Exploring the Different Preamble Detection Methods Using Wimax Technology with Additive White Gaussian Noise (AWGN) Channel

Rakesh, Jain and Shreyaskumar, Patel (2024) Exploring the Different Preamble Detection Methods Using Wimax Technology with Additive White Gaussian Noise (AWGN) Channel. International Journal of Trend in Scientific Research and Development, 8 (4). pp. 486-491. ISSN 2456-6470

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Abstract

This paper presents a comprehensive study of WiMAX-IEEE 802.16 standards and details a synchronization method for an OFDM communication system within a channel. In a multipath fading environment, the signal traverses through free space, exhibiting distinct characteristics in both the time and frequency domains. To achieve optimal spectral efficiency and bit error rate (BER) at the receiver, a precise synchronization model is essential. Synchronization requirements vary with the channel conditions, traffic patterns, and path loss components characteristic of different environments, such as urban and suburban areas. Timing synchronization identifies data burst arrivals and symbol boundaries, while frequency synchronization aligns the local oscillator with the carrier frequency. The prevalence of wireless communication systems globally underscores the relevance of this study. WiMAX operates at high data rates and, being a wireless technology, is susceptible to fading and attenuation due to noise, inter-symbol interference, and inter-carrier interference. This paper evaluates various preamble detection methods, including Schmidl and Cox maximum normalized correlation (SC), maximum normalized correlation using a geometric mean (GM), minimum mean squared error (MMSE), and maximum likelihood (ML). The analysis is conducted through an AWGN communication channel, employing QAM with OFDM modulation techniques. Performance is assessed based on sample versus detection values and MATLAB-R3013a simulations.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	20 Aug 2024 07:24
Last Modified:	21 Aug 2024 09:58
URI:	http://eprints.umsida.ac.id/id/eprint/14016

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