TY - GEN
T1 - Reconciling approaches to SNR analysis in optical wireless communications
AU - Rahaim, Michael
AU - Little, Thomas D.C.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/5/10
Y1 - 2017/5/10
N2 - Optical communications, both fiber-optics and optical wireless (OWC), have a proven potential for high speed data transmission due to the vast optical spectrum. Given the ever increasing wireless data demand, we look towards OWC as a supplemental medium in heterogeneous networks (HetNets). In such networks, fair comparison of available connections is required for optimal allocation of resources. This comparison is essential for provisioning and analysis as well as in the decision metrics for handover and aggregation. As the optical communications field has developed, Signal to Noise Ratio (SNR) has been defined in various ways. Instantaneous optical power constraints have led the fiber- optics community to define SNR relative to peak- to-peak optical signal power. Additional average optical power constraints have led the OWC community to observe SNR relative to average optical signal power rather than average electrical signal power. Accordingly, the relationship between SNR and link performance has also changed. While the various definitions offer fair comparison under similar constraints, relative analysis is necessary when comparing the quality of multiple links in a HetNet or performance of networks operating under different constraints. In this paper, we reconcile three common SNR definitions and use symbol error rate (SER) analysis for pulse amplitude modulation in order to exemplify how different definitions affect the SER versus SNR curves.
AB - Optical communications, both fiber-optics and optical wireless (OWC), have a proven potential for high speed data transmission due to the vast optical spectrum. Given the ever increasing wireless data demand, we look towards OWC as a supplemental medium in heterogeneous networks (HetNets). In such networks, fair comparison of available connections is required for optimal allocation of resources. This comparison is essential for provisioning and analysis as well as in the decision metrics for handover and aggregation. As the optical communications field has developed, Signal to Noise Ratio (SNR) has been defined in various ways. Instantaneous optical power constraints have led the fiber- optics community to define SNR relative to peak- to-peak optical signal power. Additional average optical power constraints have led the OWC community to observe SNR relative to average optical signal power rather than average electrical signal power. Accordingly, the relationship between SNR and link performance has also changed. While the various definitions offer fair comparison under similar constraints, relative analysis is necessary when comparing the quality of multiple links in a HetNet or performance of networks operating under different constraints. In this paper, we reconcile three common SNR definitions and use symbol error rate (SER) analysis for pulse amplitude modulation in order to exemplify how different definitions affect the SER versus SNR curves.
UR - https://www.scopus.com/pages/publications/85020133366
UR - https://www.scopus.com/pages/publications/85020133366#tab=citedBy
U2 - 10.1109/WCNC.2017.7925911
DO - 10.1109/WCNC.2017.7925911
M3 - Conference contribution
AN - SCOPUS:85020133366
T3 - IEEE Wireless Communications and Networking Conference, WCNC
BT - 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017
Y2 - 19 March 2017 through 22 March 2017
ER -