Recent Trends and Advances in Telecommunications and Sensing.

In the context of the 17th International Conference on Telecommunications (ConTEL), which took place at Graz University of Technology, Austria, from the 11th until the 13th of July 2023, the chairs of the conference were approached by MDPI to organize a Special Issue as part of the journal (ISSN: 1424-8220) [...

Novel Results on SNR Estimation for Bandlimited Optical Intensity Channels.

In a previous work of the author about non-data-aided estimation of the signal-to-noise ratio (SNR) for bandlimited optical intensity channels, a couple of limitations have been identified in terms of error performance and computational complexity. In the current paper, these deficiencies are avoided by the introduction of a second receiver filter with specific properties that is operated in parallel to the receiver filter normally used in this respect. Although not initially intended, the concept is also applied to data-aided SNR estimation by deriving a maximum likelihood algorithm and the Cramer-Rao lower bound (CRLB) as the theoretical limit of the error performance.

Non-Data-Aided SNR Estimation for Bandlimited Optical Intensity Channels.

Powerful and reliable estimation of transmission parameters is an indispensable task in each receiver unit-not only for radio frequency, but also for optical wireless communication systems. In this context, the signal-to-noise ratio (SNR) plays an eminent role, especially for adaptive scenarios. Assuming a bandlimited optical intensity channel, which requires a unipolar waveform design, an algorithm for SNR estimation is developed in this paper, which requires no knowledge of the transmitted data.

Data-Aided SNR Estimation for Bandlimited Optical Intensity Channels.

Not only for radio frequency but also for optical communication systems, knowledge of the signal-to-noise ratio (SNR) is essential, e.g., for an adaptive network, where modulation schemes and/or error correction methods should be selected according to the varying channel states.