Bridging the Complexity Gap in Tb/S-Achieving THz-Band Baseband Processing


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Date

2024-10

Publication Type

Journal Article

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yes

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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 (Tb/s)-achieving circuits is increasing. Translating the available hundreds of gigahertz (GHz) of bandwidth into a Tb/s data rate requires processing thousands of information bits per clock cycle at state-of-theart clock frequencies of digital baseband processing circuitry of a few GHz. This article 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 codewords, extending parallelizability across all baseband processing blocks. THz channels exhibit quasi-deterministic frequency, time, and space structures that enable efficient parallel bit mapping at the source and provide pseudo-soft bit reliability information for efficient detection and decoding at the receiver.

Publication status

published

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Volume

31 (5)

Pages / Article No.

287 - 294

Publisher

IEEE

Event

Edition / version

Methods

Software

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Date created

Subject

Terahertz communications; Decoding; Baseband; Complexity theory; Throughput; Signal processing; Hardware

Organisational unit

09695 - Studer, Christoph / Studer, Christoph check_circle

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