Enhancement of Maximal Ratio Combiner over Log-Normal Fading Channel using Firefly Algorithm

  • Samson Iyanda Ojo Ladoke Akintola University of Technology, Ogbomoso, Nigeria
  • Robert Oluwayimika Abolade Ladoke Akintola University of Technology, Ogbomoso, Nigeria
  • Hamed Temitope Salami Lagos State University Epe, Epe, Nigeria
  • Zachaeus Kayode Adeyemo Ladoke Akintola University of Technology, Ogbomoso, Nigeria
  • Nafiu Olayiwola Akintoye The Polytechnic Ibadan, Ibadan, Nigeria
Keywords: Firefly Algorithm (FA), Maximum Ratio Combiner (MRC), Bit Error Rate (BER), Square Root Raise Cosine (SRRC) filter, log-normal fading channel.

Abstract

Wireless communication system has a great impact in the world of telecommunication and is expected to be a leading role in the developing a nation. However, the system is characterized by multipath propagation effects that lead to signal fluctuation at the receiver, thereby degrading the performance of the system. Maximal Ratio Combiner (MRC) being used to address this problem is characterized with hardware complexity that results in long processing time. Therefore, in this paper enhancement of MRC with closed form expression over Log-Normal fading channel is carried out using Firefly Algorithm (FA) at the receiver. FA create a flashing light in associated with Signal to Noise Ratio (SNR) of the received signal and output the signal with highest SNR. Randomly generated bits used as source data are modulated using M-ary Quadrature Amplitude Modulation (M-QAM) and transmitted over Log-Normal fading channel to generate resultant signals. The resultant signals at varying paths ‘L’ (2, 3, 4) are optimized by FA. The outputs of the FA are combined by MRC to obtain the received signal and converted to baseband through demodulation. A mathematical expression using the Probability Density Function (PDF) of Log-Normal fading channel at varying paths ’L’ for Bit Error Rate (BER) is also derived. The technique is simulated using MATLAB 7.4. The performance is evaluated using Signal-to-Noise Ratio (SNR), Bit Error Rate (BER) and Processing Time (PT). The result shows that, the enhanced MRC (eMRC) gave lower BER values when compared with conventional MRC with reduction in hardware complexity. The eMRC carried out can be used to enhance the performance of wireless communication system.

Author Biographies

Samson Iyanda Ojo, Ladoke Akintola University of Technology, Ogbomoso, Nigeria
Samson Iyanda Ojo received his B.Tech and M.Tech degrees in Electronic and Electrical Engineering in 2011 and 2018, respectively, from Ladoke Akintola University of Technology (LAUTECH), Ogbomoso, Nigeria. He is a registered member of Council for the Regulation of Engineering in Nigeria (COREN). He intends pursuing his Ph.D in signal processing in mobile communication
Robert Oluwayimika Abolade, Ladoke Akintola University of Technology, Ogbomoso, Nigeria

Robert Oluwayimika Abolade received B.Tech degree in Electronic and Electrical Engineering from Ladoke Akintola University of Technology (LAUTECH), Ogbomoso, Nigeria. and MSc degree in Electrical and Electronic Engineering from Obafemi Awolowo University (OUA), Ile-Ife, Nigeria. He received his Ph.D. degree in Electronic and Electrical Engineering from Ladoke Akintola University of Technology (LAUTECH), Ogbomoso, Nigeria. He is a member of IEEE and registered member of Council for the Regulation of Engineering in Nigeria (COREN).

Hamed Temitope Salami, Lagos State University Epe, Epe, Nigeria

Hamed Temitope Salami received his post graduate Diploma (PGD) in Electronic and Computer Engineering from Lagos State University (LASU), Epe, Nigeria. Currently his pursuing his M.Sc in wireless communication from the same University.

Zachaeus Kayode Adeyemo, Ladoke Akintola University of Technology, Ogbomoso, Nigeria

Zachaeus Kayode Adeyemo received B.Eng. and M.Eng. degree in Electrical Engineering from University of Ilorin, Ilorin Nigeria and his Ph.D. degree in Electronic and Electrical Engineering in 2009 from Ladoke Akintola University of Technology (LAUTECH), Ogbomoso, Nigeria. He is an associate professor of Electronic and Electrical Engineering. He is a member of IEEE and registered member of Council for the Regulation of Engineering in Nigeria (COREN). His research interest is on signal processing in mobile communications.

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Published
2019-05-01