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Open AccessJournal ArticleDOI

Wireless Information Transfer with Opportunistic Energy Harvesting

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TLDR
In this paper, the authors considered a point-to-point wireless link over the narrowband flat-fading channel subject to time-varying co-channel interference and derived the optimal mode switching rule at the receiver to achieve various trade-offs between wireless information transfer and energy harvesting.
Abstract
Energy harvesting is a promising solution to prolong the operation of energy-constrained wireless networks. In particular, scavenging energy from ambient radio signals, namely wireless energy harvesting (WEH), has recently drawn significant attention. In this paper, we consider a point-to-point wireless link over the narrowband flat-fading channel subject to time-varying co-channel interference. It is assumed that the receiver has no fixed power supplies and thus needs to replenish energy opportunistically via WEH from the unintended interference and/or the intended signal sent by the transmitter. We further assume a single-antenna receiver that can only decode information or harvest energy at any time due to the practical circuit limitation. Therefore, it is important to investigate when the receiver should switch between the two modes of information decoding (ID) and energy harvesting (EH), based on the instantaneous channel and interference condition. In this paper, we derive the optimal mode switching rule at the receiver to achieve various trade-offs between wireless information transfer and energy harvesting. Specifically, we determine the minimum transmission outage probability for delay-limited information transfer and the maximum ergodic capacity for no-delay-limited information transfer versus the maximum average energy harvested at the receiver, which are characterized by the boundary of so-called "outage-energy" region and "rate-energy" region, respectively. Moreover, for the case when the channel state information (CSI) is known at the transmitter, we investigate the joint optimization of transmit power control, information and energy transfer scheduling, and the receiver's mode switching. The effects of circuit energy consumption at the receiver on the achievable rate-energy trade-offs are also characterized. Our results provide useful guidelines for the efficient design of emerging wireless communication systems powered by opportunistic WEH.

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Citations
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Book ChapterDOI

Packet Loss Rate Analysis of Wireless Sensor Transmission with RF Energy Harvesting

TL;DR: This paper derives the exact closed-form expression for the distribution function of harvested energy over a certain number of coherence time over Rayleigh fading channels with the consideration of hardware limitation, such as energy harvesting sensitivity and efficiency.
Journal ArticleDOI

Revisiting Information Detection and Energy Harvesting: A Power Splitting-Based Approach.

TL;DR: This paper designed the optimal dynamic power-splitting policy, which decides the optimal fractional power of the received signal used for energy harvesting at the receiver and proposed two types of single-threshold-based power- Splitting policies, namely, Policies I and II.
Book ChapterDOI

Joint Power and Splitting Factor Allocation Algorithms for Energy Harvesting Enabled Hybrid Cellular Networks

TL;DR: A resource allocation scheme, which jointly optimizes transmit powers of base station and received power splitting ratios for energy harvesting and information processing at the users and its ability to improve network performance is developed.
Proceedings ArticleDOI

Transmit Antenna Selection for Interference Aided Wireless Energy Harvesting in Cache-Assisted Cognitive Relay Networks

TL;DR: This work proposes a transmit antenna selection with maximal-ratio combining (TAS-MRC) based scheme to improve performance of secondary network in presence of multiple primary interferers and presents simulation results demonstrating the effectiveness of the proposed scheme.
Dissertation

Cooperative routing for collision minimization in wireless sensor networks

TL;DR: This dissertation presents an optimization framework to minimize collision probability using cooperative routing in wireless sensor networks and proposes two near optimal cooperative routing algorithms that can significantly reduce the collision probability compared with existing cooperative routing schemes.
References
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Journal ArticleDOI

Interference Alignment and Degrees of Freedom of the $K$ -User Interference Channel

TL;DR: For the fully connected K user wireless interference channel where the channel coefficients are time-varying and are drawn from a continuous distribution, the sum capacity is characterized as C(SNR)=K/2log (SNR)+o(log( SNR), which almost surely has K/2 degrees of freedom.
Journal ArticleDOI

MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer

TL;DR: This paper studies a multiple-input multiple-output (MIMO) wireless broadcast system consisting of three nodes, where one receiver harvests energy and another receiver decodes information separately from the signals sent by a common transmitter, and all the transmitter and receivers may be equipped with multiple antennas.
Journal ArticleDOI

Capacity of fading channels with channel side information

TL;DR: The Shannon capacity of a fading channel with channel side information at the transmitter and receiver, and at the receiver alone is obtained, analogous to water-pouring in frequency for time-invariant frequency-selective fading channels.
Journal ArticleDOI

Fading channels: information-theoretic and communications aspects

TL;DR: This paper describes the statistical models of fading channels which are frequently used in the analysis and design of communication systems, and focuses on the information theory of fading channel, by emphasizing capacity as the most important performance measure.
Journal ArticleDOI

A new achievable rate region for the interference channel

TL;DR: A new achievable rate region for the general interference channel which extends previous results is presented and evaluated and the capacity of a class of Gaussian interference channels is established.
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