Bridging the complexity gap in Tbps-achieving THz-band baseband processing
Hadi Sarieddeen, Hakim Jemaa, Simon Tarboush, Christoph Studer,, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri

TL;DR
This paper explores how to achieve terabit-per-second data rates in THz-band communications by leveraging channel structures and parallel processing techniques to overcome hardware and processing constraints.
Contribution
It introduces a novel approach to map bits using structured sub-spaces of THz channels, enabling extensive parallelization in baseband processing.
Findings
Enhanced parallelization in channel decoding.
Efficient bit mapping using structured THz channel sub-spaces.
Improved detection and decoding with pseudo-soft reliability information.
Abstract
Recent advances in electronic and photonic technologies have allowed efficient signal generation and transmission at terahertz (THz) frequencies. However, as the gap in THz-operating devices narrows, the demand for terabit-per-second (Tbps)-achieving circuits is increasing. Translating the available hundreds of gigahertz (GHz) of bandwidth into a Tbps data rate requires processing thousands of information bits per clock cycle at state-of-the-art clock frequencies of digital baseband processing circuitry of a few GHz. This paper addresses these constraints and emphasizes the importance of parallelization in signal processing, particularly for channel code decoding. By leveraging structured sub-spaces of THz channels, we propose mapping bits to transmission resources using shorter code-words, extending parallelizability across all baseband processing blocks. THz channels exhibit…
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Taxonomy
TopicsPhotonic and Optical Devices · Microwave Engineering and Waveguides · Radio Frequency Integrated Circuit Design
