Improving the bit error rate performance of In-Vivo radio channel using MLSE and channel coding

Basit Öğe Kaydı
dc.contributor.advisorBayat, Oğuz
dc.contributor.authorMezher, Mohanad Ahmed Mezher
dc.date.accessioned2022-07-25T11:45:48Z
dc.date.available2022-07-25T11:45:48Z
dc.date.issued2022en_US
dc.date.submitted2022
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractSome 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).en_US
dc.identifier.citationMezher, 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.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/2727
dc.identifier.yoktezid728684
dc.institutionauthorMezher, Mohanad Ahmed Mezher
dc.language.isoen
dc.publisherAltınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsüen_US
dc.relation.publicationcategoryTezen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBERen_US
dc.subjectChannel Codingen_US
dc.subjectIn-Vivoen_US
dc.subjectMACen_US
dc.subjectPolaren_US
dc.subjectWBANsen_US
dc.titleImproving the bit error rate performance of In-Vivo radio channel using MLSE and channel coding
dc.typeDoctoral Thesis

Dosyalar

Lisans paketi
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Tez Koleksiyonu