My Account | Careers | Downloads | Blog

PROJECT TITLE :

Novel MF-TDMA/SCPC switching algorithm for DVB-RCS/RCS2 return link in railway scenario

ABSTRACT:

This work focuses on the return channel resource allocation in the DVB-RCS/RCS2 system for mobile terminals. A continuous carrier (CC) operation mode primarily based on DVB-S2/S2X is taken into account and investigated. The paper focuses on the likelihood of transmitting simultaneously in multifrequency-time division multiple access (MF-TDMA) or single channel per carrier (SCPC) medium access techniques, as prompt by a previous DVB-RCS+M customary. The introduction of this capability has also been analyzed for a new DVB-RCS2 normal that provides the likelihood of using each come link (RL) modalities. Moreover, we propose an in depth study of the RL channel during a satellite platform so as to understand the operative range of SCPC and MF-TDMA techniques. The contribution seeks to supply some threshold indications to network operators for dynamically managing satellite resources.We have a tendency to considered the railway market, which is characterised by an N-LOS condition because of blockage caused by tunnels, vegetation, and buildings, as the reference situation. Furthermore, we tend to introduced a transparent gap filler (GF) resolution to beat this issue. Simulation campaigns are shown, so as to convey satellite operators some tips, when they need to make use of this hybrid channel modality.


Did you like this research project?

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

PROJECT TITLE : Novel Secure Outsourcing of Modular Inversion for Arbitrary and Variable Modulus ABSTRACT: In the fields of cryptography and algorithmic number theory, modular inversion is regarded as one of the operations that
PROJECT TITLE : A Novel Blockchain Based Secured and QoS Aware IoT Vehicular Network in Edge Cloud Computing ABSTRACT: An IoT (Internet of Things)-based vehicular ad-hoc network and a software-defined network are the two components
PROJECT TITLE : Progressive Self-Supervised Clustering With Novel Category Discovery ABSTRACT: Clustering is one of the most classical methods used to analyze data structures in machine learning and pattern recognition at the
PROJECT TITLE : Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer ABSTRACT: The goal of low-rank minimization is to recover a matrix with the lowest possible rank while still satisfying the constraints
PROJECT TITLE : A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification ABSTRACT: One of the challenges that classification must overcome is the fact that the data

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

Project Enquiry