Doctoral Dissertations

Keywords and Phrases

Full-duplex communication; Mesh Network; Software-defined radio


“Connectivity with large coverage area; and an increase in spectral efficiency of communications are highly desired features for any wireless network. The presented research work addresses these two feature improvements. First, the work analyzed mesh networks to enhance connectivity for wireless networks. The work analyzed both homogeneous and heterogeneous mesh networks. The work includes the development of an Android application to enable smartphones with multiple interfaces, such as Wi-Fi, Bluetooth, and cellular services, to become convergence devices. These convergence devices are then used to build a heterogeneous mesh network improving connectivity and coverage area. Second, the work explored full-duplex communications, which can achieve twice the spectral efficiency achieved by existing half-duplex communications. A novel method was proposed to address the estimation of self-interference, besides the estimation of the communication channel. A system model was proposed and the performance limits of the estimators was determined. Both flat fading and frequency selective channels are used in this analysis. An experimental analysis was performed on the USRP family of devices in full-duplex communication. The internal leakage which manifests as internal self-interference in full-duplex operation was characterized across the operating frequencies of each device. Finally, the work analyzed the usage of learning techniques to improve channel estimations. The work explored two potential applications. First, the selection of a channel model from a poll of existing models; to match the dynamic channel conditions. The target learner was proposed for this dynamic selection. Second, to estimate the data which are missed not at random at the reception, and proposed to estimate these missed data using simple random imputation”--Abstract, page iv.


Zawodniok, Maciej Jan, 1975-

Committee Member(s)

Choi, Minsu
Zhang, Jiangfan
Adekpedjou, Akim


Electrical and Computer Engineering

Degree Name

Ph. D. in Electrical Engineering


This work was supported in part by the Intelligent Systems Center (ISC), Missouri University of Science and Technology.

Research Center/Lab(s)

Intelligent Systems Center


Missouri University of Science and Technology

Publication Date

Summer 2020

Journal article titles appearing in thesis/dissertation

  • Performance of IEEE 802.11s for wireless mesh telemetry networks
  • Convergence communication over heterogeneous mesh network for disaster and underserved areas
  • Measurement of internal self-interference of USRP family of devices in full-duplex operations
  • Transmitter leakage analysis when operating USRP (n210) in duplex mode
  • Channel estimators for full-duplex communication using orthogonal pilot sequences
  • Targeted learning for the dynamic selection of channel estimation methodology


xv, 154 pages

Note about bibliography

Includes bibliographic references.


© 2020 Arul Mathi Maran Chandran, All rights reserved.

Document Type

Dissertation - Open Access

File Type




Thesis Number

T 11738

Electronic OCLC #