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Muhammad Haziq

Masters by Research

Project - A study on the Doppler Effect Influence on Subcarrier Power Allocation for a UWA OFDM system.

One of the main hindrances in achieving seamless global connectivity is the challenging nature of the underwater environment, making it one of the most complex and difficult communication channels. These challenges encompass high multipath propagation resulting in a considerable delay spread and limited bandwidth, with low speed of acoustic waves and a high relative motion of the nodes, leading to high Doppler shift and spread. Due to the distinctive characteristics of the channel, underwater communication demands solutions tailored according to the varying characteristics.

This research focuses on enhancing the transmission capability of underwater acoustic systems by considering the challenges associated with Orthogonal Frequency Division Multiplexing (OFDM)--based Underwater Acoustic communication (UWAC). The proposed scheme is divided into steps; the first step is to estimate the nonuniform subcarrier Doppler shift. The channel state information is calculated using the Doppler-compensated received signal. The second step sends feedback to the transmitter and a real-time adaptive strategy is proposed, wherein the power distribution is dynamically adjusted based on the estimated channel conditions. The proposed research aims to increase the spectral efficiency and optimise the SNR for each subcarrier.

Through a combination of signal processing, feedback and channel estimation based on accurately estimating the Doppler effect, this research seeks to enhance the reliability, efficiency and data rates achievable in UWAC. The system's reliability depends on accurately estimating the channel, considering the unique characteristics of UWA, such as multipath and Doppler shift. This research embarks on the adaptive power allocation strategies in the OFDM UWA system, considering the dynamic nature of the UWA channel.

Research Areas and Interests

  • Underwater Communications, Sensing and Physical layer security
  • Embedded systems and RTL design
  • Green Communication technologies

Qualifications

  • Bachelor of Science in Electrical Engineering, Pakistan Institute of Engineering and Science (PIEAS), 2022.

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Muhammad Haziq
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