My Account | Careers | Downloads | Blog

PROJECT TITLE :

Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces - 2018

ABSTRACT:

In this Project, we contemplate the potential of knowledge transmission in a system with a large number of radiating and sensing elements, thought of as a contiguous surface of electromagnetically active material. We have a tendency to refer to the current as a large intelligent surface (LIS), which is a newly proposed concept and conceptually goes beyond modern large MIMO technology. First, we tend to consider capacities of single-antenna autonomous terminals communicating to the LIS where the complete surface is employed as a receiving antenna array in a excellent line-of-sight propagation atmosphere. Under the condition that the surface space is sufficiently large, the received signal after a matched-filtering operation can be closely approximated by a sinc-function-like intersymbol interference channel. Second, we analyze a normalized capacity measured per unit surface, for a mounted transmit power per volume unit with different terminal deployments. As terminal density increases, the limit of the normalized capability [nats/s/Hz/volume-unit] achieved when wavelength ? approaches zero is equal to 0.5 of the transmit power per volume unit divided by the noise spatial power spectral density. Third, we show that the quantity of independent signal dimensions that can be harvested per meter deployed surface is 2/? for one-dimensional terminal deployment, and p/? 2 per sq. meter for two- and 3-dimensional terminal deployments. Finally, we have a tendency to think about implementations of the LIS in the shape of a grid of typical antenna elements, and show that the sampling lattice that minimizes the surface space and simultaneously obtains one freelance signal dimension for every spent antenna is the hexagonal lattice.


Did you like this research project?

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

PROJECT TITLE : Realization of Spatial Sparseness by Deep ReLU Nets With Massive Data ABSTRACT: The tremendous success of deep learning presents significant challenges that must be addressed immediately if we are to understand
PROJECT TITLE :Massive Streaming PMU Data Modelling and Analytics in Smart Grid State Evaluation based on Multiple High-Dimensional Covariance Test - 2018ABSTRACT:Analogous deployment of part measurement units (PMUs), the increase
PROJECT TITLE :In-Memory Stream Indexing of Massive and Fast Incoming Multimedia Content - 2018ABSTRACT:In this text, a media storm indexing mechanism is presented, where media storms are outlined as quick incoming batches. We
PROJECT TITLE :A Successive Optimization Approach to Pilot Design for Multi-Cell Massive MIMO Systems - 2018ABSTRACT:During this letter, we tend to introduce a completely unique pilot design approach that minimizes the entire
PROJECT TITLE :Symbol Error Rate Performance of Box-Relaxation Decoders in Massive MIMO - 2018ABSTRACT:The utmost-chance (ML) decoder for image detection in giant multiple-input multiple-output wireless communication systems is

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

Project Enquiry