This paper is published in Volume-4, Issue-5, 2018
Area
Electronics and Communication
Author
Pratik Singh, Manish Gupta, Anshuj Jain
Org/Univ
Scope College of Engineering, Bhopal, Madhya Pradesh, India
Pub. Date
06 September, 2018
Paper ID
V4I5-1187
Publisher
Keywords
PSO OFDM (Frequency division multiplexing), QAM, PSO

Citationsacebook

IEEE
Pratik Singh, Manish Gupta, Anshuj Jain. A review article of signal to noise ratio using frequency division multiplexing PSO algorithm, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Pratik Singh, Manish Gupta, Anshuj Jain (2018). A review article of signal to noise ratio using frequency division multiplexing PSO algorithm. International Journal of Advance Research, Ideas and Innovations in Technology, 4(5) www.IJARIIT.com.

MLA
Pratik Singh, Manish Gupta, Anshuj Jain. "A review article of signal to noise ratio using frequency division multiplexing PSO algorithm." International Journal of Advance Research, Ideas and Innovations in Technology 4.5 (2018). www.IJARIIT.com.

Abstract

The demand for high-speed mobile wireless communications is growing at a very fast rate. PSO OFDM technology is a key technique for achieving the high data rate and spectral efficiency requirements for wireless communication systems. Frequency Division Multiplexing (PSO OFDM) [3–6] has emerged as a successful air-interface technique. The Frequency division Multiplexing was originally developed from the multi-carrier modulation techniques used in high-Frequency military radios. This thesis presents, a Simulink based simulation system is implemented using Particle swarm optimization (PSO) to study the performance analysis of Bit Error Rate (BER) Vs Signal to Noise ratio (SNR). The model of PSO OFDM with Rician fading channel using Simulink in MATLAB is discussed. This model is used for performance enhancement of the PSO OFDM with QPSK and QAM modulation schemes and channel condition. The throughput and packet error rate is used to evaluate the performance of the MAC layer with the change in the physical layer parameter. The performance analysis of different technologies used in the QAM PSO OFDM is compared by visualizing the BER vs SNR curve.