Linear Precoder Design for SWIPT With Finite-Alphabet Inputs and Statistical CSI

This paper considers the transmit linear precoding problem for a multiple-input-multiple-output system with simultaneous wireless information and power transfer (SWIPT), where we assume that the transmitter only has statistical channel state information. The optimal precoder is designed based on max...

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Veröffentlicht in:	IEEE access Jg. 7; S. 14013 - 14021
Hauptverfasser:	Tu, Xiaodong, He, Jiechuan, Zhu, Xiaodong, Zeng, Weiliang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Alphabets Codes Communications systems Energy levels Finite-alphabet inputs Lower bounds MIMO communication Mutual information Optimization Polynomials Power transfer precoder design Radio transmitters Receivers statistical CSI SWIPT Symmetric matrices
ISSN:	2169-3536, 2169-3536
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Abstract	This paper considers the transmit linear precoding problem for a multiple-input-multiple-output system with simultaneous wireless information and power transfer (SWIPT), where we assume that the transmitter only has statistical channel state information. The optimal precoder is designed based on maximizing the lower bound of average mutual information under the constraints of transmitting power and harvested energy level. Different from previous works on SWIPT, this paper formulates the design from the standpoint of realistic communication systems with finite-alphabet input signals instead of Gaussian input signals. The formulated problem is NP-hard, so a globally optimal solution cannot be found with polynomial-time complexity. However, by exploiting the structure of the problem, we develop two algorithms to obtain a near optimal solution, among which one is based on a semidefinite relaxation (SDR) technique and the other is based on power allocation. The SDR-based algorithm has more extensive applicability, while the power-allocation-based algorithm offers higher efficiency. The simulation results show the efficacy of the proposed algorithms.
AbstractList	This paper considers the transmit linear precoding problem for a multiple-input-multiple-output system with simultaneous wireless information and power transfer (SWIPT), where we assume that the transmitter only has statistical channel state information. The optimal precoder is designed based on maximizing the lower bound of average mutual information under the constraints of transmitting power and harvested energy level. Different from previous works on SWIPT, this paper formulates the design from the standpoint of realistic communication systems with finite-alphabet input signals instead of Gaussian input signals. The formulated problem is NP-hard, so a globally optimal solution cannot be found with polynomial-time complexity. However, by exploiting the structure of the problem, we develop two algorithms to obtain a near optimal solution, among which one is based on a semidefinite relaxation (SDR) technique and the other is based on power allocation. The SDR-based algorithm has more extensive applicability, while the power-allocation-based algorithm offers higher efficiency. The simulation results show the efficacy of the proposed algorithms.
Author	He, Jiechuan Zhu, Xiaodong Tu, Xiaodong Zeng, Weiliang
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SubjectTerms	Algorithms Alphabets Codes Communications systems Energy levels Finite-alphabet inputs Lower bounds MIMO communication Mutual information Optimization Polynomials Power transfer precoder design Radio transmitters Receivers statistical CSI SWIPT Symmetric matrices
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Title	Linear Precoder Design for SWIPT With Finite-Alphabet Inputs and Statistical CSI
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