PROJECT TITLE :

Average Secrecy Outage Rate and Average Secrecy Outage Duration of Wireless Communication Systems With Diversity Over Nakagami-m Fading Channels - 2018

ABSTRACT:

This Project presents an analytical methodology for the analysis of two important physical layer security metrics in wiretap channels. Specifically, we first introduce the concept and therefore the expression of average secrecy outage rate (ASOR) to quantify the typical secrecy level crossing rate at a predefined secrecy threshold level. Then, we derive the expression of a replacement metric, namely, average secrecy outage period (ASOD), which is a measure (in seconds) that describes how long on average the system remains within the secrecy outage status. The results are quite general and account for diversity-primarily based systems operating over independent and identically distributed (i.i.d.) Nakagami-m fading channels. Monte Carlo simulations are conducted to substantiate and discuss the analytical results. These results show that the ASOR and the ASOD are primarily tormented by the range order, and the most Doppler frequency shift. In particular, and in contrast to the ASOD, the ASOR has a most worth that should be thought-about in designing systems that are sensitive to secrecy level drops, even for short periods of your time. Also, the proposed new metric of ASOD might have giant values whether or not the currently used metric of average fade period shows low values on the Communication link under thought.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Human activity recognition based on spatial distribution of gradients at sub-levels of average energy silhouette images - 2016 ABSTRACT: The aim of this paper is to gift a unified framework for human action
PROJECT TITLE :Supervised approach for detecting average over popular items attack in collaborative recommender systemsABSTRACT:Recent research has shown the numerous vulnerabilities of collaborative recommender systems in the
PROJECT TITLE :Average Convergence Rate of Evolutionary AlgorithmsABSTRACT:In evolutionary optimization, it is necessary to understand how briskly evolutionary algorithms converge to the optimum per generation, or their convergence
PROJECT TITLE :Spectral CT Image Restoration via an Average Image-Induced Nonlocal Means FilterABSTRACT:Goal: Spectral computed tomography (SCT) images reconstructed by an analytical approach typically suffer from a poor signal-to-noise
PROJECT TITLE:Optimizing Average Precision Using Weakly Supervised DataABSTRACT:Several tasks in pc vision, like action classification and object detection, need us to rank a group of samples consistent with their relevance to

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry