Improving the bit error rate performance of In-Vivo radio channel using MLSE and channel coding
[ X ]
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Some gadgets, such as wireless in-vivo actuators and sensors, have been identified as one of the
components of advanced technologies. In addition, in-vivo wireless medical devices and related
technologies represent the next stage of development, providing scalable and low-cost solutions
as well as wearable device integration. In-vivo WBAN devices reduce the invasiveness of
procedures while also providing continuous health monitoring. Furthermore, patient data may be
collected over a long period of time. Similarly, channel coding is considered a solution for
increasing the effectiveness and overcoming the wireless links suffering from Inter Symbol
Interference due to the signal path passing through flesh, bones, skins, and blood guaranteeing that
the received data is the same as the sent data, taking into account the large fading in in-vivo
channels due to the signal path passing through flesh, bones, skins, and blood guaranteeing that
the received data is the same as the sent data (ISI). Furthermore, all simulations were run with a
50 MHz bandwidth at Ultra-Wideband frequencies (3.10-10.60GHz). The data transmission performance over the in-vivo channel is increased in the present work by adopting appropriate
channel coding. Furthermore, the results reveal that when turbo codes are utilized for data, the bit
error rate performance associated with them improves significantly by increasing BER and
outperforms polar and convolutional codes. Apart from convolutional coding, other approaches
perform similarly, which becomes true as the length of the information block increases. The
simulation in this work shows that due to the dense structure of the human body, the in-vivo
channel performs worse than the Rayleigh channel due to the path by which the signal travels
(Flesh, Skins, Blood, Bones, Muscles, and Fat).
Açıklama
Anahtar Kelimeler
BER, Channel Coding, In-Vivo, MAC, Polar, WBANs
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Mezher, Mohanad Ahmed Mezher. (2022). Improving the bit error rate performance of In-Vivo radio channel using MLSE and channel coding. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.
