Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


PhD_Dissertation-1__final format approved LW 7-9-2024).pdf (2.6 MB)

Digital Accessibility Report

File List


Acrobat Accessibility Report__LW__.pdf (73.69 KB)

ETD Abstract Container

Abstract Header

Intelligent Channel Estimation and Sensing in Next-Generation Wireless Networks

Kumar, Venkataramani
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1720527756125356

Abstract Details

2024, Doctor of Philosophy (Ph.D.), University of Dayton, Electrical and Computer Engineering.
Internet of things (IoT), an all pervasive technology, is expected to reach 41 billions by 2027. Such a revolutionary technology is utilized in plethora of applications such as health, and agriculture. IoT offers numerous advantages in terms of computing, and intelligence. Such a growth of IoT devices lead to the proliferation of wireless technologies to cater to the growing demands of users. Such proliferation of wireless technologies pose multiple challenges such as higher interference, limited spectrum resources, compatibility issues between different standards, and higher power consumption. The existing approaches as well as their limitations are surveyed in addition to including end-to-end deep learning based frameworks to alleviate the challenges described above. The proposed framework is validated, and evaluated on open-source and real-time data respectively.
Bradley Ratliff (Committee Chair)
Ying-Ju Chen (Committee Member)
Dong Cao (Committee Member)
Feng Ye (Committee Member)
101 p.
Computer Engineering; Information Science; Information Technology; Mathematics
IoT, deep-learning, wireless technologies

Recommended Citations

Citations

  • Kumar, V. (2024). Intelligent Channel Estimation and Sensing in Next-Generation Wireless Networks [Doctoral dissertation, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1720527756125356

    APA Style (7th edition)

  • Kumar, Venkataramani. Intelligent Channel Estimation and Sensing in Next-Generation Wireless Networks . 2024. University of Dayton, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1720527756125356.

    MLA Style (8th edition)

  • Kumar, Venkataramani. "Intelligent Channel Estimation and Sensing in Next-Generation Wireless Networks ." Doctoral dissertation, University of Dayton, 2024. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1720527756125356

    Chicago Manual of Style (17th edition)

dayton1720527756125356
79
© 2024, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.