Focus on maximizing the energy efficiency (EE) of MIMO VLC systems, where the non-negativeness of the transmit signal, the optical and electrical power constraints, and the data rate and bit error rate (BER) requirements are taken into account.
In this project, we focus on maximizing the energy efficiency (EE) of MIMO VLC systems. As, Multiple-input multiple-output (MIMO) visible light communication (VLC) systems can support high data rates for indoor communications. Where the non-negativeness of the transmit signal, the optical and electrical power constraints, and the data rate and bit error rate (BER) requirements are taken into account.
The formulated problem is a difficult nonlinear fractional program. We exploit the Dinkelbach’s algorithm and Lagrangian analysis to obtain a semi closed form solution. The performance advantage of the proposed design is verified by simulation results.
Keywords: Energy efficiency (EE), Fractional Programming, Multiple-Input Multiple Output (MIMO), Visible Light Communication (VLC)
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Software: Matlab 2018a or above
Hardware:
Operating Systems:
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