Approximate Capacity of a Class of Multi-source Gaussian Relay Networks

Computer Science – Information Theory

Scientific paper

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14 pages, 7 figures, submitted to IEEE Transactions on Information Theory

Scientific paper

We study a Gaussian relay network in which multiple source--destination (S--D) pairs communicate through relays without direct links between the sources and the destinations. We observe that the time-varying nature of wireless channels or fading can be used to mitigate the interference. The proposed block Markov amplify-and-forward relaying scheme exploits such channel variations and works for a wide class of channel distributions including Rayleigh fading. We completely characterize the degrees of freedom (DoF) region of the Gaussian relay network. Specifically, the DoF region of the $K$-user $M$-hop Gaussian relay network with $K_m$ nodes in the $m^{\mbox{th}}$ layer is the set of all $(d_1,\cdots,d_K)$ such that $d_i\leq 1$ for all $i$ and $\sum_{i=1}^K d_i\leq \min\{K_1,\cdots,K_{M+1}\}$, where $d_i$ is the DoF of the $i^{\mbox{th}}$ S--D pair and $K=K_1=K_{M+1}$ is the number of S--D pairs. We further characterize the DoF region of the Gaussian relay network with multi-antenna nodes and general message sets. The resulting DoF regions coincide with the DoF regions assuming perfect cooperation between the relays in each layer.

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