Energy efficient fractional particle swarm optimization based power allocation in MIMO-NOMA system

0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Non-Orthognal Multiple Access (NOMA) is a key technology used for improving the achievable rate in Multiple Input Multiple Output (MIMO) wireless networks of the next generation. In MIMO-NOMA systems the Energy Efficiency (EE) needs to be improved by a Fractional Particle Swarm Optimization Algorithm (FPSO) based on user ordering. To recommend capable energy and power allocation in the platform efficiently, the proposed optimization algorithm prioritizes the users based on satisfying the quality of service (QoS) and maximum power constraints. The FPSO algorithm prioritizes the users in optimal way by using objective function. The simulated results are analyze using the assessment metrics, like Bit Error Rate (BER), achievable rate, energy and spectral power. The performance of the FPSO-based power allocation approach is showing the higher spectral power, energy, achievable rate are 113.1915dB, 19.4898dB, 81.19153Mbps and lower BER of 0.0000152 respectively.

Cite

CITATION STYLE

APA

Khaleelahmed, S., & Venkateswararao, N. (2019). Energy efficient fractional particle swarm optimization based power allocation in MIMO-NOMA system. International Journal of Innovative Technology and Exploring Engineering, 8(11), 1933–1939. https://doi.org/10.35940/ijitee.K2135.0981119

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free