Abstract

In this paper, we investigate a two-hop communication system in which the source utilizes radio frequency (RF) energy harvesting for the transmission of information. An intermediate relay works in a half-duplex (HD) mode in the energy harvesting (EH) phase to provide energy to the source. In the information transmission phase, the relay works in a full-duplex (FD) mode to receive information signals from the source and simultaneously transmit information signals to the destination in the same frequency band. The paper provides the analysis of outage probability and throughput of a FD relaying system and two HD relaying systems. The first HD system ( $HD_{1}$ ) has the same EH duration as the FD system while the second HD one ( $HD_{2}$ ) has the same transmitting power from the source as the FD one. The results show that the throughput with respect to the time split between the EH phase and the information transmission one is a concave function and the optimal time split can be calculated numerically. Besides, the polarization dissimilarity factor of the antennas used has an influence on the system throughput, which is maximized when polarization states are orthogonal. The FD system can double the system throughput while having the outage probability as low as that of the $HD_{1}$ system, at a cost of adopting the extra polarization-enabled digital cancellation (PDC) scheme. Meanwhile, the FD system can nearly double the system throughput while having the outage probability superior to that of the $HD_{2}$ system. Simulations are run to confirm the above analyses.

Highlights

  • In wireless sensor networks, deployed devices generally have a finite battery life

  • We assume the direct link from the source to the destination is not available and the information transmission between these two nodes relies on the assistance of the intermediate relay

  • The results show that the system throughput is a concave function with respect to the time split factor and the optimal time split can be numerically calculated

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Summary

Introduction

In wireless sensor networks, deployed devices generally have a finite battery life. Even impossible in some situations, such as underground and hazardous environments. Wireless energy harvesting (EH) provides a solution to prolong the lifetime of sensor networks [1]. Instead of the conventional EH technique harvesting energy from natural sources, such as solar, wind, and thermoelectric effects [2], [3], the radio frequency (RF) EH approach focuses on using man-made RF signals to achieve energy transfer. The RF signals are more controllable and less intermittent than natural sources. Since the information signals are RF signals, adopting the RF EH to the

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