Capacity of Ad Hoc wireless networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Fundamentals of wireless communication
Fundamentals of wireless communication
Hot topic: physical-layer network coding
Proceedings of the 12th annual international conference on Mobile computing and networking
Embracing wireless interference: analog network coding
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Beyond the bits: cooperative packet recovery using physical layer information
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Interference alignment and cancellation
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
On capacity scaling in arbitrary wireless networks
IEEE Transactions on Information Theory
The capacity of wireless networks
IEEE Transactions on Information Theory
Hierarchical Cooperation Achieves Optimal Capacity Scaling in Ad Hoc Networks
IEEE Transactions on Information Theory
Interference Alignment and Degrees of Freedom of the -User Interference Channel
IEEE Transactions on Information Theory
Link scheduling in wireless networks with successive interference cancellation
Computer Networks: The International Journal of Computer and Telecommunications Networking
Adaptive instantiation of the protocol interference model in wireless networked sensing and control
ACM Transactions on Sensor Networks (TOSN)
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Physical layer techniques have come a long way and can achieve close to Shannon capacity for single point to-point transmissions. It is apparent that, to further improve network capacity significantly, we have to resort to concurrent transmissions. Multiple concurrent transmission techniques (e.g., zero forcing, interference alignment and distributed MIMO) are proposed in which multiple senders jointly encode signals to multiple receivers so that interference is aligned or canceled and each receiver is able to decode its desired information. In this paper, we formulate the interference alignment and cancellation problem in multi-hop mesh networks. We show that the problem is NP-hard in general. We then propose a convex programming based algorithm to identify interference alignment and cancellation opportunities. Our algorithm effectively utilizes knowledge of both local network topology and overheard packets at the sender side as well as the receiver side. We implement our system using GNU Radio to evaluate key practical implementation issues.