My Account | Careers | Downloads | Blog

PROJECT TITLE :

Efficient Compressive Channel Estimation for Millimeter-Wave Large-Scale Antenna Systems - 2018

ABSTRACT:

Giant-scale antenna systems are thought of as a viable technology to catch up on huge path loss in millimeter-wave (mmWave) Communications. But, due to the huge antennas, the channel state information (CSI) acquisition is costly and challenging. During this Project, we develop a completely unique compressive channel estimation framework based mostly on multiple measurement vectors (MMV). Compared with conventional single measurement vector (SMV)-primarily based approach, the proposed framework exploits structural sparsity exhibited within the relatively made local scattering mmWave channels to greatly cut back the coaching and computational overheads. Moreover, we propose a channel subspace matching pursuit (CSMP) algorithm based on the MUltiple SIgnal Classification (MUSIC) as an MMV solver. By leveraging the advantages of MUSIC, the proposed CSMP can properly exploit the diversity gain from structural sparsity, and more improve the estimation quality via the superresolution capability. Meanwhile, an economical implementation technique of the proposed CSMP is additionally presented. Compared to the conventional MMV solver, the proposed CSMP exhibits abundant lower complexity. Finally, several simulation results show that the MMV-primarily based CSMP achieves significant performance gains over different estimation algorithms, especially when the angular resolutions are high. Regarding the computational price, the simulation result shows that the MMV-based mostly estimation algorithms are approximately 2 orders of magnitude smaller than the SMV-based estimation algorithms.


Did you like this research project?

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

PROJECT TITLE : TARA: An Efficient Random Access Mechanism for NB-IoT by Exploiting TA Value Difference in Collided Preambles ABSTRACT: The 3rd Generation Partnership Project (3GPP) has specified the narrowband Internet of Things
PROJECT TITLE : ESVSSE Enabling Efficient, Secure, Verifiable Searchable Symmetric Encryption ABSTRACT: It is believed that symmetric searchable encryption, also known as SSE, will solve the problem of privacy in data outsourcing
PROJECT TITLE : ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering ABSTRACT: A wide variety of big data applications generate an enormous amount of streaming data that is high-dimensional, real-time, and constantly
PROJECT TITLE : Efficient Shapelet Discovery for Time Series Classification ABSTRACT: Recently, it was discovered that time-series shapelets, which are discriminative subsequences, are effective for the classification of time
PROJECT TITLE : Efficient Identity-based Provable Multi-Copy Data Possession in Multi-Cloud Storage ABSTRACT: A significant number of clients currently store multiple copies of their data on a variety of cloud servers. This helps

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

Project Enquiry