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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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Journal ArticleDOI

Battery-Powered Devices in WPCNs

TL;DR: This paper studies the throughput optimization problem in a system composed of an access point, which recharges the batteries of two devices at different distances, and finds the best scheduling scheme, both for the energy transferred by the access point and for the data sent by the two nodes.
Journal ArticleDOI

Energy Harvesting Noncoherent Cooperative Communications

TL;DR: A noncoherent SWIPT framework for decode-and-forward (DF) relay systems bypassing the need for the instantaneous CSI and consequently saving energy in the network is proposed, and M-FSK results in a significant energy saving over M-DPSK for M ≥ 8 and may be more suitable for EH relay systems.
Journal ArticleDOI

Multi-Hop Cooperative Relaying With Energy Harvesting From Cochannel Interferences

TL;DR: Given a prescribed end-to-end (e2e) outage threshold, this letter identifies the largest number of hops that energy harvesting from CCIs can support, and the e2e outage probability is shown to be dominated by the quality of the desired channels along with the relaying link, almost regardless of the CCIs.
Journal ArticleDOI

Sustainable Cooperative Communication in Wireless Powered Networks With Energy Harvesting Relay

TL;DR: This paper proposes an optimal branch-and-bound framework to solve the formulated NP-hard non-convex mixed integer nonlinear programming problem, and develops an efficient sub-optimal offline algorithm and a heuristic online algorithm to reduce the computational complexity.
Posted Content

Cost minimization for fading channels with energy harvesting and conventional energy

TL;DR: In this paper, the authors investigated resource allocation strategies for a point-to-point wireless communications system with hybrid energy sources consisting of an energy harvester and a conventional energy source.
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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