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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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Proceedings ArticleDOI

Secrecy analysis based on energy threshold for simultaneous wireless information and power transfer in Internet of Things

TL;DR: Two thresholds of eavesdropping are proposed to analyze the eavesdropping behaviors of ERs in different scenarios, based on which the curiosity probabilities are respectively obtained, and the average secrecy outage probability is derived through the comprehensive analysis on different links in an entire period.
Proceedings ArticleDOI

Wireless powered dual-hop multiple antenna relay transmission in the presence of interference

TL;DR: By increasing the energy harvesting capability, the implementation of multiple antennas significantly improves the systems performance, and CCI could be potentially exploited to boost the performance, while how much performance gain can be obtained depends on the choice of the linear processing scheme.
Journal ArticleDOI

Heterogeneously Reconfigurable Energy Harvester: An Algorithm for Optimal Reconfiguration

TL;DR: A heterogeneously reconfigurable energy harvester which contains multiple energy harvesting blocks, each comprised of multiple EH circuits in parallel to be optimized for different input power ranges, which can be applied to low-power Internet-of-Things devices with wireless EH capability for self-sustainability.
Journal ArticleDOI

Performance Optimization Method of Relay undergo Co-Channel Interference using Power Splitting Protocol

TL;DR: This paper proposed optimization of system performance, power splitting protocols applied to relay in the cooperative communication undergo co-channel interference, and performance of the proposed protocol is analyzed in terms of outage probability, capacity of system.

Relay Selection Based on Simultaneous Wireless Information and Power Transfer for Wireless Sensor Networks

TL;DR: This paper considers a wireless sensor relay network, where relay nodes forward a radio frequency signal from a source node to a destination node by first harvesting energy from the RF signal, and proposes relay selection schemes in order to obtain the best rate performance.
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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