An analysis framework for the performance of collocated heterogeneous wireless networks with negative acknowledgements

Bilal Khan, Jong-Suk Ahn, Eun-Chan Park


This paper proposes an analytical framework for evaluating the performance of coexistent heterogeneous wireless networks configured with different transmission powers and carrier sense thresholds. Two models, M-INF and M-MAC, are developed based on two-dimensional Markov chain. M-INF evaluates the effect of asymmetric channel access
and interference among heterogeneous wireless networks, whereas M-MAC evaluates the effectiveness of a negative acknowledgement (NACK) mechanism. Results obtained from simulations are compared with those obtained from our proposed M-INF as well as conventional models, e.g., CHAM and HSM. It was found that simulations match our proposed
models more closely than the conventional models. In addition, results obtained from M-MAC suggest that using NACK improves network performance by 40%.



Binary exponential backoff; coexistence; heterogeneous; IEEE802.11; interference.

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