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Bursty Error Modeling with Two-State Markov for 802.11e MAC Simulations

Explore a simplified PHY model incorporating bursty error behavior using a Two-State Markov channel model for accurate MAC evaluation in wireless networks. Consider realistic error probabilities and independent channel assumptions for transmitter-receiver pairs. Seek feedback from PHY experts in 802.11 WG.

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Bursty Error Modeling with Two-State Markov for 802.11e MAC Simulations

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  1. Channel Model Proposal for 802.11e MAC Simulations Sunghyun Choi Philips Research Briarcliff Manor, New York Sunghyun Choi, Philips Research

  2. Introduction • Don’t like to include the complicated PHY behavior for MAC simulations • Still need to incorporate the PHY behavior for MAC evaluation • Error-free PHY assumption is too much • Random error assumption does not reflect the reality • Two-state Markov channel model? • Well accepted model for link layer evaluations • Reflects the bursty error behavior of the wireless channel Sunghyun Choi, Philips Research

  3. Two-State Markov Model • Two bit error probabilities: • Pe,G (in good state)and Pe,B (in bad state) • Four transition probabilities (or rates in sec-1) • PG,B, PG,G (= 1-PG,B), PB,G , PB,B (= 1-PB,G ) • Stays in each state for an exponentially-distributed time Sunghyun Choi, Philips Research

  4. Two Extreme Cases • Bursty error model • Pe,G = 0 and Pe,B = 1 • Pkt 1 received in error / Pkt 2 received correctly • Random error model • Start in Bad state and PB,G = 0 Sunghyun Choi, Philips Research

  5. Other Concerns • A channel behavior determined for each transmitter-receiver pair due to location-dependent channel behavior • E.g., at time t, channel (STA A, STA B) in bad state while channel (STA B, STA C) in good state • Can assume that channels (STA A, STA B) and (STA B, STA C) are independent for simulations • Realistic values of the probabilities? • May want to ask the folks working in PHY in 802.11 WG Sunghyun Choi, Philips Research

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