Research Information System
Thesis Type: Doctorate
Institution Of The Thesis: Gazi University, Fen Bilimleri Enstitüsü, Turkey
Approval Date: 2023
Thesis Language: English
Student: Muhammed Yusuf ONAY
Supervisor: Özgür Ertuğ
Open Archive Collection: AVESIS Open Access Collection
Abstract:
With the rapid development of wireless communication systems, the number of applications in daily life has increased. This situation creates a problem in supplying energy to the devices in the system model. In addition to overcoming this problem, especially in new generation communication models, it is aimed for users in the network structure to transfer information at the highest possible bit rate and with low energy according to the constraints in the system. To achieve low-power communication, ambient backscatter communication technique has recently been proposed, which has attracted the attention of the academic community and industry. In this technique, which is a passive type of communication, users transfer information to the receiver by scattering the surrounding signals back. Using only this technique in the communication network cannot meet the requirements of new generation communication systems in terms of bit transmission rate. At this point, cognitive radio networks that use the communication infrastructure of the existing communication system in the environment have been integrated into the ambient backscatter communication technique. Within the scope of this thesis, ambient backscatter communication based cognitive radio networks, where energy harvesting technique, ambient backscatter communication and cognitive radio networks are considered together, have been modeled in order to both solve the energy problem required by the users and to design communication protocols that enable information exchange at the highest possible bit rate. In addition, relay users that contribute to performance in terms of bit transmission rate are included in the systems considered. Since the passive implementation of ambient backscatter communication systems leaves the existing system vulnerable to any external interference, the effect of this situation on the system performance was also evaluated. The convex problem in system models is maximized in terms of the number of bits transmitted to the receiver. At this point, the convex optimization problem is solved in the computer environment and the simulation results are shown graphically. The results showed that higher bit transmission rates were achieved compared to similar approaches in the literature.
Key Words : Wireless communication, ambient backscatter, cognitive radio networks, lineer energy harvesting, relay, convex optimization, bit rate