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

Abstract

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%.