Diversity Combining for RF Energy Harvesting
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arXiv
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| Format: | Preprint |
| Published: |
2017
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| _version_ | 1866909797926830080 |
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| author | Altinel, Dogay Kurt, Gunes Karabulut |
| author_facet | Altinel, Dogay Kurt, Gunes Karabulut |
| contents | RF energy harvesting (RFEH) is a promising technology for energy requirements of wireless communication nodes. However, providing sufficient amount of energy to ensure self-sufficient devices based on RFEH may be challenging. In this paper, the use of diversity combining in RFEH systems is proposed to increase the amount of harvested energy. The power consumption of diversity combining process is also taken into account to analyze the net benefit of diversity combining. Performances of RFEH systems are investigated for selection combining (SC), equal gain combining (EGC), and maximal ratio combining (MRC) techniques. Simulations are conducted to compare the numerical results of SC, EGC, and MRC, and the results show that although the diversity combining techniques can improve the energy harvesting performance, the power consumption parameters have a critical importance while determining the suitable technique. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1705_10514 |
| institution | arXiv |
| publishDate | 2017 |
| record_format | arxiv |
| spellingShingle | Diversity Combining for RF Energy Harvesting Altinel, Dogay Kurt, Gunes Karabulut Information Theory Systems and Control Signal Processing RF energy harvesting (RFEH) is a promising technology for energy requirements of wireless communication nodes. However, providing sufficient amount of energy to ensure self-sufficient devices based on RFEH may be challenging. In this paper, the use of diversity combining in RFEH systems is proposed to increase the amount of harvested energy. The power consumption of diversity combining process is also taken into account to analyze the net benefit of diversity combining. Performances of RFEH systems are investigated for selection combining (SC), equal gain combining (EGC), and maximal ratio combining (MRC) techniques. Simulations are conducted to compare the numerical results of SC, EGC, and MRC, and the results show that although the diversity combining techniques can improve the energy harvesting performance, the power consumption parameters have a critical importance while determining the suitable technique. |
| title | Diversity Combining for RF Energy Harvesting |
| topic | Information Theory Systems and Control Signal Processing |
| url | https://arxiv.org/abs/1705.10514 |