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Diagonal Amplifying Matrix Design in Multihop Distributed Relay Networks.
- Source :
-
IEEE Transactions on Vehicular Technology . Jun2017, Vol. 66 Issue 6, p4797-4809. 13p. - Publication Year :
- 2017
-
Abstract
- In this paper, we study a multihop distributed relay network consisting of a single source–destination pair and multiple nonregenerative single-antenna relay nodes, which are arranged in different layers. Due to the distributed deployment, the amplifying matrix of the relay nodes at each layer has to be a diagonal matrix. We adopt a layer-by-layer approach to compute the relay amplifying matrices with the objective of maximizing the end-to-end transmission rate. The amplifying matrix of each layer is derived from a per-layer sum-rate maximization problem. When there is only one receiving node at the direct forward layer, the nonconvex per-layer sum-rate maximization problem is equivalently converted into a convex quadratically constrained quadratic program and could be efficiently solved. When there are multiple receiving nodes at the direct forward layer, the nonconvex per-layer sum-rate maximization problem is more challenging. We then transform it into a difference-of-convex program and design iterative convex programing to yield an approximate solution. The analysis shows that the proposed iterative algorithm will converge to local optima of the per-layer sum-rate maximization problem. Simulation results confirm that the proposed scheme outperforms the existing works in terms of the end-to-end transmission rate and is more effective in suppressing noise propagation. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00189545
- Volume :
- 66
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Vehicular Technology
- Publication Type :
- Academic Journal
- Accession number :
- 123805884
- Full Text :
- https://doi.org/10.1109/TVT.2016.2614985