An improved Adaptive BeamForming Algorithm for 5G Interference-coexistence communication
Objective
A novel algorithm is proposed in antenna array processing to handle interference-coexistence communication. We adopt a linear filter which is called Linearly Constrained Minimum Variance (LCMV) filter.
Abstract
5G systems are introduced in the modern era to void latency, interference and to increase the system efficiency. But the coexistence in these systems may cause the users data to attack with interference. Hence, to avoid such interferences a new linear filter which is derived from the least mean square filter named as linearly constrained least mean square filter is designed.
In this filter cost function is estimated and the log sum penalty coefficients are added to it. From these operations the convergence rate of the filter will increase along with reduction in the mean square error. Experimental results reveal that this novel filter reduces the mean square error when compared to all other previous methods.
Keywords: 5G systems, constrained least mean square filter, Convergence rate, Mean square error.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Software: Matlab 2018a or above
Hardware:
Operating Systems:
- Windows 10
- Windows 7 Service Pack 1
- Windows Server 2019
- Windows Server 2016
Processors:
Minimum: Any Intel or AMD x86-64 processor
Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support
Disk:
Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation
Recommended: An SSD is recommended A full installation of all Math Works products may take up to 29 GB of disk space
RAM:
Minimum: 4 GB
Recommended: 8 GB
Learning Outcomes
- Introduction to Matlab
- What is EISPACK & LINPACK
- How to start with MATLAB
- About Matlab language
- Matlab coding skills
- About tools & libraries
- Application Program Interface in Matlab
- About Matlab desktop
- How to use Matlab editor to create M-Files
- Features of Matlab
- Basics on Matlab
- Basics of wireless communications
- How system modal can be formed in Matlab.
- Construction of algorithm according to system modal
- Analyzing and visualization of plots.
- Phases of data transmission:
- Generation of input signal
- Construction of transmitter
- Formation of channel
- Construction of receiver
- About Resource allocation
- About BER, outage probability
- About Interference coexistence communication.
- About network formation.
- About 5G technology.
- About Beam forming.
- How to extend our work to another real time applications
- Project development Skills
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginary skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
- Thesis writing skills
Related Projects
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects, are not associated or affiliated with IEEE, in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, and not projects of or by IEEE.
