Projects per year
Abstract
The design and development of Terahertz (THz) and sub-Terahertz (sub-THz) communication systems entail the need for new channel models that can precisely predict channel attributes at such frequencies (≥100 GHz) in outdoor and dynamic environments. This work proposes a novel hybrid-stochastic ultra-wideband channel model for sub-THz bands, developed within the framework of a class of spatio-temporal stochastic processes called the ambit-process. The proposed model is capable of supporting bandwidths of upto 1 GHz. The spatio-temporal evolution of the ambit framework allows for a spatially consistent, reasonably accurate and tractable characterization of the fading statistics and multipath propagation of the cellular channels. We leverage a recently proposed convolution-based low-complexity algorithm with necessary modifications to study key features of the microcellular sub-THz channel like associated diffused reflection and scattering, molecular absorption, spatio-temporal correlations, and consistency between the time-evolving delay and Doppler of the multipaths. Simulation results on path loss, shadowing, delay spread, and channel correlations indicate that the ambit model accurately captures the typicalities of an urban microcellular sub-THz channel and agrees well with the measurement results reported in the literature.
Original language | English |
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Pages (from-to) | 3959-3974 |
Number of pages | 16 |
Journal | IEEE Transactions on Wireless Communications |
Volume | 23 |
Issue number | 5 |
DOIs | |
Publication status | Published - May 2024 |
Keywords
- 140 GHz
- ambit-process
- diffused reflection and scattering
- molecular absorption
- SISO
- spatial consistency
- stochastic-hybrid ray-tracing
- sub-THz channel model
- urban-microcells
- vegetative loss
Projects
- 1 Finished
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New modulation techniques for future high-mobility wireless communications
Hong, Y. (Primary Chief Investigator (PCI)), Viterbo, E. (Chief Investigator (CI)) & Biglieri, E. (Partner Investigator (PI))
31/07/20 → 31/12/24
Project: Research