PROJECT TITLE :

A Learning Approach for Low-Complexity Optimization of Energy Efficiency in Multicarrier Wireless Networks - 2018

ABSTRACT:

This Project proposes computationally efficient algorithms to maximise the energy efficiency in multicarrier wireless interference networks, by a suitable allocation of the system radio resources, namely, the transmit powers and subcarrier assignment. The problem is formulated as the maximization of the system world energy potency subject to both maximum power and minimum rate constraints. This ends up in a difficult nonconvex fractional downside, that is tackled through an interplay of fractional programming, learning, and game theory. The proposed algorithmic framework is provably convergent and includes a complexity linear in each the number of users and subcarriers, whereas other accessible solutions will solely guarantee a polynomial complexity in the number of users and subcarriers. Numerical results show that the proposed methodology performs similarly as alternative, a lot of complicated, algorithms.


Did you like this research project?

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


MTechProjects.com offering final year Python Based Machine Learning MTech Projects, Machine Learning IEEE Projects, IEEE Machine Learning Projects, Machine Learning MS Projects, Python Based Machine Learning BTech Projects, Machine
PROJECT TITLE :A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs - 2018ABSTRACT:Accurately predicting students' future performance based on their ongoing academic records is crucial
PROJECT TITLE :Optimal Bayesian Transfer Learning - 2018ABSTRACT:Transfer learning has recently attracted important research attention, because it simultaneously learns from different supply domains, that have plenty of labeled
PROJECT TITLE :Learning Graphs With Monotone Topology Properties and Multiple Connected Components - 2018ABSTRACT:Recent papers have formulated the problem of learning graphs from information as an inverse covariance estimation
PROJECT TITLE :Alternative to Extended Block Sparse Bayesian Learning and Its Relation to Pattern-Coupled Sparse Bayesian Learning - 2018ABSTRACT:We tend to consider the matter of recovering block sparse signals with unknown block

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

Project Enquiry