TY - GEN
T1 - A General I- Function Performance Analysis Framework for THz-based 6G Communications
AU - Ihnib, Oussama
AU - Benjillali, Mustapha
AU - Rabie, Khaled
AU - Badarneh, Osamah S.
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - In this paper, we propose a comprehensive performance analysis framework for the general case of multi-path fading channels modeled with a distribution of the form of a generalized I- function that encompasses all other known distributions as special cases. After obtaining the statistics of the received signal's envelope and the signal-to-noise ratio (SNR), we derive closed-form expressions for different performance metrics such as the outage probability, the average bit error probability, and the ergodic capacity. Then, from a practical engineering perspective, we apply our derivations to the case of THz links which are currently under consideration for adoption in the upcoming 6G networks. Revisiting the modeling of these links to align it with the I- function based representation, and taking into consideration other operational and environmental issues such as misalignment and fog, we obtain the expressions of the performance metrics of interest, and we assess the correctness of our derivations by comparison with Monte-Carlo simulation results in two different special cases; namely the classical Nakagami-m fading and the well-adopted α-μ model of the THz channels. The obtained numerical results show perfect match between our analytical framework derivation and the simulations, and provide insights on the impact of many system and environmental parameters, which will be of use to the engineering of THz-based 6G communication systems.
AB - In this paper, we propose a comprehensive performance analysis framework for the general case of multi-path fading channels modeled with a distribution of the form of a generalized I- function that encompasses all other known distributions as special cases. After obtaining the statistics of the received signal's envelope and the signal-to-noise ratio (SNR), we derive closed-form expressions for different performance metrics such as the outage probability, the average bit error probability, and the ergodic capacity. Then, from a practical engineering perspective, we apply our derivations to the case of THz links which are currently under consideration for adoption in the upcoming 6G networks. Revisiting the modeling of these links to align it with the I- function based representation, and taking into consideration other operational and environmental issues such as misalignment and fog, we obtain the expressions of the performance metrics of interest, and we assess the correctness of our derivations by comparison with Monte-Carlo simulation results in two different special cases; namely the classical Nakagami-m fading and the well-adopted α-μ model of the THz channels. The obtained numerical results show perfect match between our analytical framework derivation and the simulations, and provide insights on the impact of many system and environmental parameters, which will be of use to the engineering of THz-based 6G communication systems.
KW - 6G
KW - Fog
KW - Function
KW - Generalized Functions
KW - I-
KW - Misalignment
KW - Performance Analysis
KW - THz Links
KW - α-μ Fading
UR - https://www.scopus.com/pages/publications/105032062955
U2 - 10.1109/CommNet68224.2025.11288919
DO - 10.1109/CommNet68224.2025.11288919
M3 - Conference contribution
AN - SCOPUS:105032062955
T3 - 8th International Conference on Advanced Communication Technologies and Networking, CommNet 2025 - Proceedings
BT - 8th International Conference on Advanced Communication Technologies and Networking, CommNet 2025 - Proceedings
A2 - El Bouanani, Faissal
A2 - Ayoub, Fouad
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Advanced Communication Technologies and Networking, CommNet 2025
Y2 - 3 December 2025 through 5 December 2025
ER -