Open AccessEnergy Efficient Fractional Particle Swarm Optimization Based Power Allocation in MIMO-NOMA System
Author(s) -
Shaik Khaleelahmed,
Nandhanavanam Venkateswararao
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k2135.0981119
Subject(s) - particle swarm optimization , mimo , noma , computer science , mathematical optimization , spectral efficiency , quality of service , power (physics) , bit error rate , energy (signal processing) , efficient energy use , real time computing , optimization problem , wireless , electronic engineering , algorithm , engineering , computer network , telecommunications , mathematics , electrical engineering , channel (broadcasting) , telecommunications link , statistics , physics , quantum mechanics
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.