Abstract
We consider the optimal precoder design with the assumption that the transmitter only has channel covariance information, for the multi‐input multi‐output (MIMO) information and energy transmission system. The objective of the system design is to maximize the average system information rate, meanwhile meeting the minimum energy requirement of the energy receiver. Following this objective, we formulate the problem as a semidefinite programming (SDP) and further transform it into a dual problem. Two methods are proposed to solve this problem: the first method decomposes the transmission covariance as a product of precoders so that the constrained optimization becomes an unconstrained one, whereas the second method derives the structure of the optimal transmission covariance analytically. Both methods are proved to be convergent and their overheads and complexity are also analyzed. The achievable rate‐energy (R‐E) regions for the proposed methods are presented in the simulation. Under various system settings, the superiority of the proposed methods is shown by comparing with a few existing transmission schemes.
Highlights
The rapidly development of wireless sensor networks has created many applications such as environmental monitoring, telemedicine system, and intelligent house system [1, 2]
Since radio frequency (RF) signals carrying energy can be used for information transmission, a novel research direction, simultaneous wireless information and power transfer (WIPT), appears
It is clear that, compared with the former two techniques, RF-based wireless power transfer (WPT) is more suitable for simultaneous wireless information and power transfer (WIPT)
Summary
The rapidly development of wireless sensor networks has created many applications such as environmental monitoring, telemedicine system, and intelligent house system [1, 2]. Energy harvesting is a promising technique to deal with this problem, prolonging the lifetime of the network, and has attracted a great deal of attention [6,7,8,9]. The techniques for wireless power transfer (WPT) can be divided into three categories [7]: (1) nearfield power transfer; (2) far-field directive power beaming; (3) far-field power transfer based on radio frequency (RF). Note that low-power RF signals are ambient and can be harvested by receivers from remote transmitters such as base stations and free WiFi hotspots. Since RF signals carrying energy can be used for information transmission, a novel research direction, simultaneous wireless information and power transfer (WIPT), appears. It is clear that, compared with the former two techniques, RF-based WPT is more suitable for simultaneous wireless information and power transfer (WIPT). This article applies RF signals in energy scavenging
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