PROJECT TITLE :

Estimation of Broadband Multiuser Millimeter Wave Massive MIMO-OFDM Channels by Exploiting Their Sparse Structure - 2018

ABSTRACT:

In millimeter wave (mm-wave) huge multiple-input multiple-output (MIMO) systems, acquiring accurate channel state info is crucial for efficient beamforming (BF) and multiuser interference cancellation, which could be a difficult task since a coffee signal-to-noise ratio is encountered before BF in giant antenna arrays. The mm-wave channel exhibits a three-D clustered structure in the virtual angle of arrival (AOA), angle of departure (AOD), and delay domain that's imposed by the impact of power leakage, angular spread, and cluster period. We tend to extend the approximate message passing (AMP) with a nearest neighbor pattern learning algorithm for improving the attainable channel estimation performance, that adaptively learns and exploits the clustered structure in the 3-D virtual AOA-AOD-delay domain. The proposed technique is capable of approaching the performance bound described by the state evolution based on vector AMP framework, and our simulation results verify its superiority in mm-wave systems related to a broad bandwidth.


Did you like this research project?

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


PROJECT TITLE : Attended End-to-end Architecture for Age Estimation from Facial Expression Videos ABSTRACT: The most difficult aspects of estimating age from facial expression films are modeling the static face appearance as
PROJECT TITLE : Resource estimation in T20 cricket ABSTRACT: While the Duckworth-Lewis technique (originally devised for one-day cricket) has been used in international T20 matches as well as the Indian Premier League, there have
PROJECT TITLE : Accurate Transmission Estimation for Removing Haze and Noise From a Single Image ABSTRACT: Image noise frequently results in depth-dependent artefacts while dehazing a single image. For noisy and foggy inputs,
PROJECT TITLE : Fast Single Image Dehazing Using Saturation Based Transmission Map Estimation ABSTRACT: Dehazing a single photograph has proven to be a difficult task due to the image's unnatural lighting. As a result, several
PROJECT TITLE : From Rank Estimation to Rank Approximation Rank Residual Constraint for Image Restoration ABSTRACT: Rank residual constraint (RRC) model is a new approach to the problem of rank minimization that we present in

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

Project Enquiry