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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Vydáno v:IEEE access Ročník 7; s. 14013 - 14021
Hlavní autoři: Tu, Xiaodong, He, Jiechuan, Zhu, Xiaodong, Zeng, Weiliang
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
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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Shrnutí: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.
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2894873