Performance of Multi-Hop Cooperative Networks Subject to Timing Synchronization Errors


In this paper, we propose a mathematical model for timing synchronization errors in an exceedingly cascaded virtual multi-hop multiple-input multiple-output (MIMO) system that includes cooperation at every hop using decode-and-forward (DF) algorithm. Specifically, the DF relays are grouped to make clusters and one cluster transmits the same knowledge to the next cluster over orthogonal fading channels. The proposed error model is employed to study the statistics of the timing error from one cluster to the next and it's been shown that the variance of the timing errors gradually will increase as the information traverse the multi-hop network. The effects of the timing errors on the bit error likelihood (BEP) performance of the system have been quantified. For that purpose, the closed-kind expressions of the BEP for the network are derived for each hop with a explicit variety of nodes per hop. The results indicate that the BEP performance of the system degrades as the information propagates from hop to hop. We tend to quantify the minimum needed SNR and also the optimal variety of relays per cluster that guarantee successful traversal of knowledge to a specified variety of hop whereas keeping overall BEP below a outlined threshold.

Did you like this research project?

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

PROJECT TITLE : Comparing Different Resampling Methods in Predicting Students Performance Using Machine Learning Techniques ABSTRACT: Predicting students' performance is one of the most valuable and important research areas in
PROJECT TITLE : Using Cost-Sensitive Learning and Feature Selection Algorithms to Improve the Performance of Imbalanced Classification ABSTRACT: The problem of unbalanced data is common in network intrusion detection, spam filtering,
PROJECT TITLE : Deep Neural Networks Improve Radiologists Performance in Breast Cancer Screening ABSTRACT: To classify mammograms for breast cancer screening, we developed a deep convolutional neural network that was trained and
PROJECT TITLE : Predicting Detection Performance on Security X-Ray Images as a Function of Image Quality ABSTRACT: Research into how image quality impacts work performance is a hot topic in many industries. The security X-ray
PROJECT TITLE : A Novel Control Scheme for Enhancing the Transient Performance of an Islanded Hybrid AC-DC Microgrid ABSTRACT: In this research, we present an innovative supplementary feature for increasing the transient performance

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

Project Enquiry