6 research outputs found
Cross-Field Channel Estimation for Ultra Massive-MIMO THz Systems
The large bandwidth combined with ultra-massive multiple-input
multiple-output (UM-MIMO) arrays enables terahertz (THz) systems to achieve
terabits-per-second throughput. The THz systems are expected to operate in the
near, intermediate, as well as the far-field. As such, channel estimation
strategies suitable for the near, intermediate, or far-field have been
introduced in the literature. In this work, we propose a cross-field, i.e.,
able to operate in near, intermediate, and far-field, compressive channel
estimation strategy. For an array-of-subarrays (AoSA) architecture, the
proposed method compares the received signals across the arrays to determine
whether a near, intermediate, or far-field channel estimation approach will be
appropriate. Subsequently, compressed estimation is performed in which the
proximity of multiple subarrays (SAs) at the transmitter and receiver is
exploited to reduce computational complexity and increase estimation accuracy.
Numerical results show that the proposed method can enhance channel estimation
accuracy and complexity at all distances of interest.Comment: 30 pages, 7 pages, journa
Single- versus Multi-Carrier Terahertz-Band Communications: A Comparative Study
The prospects of utilizing single-carrier (SC) and multi-carrier (MC)
waveforms in future terahertz (THz)-band communication systems remain
unresolved. On the one hand, the limited multi-path components at high
frequencies result in frequency-flat channels that favor low-complexity
wideband SC systems. On the other hand, frequency-dependent molecular
absorption and transceiver characteristics and the existence of multi-path
components in indoor sub-THz systems can still result in frequency-selective
channels, favoring off-the-shelf MC schemes such as orthogonal
frequency-division multiplexing (OFDM). Variations of SC/MC designs result in
different THz spectrum utilization, but spectral efficiency is not the primary
concern with substantial available bandwidths; baseband complexity, power
efficiency, and hardware impairment constraints are predominant. This paper
presents a comprehensive study of SC/MC modulations for THz communications,
utilizing an accurate wideband THz channel model and highlighting the various
performance and complexity trade-offs of the candidate schemes. Simulations
demonstrate that discrete-Fourier-transform spread orthogonal time-frequency
space (DFT-s-OTFS) achieves a lower peak-to-average power ratio (PAPR) than
OFDM and OTFS and enhances immunity to THz impairments and Doppler spreads, but
at an increased complexity cost. Moreover, DFT-s-OFDM is a promising candidate
that increases robustness to THz impairments and phase noise (PHN) at a low
PAPR and overall complexity.Comment: 18 pages, 12 figures, journa
Bridging the complexity gap in Tbps-achieving THz-band baseband processing
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
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