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Hardware-efficient low-complexity precoding is very important in the downlink of Massive MIMO systems for mitigating interference and optimizing performance. In this paper, we propose a correlation-driven optimized Taylor expansion (CD-OTE) precoding scheme to simplify linear minimum mean square error (MMSE) precoding. In order to simplify the hardware-expensive matrix inversion involved in the linear...
This paper proposes a novel precoding scheme for multiuser multiple-input–multiple-output (MIMO) relay systems in the presence of imperfect channel state information (CSI). The base station (BS) and the MIMO relay station (RS) are both equipped with the same codebook of unitary matrices. According to each element of the codebook, we create a <bold>latent</bold> precoding matrix pair, namely,...
This paper presents joint transmit diversity selection (TDS) and relay selection (RS) algorithms based on discrete stochastic optimization for a multi-relay cooperative MIMO system. A two-phase, decode-and-forward (DF) network with a non-negligible direct path is considered where linear minimum mean square error (MMSE) receivers are used at all nodes. TDS and RS are performed jointly with continuous...
This paper presents a set of transmit diversity selection algorithms based on discrete stochastic optimization for a two-phase, decode-and-forward, multi-relay cooperative MIMO system with a non-negligible direct path. Transmit diversity selection is performed jointly with channel estimation using discrete stochastic and continuous least squares optimization, respectively. Linear minimum mean square...
This work presents joint iterative power allocation and interference suppression algorithms for DS-CDMA networks which employ multiple relays and the amplify and forward cooperation strategy. We propose a joint constrained optimization framework that considers the allocation of power levels across the relays subject to individual and global power constraints and the design of linear receivers for...
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