Abstract
The proliferation of integrated sensing techniques in Sixth Generation (6G) networks is an increasingly significant aspect in facilitating efficient end-to-end communication for all users. The suggested methodology employs a digital signal processed with terahertz bandwidth to assess the impact of 6G networks. The primary focus lies in the design of 6G networks, emphasizing key parameters such interference, loss, signal strength, signal-to-noise ratio, and dual band channels. The aforementioned factors are combined with two machine learning algorithms in order to determine the extent of spectrum sharing among all available resources. Thus suggested approach for detecting signals in the terahertz communication spectrum is evaluated using 10 devices across four situations, which involve interference, signal loss, strength, and time margins for integrated sensing. Also the assumptions are based on signal processing devices operating within millimeter waves ranging from 5 to 10 terahertz. Interference and losses in the specified spectrum are seen to be less than 1%, but the time margin for integrated sensing with 99% maximized signal intensity remains at 85%.
Official URL
More Information
Divisions: | School of Built Environment, Engineering and Computing |
---|---|
Identification Number: | https://doi.org/10.1007/s11277-024-11250-9 |
Status: | Published |
Refereed: | Yes |
Publisher: | Springer Science and Business Media LLC |
Additional Information: | © The Author(s) 2024 |
Uncontrolled Keywords: | 0805 Distributed Computing; 0906 Electrical and Electronic Engineering; 1005 Communications Technologies; Networking & Telecommunications; 4006 Communications engineering; 4606 Distributed computing and systems software |
SWORD Depositor: | Symplectic |
Depositing User (symplectic) | Deposited by Mann, Elizabeth |
Date Deposited: | 05 Jul 2024 08:53 |
Last Modified: | 11 Jul 2024 08:05 |
Item Type: | Article |
Export Citation
Explore Further
Read more research from the author(s):