TY - GEN
T1 - Capacity maximizing power allocation for multi-channel visible light communications
AU - Gao, Qian
AU - Ekin, Sabit
AU - Qaraqe, Khalid
AU - Serpedin, Erchin
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Advances in visible light communication (VLC) technology and its smart-city applications have gained great interest, e.g., indoor light-fidelity (LiFi) and outdoor vehicle to vehicle (V2V). In order to fully explore the benefits of VLC under diverse channel/noise environments, it is important to schedule power efficiently so that the capacity is maximized or the error rate is minimized. We propose efficient optical power allocation algorithms for multi-channel single-user VLC capacity bounds maximization and error rate minimization for multi-user VLC with the existence of signal-dependent noise (SDN) for potential city applications. It is pointed out in this paper that the wellknown water-filling algorithm and its generalizations do not apply straightforwardly to the capacity bound optimization for VLC and other communication systems based on the intensity modulation and direct detection (IM/DD).
AB - Advances in visible light communication (VLC) technology and its smart-city applications have gained great interest, e.g., indoor light-fidelity (LiFi) and outdoor vehicle to vehicle (V2V). In order to fully explore the benefits of VLC under diverse channel/noise environments, it is important to schedule power efficiently so that the capacity is maximized or the error rate is minimized. We propose efficient optical power allocation algorithms for multi-channel single-user VLC capacity bounds maximization and error rate minimization for multi-user VLC with the existence of signal-dependent noise (SDN) for potential city applications. It is pointed out in this paper that the wellknown water-filling algorithm and its generalizations do not apply straightforwardly to the capacity bound optimization for VLC and other communication systems based on the intensity modulation and direct detection (IM/DD).
UR - http://www.scopus.com/inward/record.url?scp=85084669664&partnerID=8YFLogxK
U2 - 10.1109/ISC246665.2019.9071704
DO - 10.1109/ISC246665.2019.9071704
M3 - Conference contribution
AN - SCOPUS:85084669664
T3 - 5th IEEE International Smart Cities Conference, ISC2 2019
SP - 79
EP - 82
BT - 5th IEEE International Smart Cities Conference, ISC2 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Smart Cities Conference, ISC2 2019
Y2 - 14 October 2019 through 17 October 2019
ER -