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Terahertz indoor channel optimization and wedge fading characteristics analysis based on multisignal sources
Author(s) -
Jing Qingfeng,
Liang Yewen
Publication year - 2020
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.4653
Subject(s) - computer science , fading , multipath propagation , attenuation , channel (broadcasting) , wireless , telecommunications , electronic engineering , optics , physics , engineering
Summary Indoor wireless communication systems are rapidly expanding, creating a growing demand for individual data rates. This paper explores the influence of the indoor source layout on the received signal for future ultrawideband indoor terahertz communication systems. The optimization of the number, distance, and arrangement of sources can improve the indoor signal coverage efficiency and reduce the fluctuation of the signal‐to‐noise ratio (SNR) of each position indoors. The optimization results for the number, distance, and arrangement of sources demonstrate that optimal coverage can be achieved using nine sources with a distance factor of 0.15 in a rectangular arrangement located in the center of the room in an office environment of 15 × 12 × 2.5 m (L × W × H) in size. Increasing the number of sources has little effect on the uniformity of the indoor signal power distribution. Under the optimal coverage, the SNR fluctuation in an empty room can be reduced from 10.77 to 2.5 dB, which guarantees that users can obtain nearly the same communication quality regardless of their location. Moreover, the impact characteristics of two typical wedges fading, namely, fixed shadow objects and moving human bodies, under one or multiple sources are also analyzed. Multisource distribution is found to significantly improve the shadow attenuation effect of wedge fading when there are fixed objects or people walking indoors. In addition, the moving human body attenuation model is extended by combining a Markov process with a ray‐tracing simulation. The results show that the probability of the ideal state under a multisource distribution is significantly higher than that under a single‐source distribution, and it is less influenced by the number of people.