Heterojen nano-ölçekli haberleşme kanallarının bilgi ve iletişim kuramsal modellemesi, tasarımı ve analizi

Nanoscale communication between nanodevices is a novel and interdisciplinary concept including nanotechnology, biotechnology and communication technology. The construction of nanonetworks by interconnecting nanodevices expands the capabilities of single nanodevices by means of cooperation between them. In this thesis, we first investigate the nanoscale molecular communication channel between cardiomyocytes, i.e., Gap Junction (GJ) communication channel, from an information theoretical perspective. In addition, we use the GJ communication model to establish relations between cardiac diseases and GJ communication parameters for diagnosis and treatment of cardiac diseases, which is promising for future nanomedicine and bio-inspired nanoscale communication applications. Next, we present several receiver designs for diffusion-based molecular communication which is very prone to intersymbol interference (ISI) due to residual molecules emitted previously. Furthermore, the stochastic nature of the molecule movements adds a signal dependent noise to the diffusion-based molecular communication. We introduce optimal sequence detection and channel equalization methods to mitigate ISI and signal dependent noise, which arise in the diffusion-based molecular communication. Afterwards, we introduce a novel nanoscale wireless communication technique: Wireless Nanoscale Magneto-Inductive (WNMI) communication in which the magnetic coupling between nanocoils is used to form a wireless communication channel. Then, we investigate the WNMI communication channel to reveal its communication capabilities using information theory. The numerical results reveal that the WNMI communication stands as a promising solution to nanoscale communication between nanodevices. Finally, we present another novel and radically different nanoscale communication method: Nanoscale Heat Communication (NHC) in which the heat transfer via diffusion of the thermal energy is used for communication at the nanoscale. In addition, we present an information theoretical analysis of the NHC channel to find its capacity.