XORs in the air: practical wireless network coding
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Adaptive network coding and scheduling for maximizing throughput in wireless networks
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
A tutorial on cross-layer optimization in wireless networks
IEEE Journal on Selected Areas in Communications
An overview of network coding for multimedia streaming
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Multipath wireless network coding: a population game perspective
INFOCOM'10 Proceedings of the 29th conference on Information communications
A framework for joint network coding and transmission rate control in wireless networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
Back-pressure-based packet-by-packet adaptive routing in communication networks
IEEE/ACM Transactions on Networking (TON)
Realizing the benefits of wireless network coding in multirate settings
IEEE/ACM Transactions on Networking (TON)
Joint Routing and Medium Access Control in Fixed Random Access Wireless Multihop Networks
IEEE/ACM Transactions on Networking (TON)
Multipath Wireless Network Coding: An Augmented Potential Game Perspective
IEEE/ACM Transactions on Networking (TON)
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In this paper, we study rate control and scheduling over wireless networks with intersession network coding, as a utility maximization problem. We demonstrate that making rate control and scheduling aware of the underlying network coding increases throughput. The key intuition is that network coding introduces new network coded flows and eventually new conflicts between nodes, which should be taken into account both in rate control and in scheduling. We compare the network coding-aware to the network coding-unaware schemes in two cases: (i) optimal control and (ii) practical, suboptimal control. Our main goal is to make the case for network coding-aware rate control and scheduling, via simulation of representative examples. Along the way, we also propose a practical scheme that approximates the optimal control.