Global Energy Efficiency Optimization for Wireless-Powered Massive MIMO Aided Multiway AF Relay Networks - 2018


This Project considers a wireless-powered massive multi-input multioutput aided multiway amplify-and-forward relay network, where a relay equipped with large antennas charges users through energy beamforming and assists with wireless info transmission. For this method, we have a tendency to propose a completely unique energy-economical resource allocation theme for the worldwide energy efficiency (GEE) optimization. In specific, we tend to 1st derive an correct closed-type expression of GEE when zero-forcing transceivers are utilized in the considered system. Second, based mostly on this analytical expression, we tend to formulate a resource allocation optimization drawback for the GEE maximization by jointly optimizing power and time allocation, subject to restricted transmit power, time period, and minimum quality-of-service constraints. Thanks to the complexity of this nonconvex optimization, a 2-layer iterative algorithm is proposed to address the original GEE maximization drawback. Numerical results demonstrate the accuracy of our theoretical analysis and also the effectiveness of the derived algorithms.

Did you like this research project?

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

PROJECT TITLE :Global Optimality in Low-Rank Matrix Optimization - 2018ABSTRACT:This Project considers the minimization of a general objective function f(X) over the set of rectangular n × m matrices that have rank at most r.
PROJECT TITLE :Multi-Label Learning with Global and Local Label Correlation - 2018ABSTRACT:It is well-known that exploiting label correlations is vital to multi-label learning. Existing approaches either assume that the label
PROJECT TITLE :Extremum Seeking Control-based Global Maximum Power Point Tracking algorithm for PV array under partial shading conditions - 2017ABSTRACT:The aim of this paper is to gift a general description concerning the method
PROJECT TITLE :Adaptive Global Fast Terminal Sliding Mode Control of Grid-connected Photovoltaic System Using Fuzzy Neural Network Approach - 2017ABSTRACT:In this paper, an adaptive international quick terminal sliding mode control
PROJECT TITLE : GALLOP: Global feature fused Location Prediction for Different Check-in Scenarios - 2017 ABSTRACT: Location prediction is widely used to forecast users' next place to visit primarily based on his/her mobility

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

Project Enquiry