2020
DOI: 10.1109/access.2020.3027548
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Joint Precoder Design for SWIPT-Enabled MIMO Relay Networks With Finite-Alphabet Inputs

Abstract: In this paper, the problem of mutual information maximization in a two-hop multiple-input multiple-output (MIMO) relay network with simultaneous wireless information and power transfer (SWIPT) is investigated, where the relay node, without constant power supply, harvests the energy for information forwarding. The goal is to maximize the mutual information by using the joint design of source and relay precoders, which is formulated as an optimization problem under the constraints of transmit power and harvested… Show more

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Cited by 5 publications
(2 citation statements)
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References 39 publications
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“…In [2], for the multipleinput multiple-output (MIMO) SWIPT-based AF-TWR systems, hybridized power-time splitting ratios and precoders are obtained via the maximization of convexified bounds on the sum rate. In [24], [25], transceivers and splitters are designed via semi-definite relaxation (SDR) based convex problems for finite constellation symbols. For DF relaying in [23], power allocation and splitting ratios are computed via the formulated convex problem.…”
Section: Introductionmentioning
confidence: 99%
“…In [2], for the multipleinput multiple-output (MIMO) SWIPT-based AF-TWR systems, hybridized power-time splitting ratios and precoders are obtained via the maximization of convexified bounds on the sum rate. In [24], [25], transceivers and splitters are designed via semi-definite relaxation (SDR) based convex problems for finite constellation symbols. For DF relaying in [23], power allocation and splitting ratios are computed via the formulated convex problem.…”
Section: Introductionmentioning
confidence: 99%
“…In [2], for the multipleinput multiple-output (MIMO) SWIPT-based AF-TWR systems with hybridized power-time splitting ratios and precoders are obtained via the maximization of convexified bounds on the sum rate. In [24], [25], transceivers and splitting ratios are designed via semi-definite relaxation (SDR) based convex optimization technique for finite constellation symbols. For DF relaying in [23], power allocation and splitting ratios are computed via the formulated convex problem.…”
Section: Introductionmentioning
confidence: 99%