEEE 802.11 DCF • A corresponding SINR • Achieve • Spatial reuse • Sustainable data rates

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