Survey of energy-autonomous solar cell receivers for satellite–air–ground–ocean optical wireless communication

Meiwei Kong, Chun Hong Kang, Omar Alkhazragi, Xiaobin Sun, Yujian Guo, Mohammed Sait, Jorge Alberto Holguin Lerma, Tien Khee Ng, Boon S. Ooi

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

Abstract

With the advent of the Internet of Things, energy- and bandwidth-related issues are becoming increasingly prominent in the context of supporting the massive connectivity of various smart devices. To this end, we propose that solar cells with the dual functions of energy harvesting and signal acquisition are critical for alleviating energy-related issues and enabling optical wireless communication (OWC) across the satellite–air–ground–ocean (SAGO) boundaries. Moreover, we present the first comprehensive survey on solar cell-based OWC technology. First, the historical evolution of this technology is summarized, from its beginnings to recent advances, to provide the relative merits of a variety of solar cells for simultaneous energy harvesting and OWC in different application scenarios. Second, the performance metrics, circuit design, and architectural design for energy-autonomous solar cell receivers are provided to help understand the basic principles of this technology. Finally, with a view to its future application to SAGO communication networks, we note the challenges and future trends of research related to this technology in terms of channel characterization, light source development, photodetector development, modulation and multiplexing techniques, and network implementations.
Original languageEnglish (US)
Pages (from-to)100300
JournalProgress in Quantum Electronics
DOIs
StatePublished - Oct 14 2020

Bibliographical note

KAUST Repository Item: Exported on 2020-10-16
Acknowledged KAUST grant number(s): BAS/1/1614-01-01, GEN/1/6607-01-01, KCR/1/2081-01-01, KCR/1/4114-01-01, OSR-CRG2017-3417
Acknowledgements: This study was supported by the King Abdullah University of Science and Technology (KAUST) under funding codes BAS/1/1614-01-01, KCR/1/2081-01-01, KCR/1/4114-01-01, and GEN/1/6607-01-01, and by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No. OSR-CRG2017-3417.

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