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Spontaneous and Self-Organizing Networks: from Space-Time Coding to Network Coding

Abstract : We study the rotate-and-forward (RF) cooperative protocol in the two-hop MIMO relay networks. In these networks, the source communicates with the destination via a layer of relays. We consider different network configurations and we study the performance of the RF scheme using a new metric called outage gain. This gain gives us an exact characterization of the outage probability's behavior at moderate and high signal-to-noise ratio. Using this metric, we compare the performance of the RF scheme to the performance of other schemes having the same diversity order. Moreover, we assume that a feedback channel exists between the destination and the relays, and we use the channel knowledge to improve the performance of the RF scheme in terms of outage probability. We consider the physical layer network coding protocol; the compute-and-forward. We consider the transmission rate maximization problem and we relate it to the lattice shortest vector problem. We first implement this protocol for real Gaussian channels and one-dimensional lattices. We derive the maximum likelihood (ML) criterion and we propose a quasi-ML decoding technique and show that it can be implemented by using an Inhomogeneous Diophantine Approximation algorithm. Secondly, we generalize some of these results to the complex Gaussian multi-dimensional lattices, and introduce the flatness factor as a design criterion for lattice codes.
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Contributor : Ali Osmane <>
Submitted on : Tuesday, April 10, 2012 - 12:37:33 AM
Last modification on : Friday, July 31, 2020 - 10:44:07 AM
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  • HAL Id : pastel-00686339, version 1



Ali Osmane. Spontaneous and Self-Organizing Networks: from Space-Time Coding to Network Coding. Electronics. Télécom ParisTech, 2011. English. ⟨pastel-00686339⟩



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