Abstract
In this paper, we investigate the transceiver design for amplify-and-forward (AF) interference multiple-input multiple-output (MIMO) relay communication systems when the direct links between the source and destination nodes are taken into consideration. The minimum mean-squared error (MMSE) of the signal waveform estimation at the destination nodes is chosen as the design criterion to optimize the source, relay, and receiver matrices for interference suppression. As the joint source, relay, and receiver optimization problem is nonconvex with matrix variables, a globally optimal solution is computationally intractable to obtain. We propose two iterative algorithms to provide computationally efficient solutions to the original problem through solving convex subproblems. These two algorithms provide efficient performance-complexity trade-off. Simulation results demonstrate that the proposed algorithms converge quickly after a few iterations and significantly outperform existing scheme in terms of the system bit error rate.
Highlights
Relay-aided multiple-input multiple-output (MIMO) communication technology has attracted great research interest recently [1,2]
In a MIMO relay system, communication between source nodes and destination nodes can be assisted by single or multiple relays equipped with multiple antennas
We investigate the transceiver design for AF interference MIMO relay communication systems where multiple source nodes transmit information simultaneously to the destination nodes with the aid of multiple relay nodes, and each node is equipped with multiple antennas
Summary
Relay-aided multiple-input multiple-output (MIMO) communication technology has attracted great research interest recently [1,2]. In [9], an iterative algorithm has been proposed to optimize the source beamforming vector and the relay precoding matrices to minimize the total source and relay transmit power such that a minimum signal-to-interference-plus-noise ratio (SINR) threshold is maintained at each receiver. During the second time slot, the received signal vector at the lth relay node is amplified with the Nrl × Nrl precoding matrix Fl as xrl = Flyrl, l = 1, · · · , L. We aim at optimizing the source precoding matrices {Bk} = {Bk, k = 1, · · · , K}, the relay precoding matrices {Fl} = {Fl, l = 1, · · · , L}, and the receiver weight matrices {Wk} = {Wk, k = 1, · · · , K}, to minimize the sum-MSE of the signal waveform estimation at the destination nodes under transmission power constraints at the source and relay nodes. We propose two iterative algorithms to solve the problem (Equations 12 to 14) by optimizing {Wk}, {Bk}, and {Fl} in an alternating way through solving convex subproblems
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