An algebraic approach to network coding
IEEE/ACM Transactions on Networking (TON)
Network Coding for Wireless Mesh Networks: A Case Study
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
XORs in the air: practical wireless network coding
IEEE/ACM Transactions on Networking (TON)
The capacity of wireless networks
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Cross-Layer Optimization of MAC and Network Coding in Wireless Queueing Tandem Networks
IEEE Transactions on Information Theory
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
An analytical approach for throughput evaluation of wireless network coding
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
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In this paper, we propose a new analytical model in order to evaluate the throughput of a wireless tandem network coding. Our analytical model is based on a multi-class open queueing network. In this model, we include two basic processes of network coding, i.e., packets combination and packets multicasting, in a suitable way considering the constraints of the queueing networks. To this end, we consider the coded packets as new classes of customers. In our model we consider the arrival and departure rates in and from the wireless nodes in steady state. By solving the related traffic equations and applying the stability condition, we compute the maximum stable throughput, i.e., the maximum packet generation rate at which the packets reach their destinations with finite delays. We apply our approach on a simple and yet fundamental model of wireless tandem networks with multicast flows and two different MAC schemes, i.e., scheduled access and slotted random access and then compute the maximum stable throughputs for the cases of simple routing and network coding, distinctly. Finally, we confirm our analytical results by simulation.