Abstract
Wireless energy harvesting has emerged as an efficient technique to prolong the network life time of energy constrained network. In this paper, we propose a simultaneous wireless information and power transfer (SWIPT) based decode-and-forward (DF) cognitive two-way relay network. In our proposed network the primary nodes communicate with each other via an energy constrained intermediate DF relay. The relay node first harvests the energy from the source signals and then uses this harvested power to decode-and-forward these received primary signals to their respective destinations. In addition to primary signals relay also utilizes some portion of the harvested power to transmit its own information signal to a secondary node. Our simulation result shows that the proper setting of energy harvesting and power allocation parameters can significantly improve the overall network throughput. We also show the effect of various system parameters on overall system performance.
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Acknowledgment
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIP) (2014R1A5A1011478). Prof. Min Young Chung is corresponding author.
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Shah, S.T., Chung, M.Y. (2017). Throughput Analysis of a SWIPT Enabled Two-Way Decode-and-Forward Cognitive Relay Network. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10408. Springer, Cham. https://doi.org/10.1007/978-3-319-62404-4_13
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DOI: https://doi.org/10.1007/978-3-319-62404-4_13
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