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Linear transceiver designs are investigated for distributed two-way relaying networks,which aim at minimising the WeightedMean Square Error(WMSE) of data detections.The forwarding matrices at relays andequalization matrices at destinations are jointly optimised.To overcome the challenginglimitations introduced by individual powerconstraints,a Semi-Definite Relaxation(SDR)called element-wise relaxation is proposed,which can transform the original optimizationproblem into a standard convex optimizationproblem.In this research,two-way relaying isunderstood from a pure signal processing perspective which can potentially simplify thetheoretical analysis.Finally,simulation resultsare used for assessing the performance advantage of the proposed algorithm.
Linear transceiver designs are investigated for distributed two-way relaying networks, which aim at minimizing the Weighted Mean Square Error (WMSE) of data detections. Forwarding matrices at relays andequalization matrices at destinations are jointly optimized. To overcome the challenging limitations introduced by individual powerconstraints, a Semi-Definite Relaxation (SDR) called element-wise relaxation is proposed, which can transform the original optimization problem into a standard convex optimization problem. In this research, two-way relaying isunderstood from a pure signal processing perspective which can potentially simplify the theoretical analysis. Finally, simulation resultsare used for assessing the performance advantage of the proposed algorithm.