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This paper derives an optimum relay amplifying matrix for a wireless relay network under channel uncertainty and received power constraints at the destination node. To achieve this objective, an amplify-and-forward strategy is employed at the relay nodes, and the minimum mean square error (MMSE) criteria is applied. And, for simplicity, this paper will assume a one-source-one-destination pair and...
This paper derives analytically an optimum amplifying relay matrix using the minimum mean square error (MMSE) criteria for a noncooperative amplify-and-forward (AF) distributed relay network. Global and local power constraints are included in the analysis. And a one-source-one-destination node pair and N-relay network is considered. Because the relays are noncooperative, this paper exploits the diagonal...
This paper presents node geometry and broadband jamming in noncooperative wireless relay networks under the received power constraint. Diagonal relay amplifying matrices based on minimum mean square error (MMSE) criteria corresponding to node geometry and broadband jamming in wireless networks under the received power constraint are derived. All relay nodes are assumed not to communicate with their...
In practice, in any wireless network where 1-source, N-relays and M-destinations exist, each relay node will most likely have different separations with the source and any destination. Therefore, relay node geometry effect in a single-input multiple-output (SIMO) system was studied in this paper. The main contribution of this paper is the derivation of an optimal diagonal amplifying relay matrix under...
The main contribution of this paper is the derivation of an optimal diagonal amplifying relay matrix. This matrix is for a non cooperative distributed wireless relay network in a jamming environment. Minimum mean square error (MMSE) criterion was used in this study. Jamming location was also studied in this paper. Results show that diversity of a system can be degraded or even get lost depending on...
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