Hasanur Rahman’s scientific contributions

Understanding cyber security and how to put it to use is vital in today's technologically and network-connectedly driven society. Without proper safeguards in place, critical systems, files, data, and other digital assets are at risk of being compromised. The same level of security is required for all businesses, regardless of whether or not they specialize in IT. Even as new cyber security technology emerges, cybercriminals remain one step ahead. As a result, they are using more sophisticated hacking methods to target the vulnerabilities of numerous companies. Due to the accumulation, practice, and storage of vast amounts of data on PCs and other devices by military, political, financial, medical, and corporate institutions, cyber security is vital. Financial data, intellectual property, personal information, and other types of data for which unauthorized access or acquaintance could assure negative worries may make up a sizeable portion of that data.

The aim of this thesis to demonstrate net signal rates of 1 TB/s and 1.8 TB/s, respectively, for 16-bit and 14-bit (4-D) symbol information at 64 and 128 GBaud by precisely equalizing imperfections on both the transmitter and receiver sides using frequency-domain 8x2 multi-input multiple-output nonlinear pre-distortion and linear equalization. These rates were achieved by precisely equalizing imperfections on both sides. The capacity of a digital-coherent transceiver needs to be increased so that it can accommodate an increasing amount of network traffic in a manner that is both efficient and cost-effective. We have focused a lot of their attention on developing transceivers that are capable of operating at rates that are greater than one terabit per second for each wavelength. A fast Fourier transform-based, low-complexity 8x2 MIMO adaptive equalization is capable of providing accurate correction for linear impairments in transceivers. By employing a Volterra filter on the transmitter side (TxNLC), it is possible to improve the signal's quality while simultaneously correcting for the modulatornonlinear driver's response. We show through experimental validation that a SiGe DAC that works quickly and the proposed equalization are capable of producing 16-bit and 14-bit signals at 64 and 128 GBaud.