TY - GEN
T1 - Adaptive DCO-OFDM for underwater visible light communications
AU - Elamassie, Mohammed
AU - Karbalayghareh, Mehdi
AU - Miramirkhani, Farshad
AU - Uysal, Murat
N1 - Funding Information:
This work was supported by the Turkish Scientific and Research Council under Grant 215E119. The statements made herein are solely the responsibility of the authors.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - Visible light communication (VLC) has been introduced as a complementary technology to acoustic communications for underwater applications. Underwater VLC can achieve much higher data rates sufficiently high for real-time image and video transmission. Such high data rates over underwater channels with frequency-selectivity necessitate the use of efficient multi-carrier techniques such as orthogonal frequency division multiplexing. In this paper, we consider an adaptive DC-biased optical OFDM (DCO-OFDM) underwater VLC system. The design of adaptive algorithm is formulated to maximize the throughput under error rate performance constraints. The receiver first calculates the signal-to-noise ratio (SNR) per each subcarrier. Then, based on SNR information, it determines which subcarrier should be loaded first and selects the maximum constellation size for each subcarrier while satisfying a predefined targeted bit error rate (BER). Our simulation results demonstrated that significant improvements in throughput can be obtained through link adaptation.
AB - Visible light communication (VLC) has been introduced as a complementary technology to acoustic communications for underwater applications. Underwater VLC can achieve much higher data rates sufficiently high for real-time image and video transmission. Such high data rates over underwater channels with frequency-selectivity necessitate the use of efficient multi-carrier techniques such as orthogonal frequency division multiplexing. In this paper, we consider an adaptive DC-biased optical OFDM (DCO-OFDM) underwater VLC system. The design of adaptive algorithm is formulated to maximize the throughput under error rate performance constraints. The receiver first calculates the signal-to-noise ratio (SNR) per each subcarrier. Then, based on SNR information, it determines which subcarrier should be loaded first and selects the maximum constellation size for each subcarrier while satisfying a predefined targeted bit error rate (BER). Our simulation results demonstrated that significant improvements in throughput can be obtained through link adaptation.
KW - Bit loading
KW - Link adaptation algorithm
KW - Orthogonal frequency division multiplexing
KW - Underwater visible light communication
UR - http://www.scopus.com/inward/record.url?scp=85071993014&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85071993014&partnerID=8YFLogxK
U2 - 10.1109/SIU.2019.8806323
DO - 10.1109/SIU.2019.8806323
M3 - Conference contribution
AN - SCOPUS:85071993014
T3 - 27th Signal Processing and Communications Applications Conference, SIU 2019
BT - 27th Signal Processing and Communications Applications Conference, SIU 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th Signal Processing and Communications Applications Conference, SIU 2019
Y2 - 24 April 2019 through 26 April 2019
ER -