Samridhi

Work place: ECE Department, Guru Nanak Dev University, Regional Campus, Jalandhar 144009, India

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Research Interests: Computer systems and computational processes, Mathematics of Computing, Theory of Computation, Models of Computation

Biography

Samridhi B.Eng. is pursuing M.Tech from Guru Nanak Dev University, Regional Campus, Jalandhar. Her areas of interest include Statistical modelling of Fading Channels and Fading mitigation techniques in Wireless Communication.

Author Articles
Performance Evaluation of Channel Codes for High Data Rate Mobile Wireless System

By Samridhi Jyoteesh Malhotra

DOI: https://doi.org/10.5815/ijwmt.2015.04.03, Pub. Date: 26 Jul. 2015

Mobile wireless system incorporates dual sphere in terms of mobility as well as computing. Such systems have revamped momentously resulting in expedient wireless devices. Current wireless communication requires enormous data rates, streaming audio/video, asymmetric access/multiple access, fully-integrated, low cost, reliable seamless systems with the capability of providing voice, high speed data, and video with minimum latency and long battery life to enhance error free communication. However, there are many obstacles and bottlenecks to achieving this in practice. These bottlenecks include limited spectrum, limited energy, multipath fading and propagation loss, cost, standardization processes. This paper focuses on coding and modulation techniques for wireless communications so as to reduce/overcome many of these obstacles. To put the discussion in perspective, a short background on the coding and modulation approaches of wireless communication systems is provided. The turbo coding is mainly chosen to facilitate the wireless communication. The paper enlightens the impetus behind using turbo codes for high data rate mobile wireless systems. Paper explains how better out-turns can be yielded when approaches like cyclic redundancy check and scrambling are embedded with coding. The BER performance and SNR ratio are observed for illustrating variance between convolution and turbo coding for different rates and modulations. Simulation results are plotted using Matlab software.

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