A Novel Tensor-Based Receiver for Joint Symbol and Channel Estimation in Two-Hop Cooperative MIMO Relay Systems


During this letter, we develop a unique tensor-primarily based receiver for 2-hop cooperative multiple-input multiple-output (MIMO) relay systems. At the supply node, the proposed transmit signal style combines the linear constellation precoding with time-domain spreading. We have a tendency to show that the received signal at the destination node is formulated as a fourth-order tensor satisfying a nested parallel factor (PARAFAC) model, and then a replacement tensor-primarily based receiver springs by resorting to the proposed receiver algorithm. Below the belief that channel state information (CSI) isn't out there at every node, the proposed receiver jointly estimates the channel parameters and transmitted symbols. Numerical results show that the proposed receiver outperforms some competing tensor-based receivers and operates shut to the zero forcing (ZF) receiver with perfect CSI.

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