Mathematical model of MCCA-based streaming process in mesh networks in the presence of noise

One of the today challenges for the mesh networks researches is reliable transmission of multimedia traffic. This traffic demands high quality of service (QoS), to provide which it is suitable to use Mesh Coordinated Channel Access (MCCA) - the novel medium access method described in IEEE 802.11s. According to MCCA, mesh stations (STAs) set up periodic reservations; if all STAs in the network support MCCA, every STA gets access to the medium with no contention during the reservations it has scheduled. Most papers devoted to MCCA are written under the assumption of ideal channel conditions. However, in order to satisfy QoS demands, it is necessary to take random noise into account. In this paper we propose an analytical model of the multihop MCCA-based streaming process in the presence of noise. The model predicts the Packet Loss Ratio (PLR) over the transmission route and can be efficiently utilized to analyze and optimize the process of traffic transmission.