Integrated terahertz communication with reflectors for 5G small-cell networks

Barros, Michael Taynnan and Mullins, Robert and Balasubramaniam, Sasitharan (2017) Integrated terahertz communication with reflectors for 5G small-cell networks. IEEE Transactions on Vehicular Technology, 66 (7). pp. 5647-5657. ISSN 0018-9545

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Abstract

As the cellular networks continue to progress between generations, the expectations of 5G systems are planned toward high-capacity communication links that can provide users access to numerous types of applications (e.g., augmented reality and holographic multimedia streaming). The demand for higher bandwidth has led the research community to investigate unexplored frequency spectrums, such as the terahertz band for 5G. However, this particular spectrum is strived with numerous challenges, which includes the need for line-of-sight (LoS) links as reflections will deflect the waves as well as molecular absorption that can affect the signal strength. This is further amplified when a high quality of service has to be maintained over infrastructure that supports mobility, as users (or groups of users) migrate between locations, requiring frequent handover for roaming. In this paper, the concept of mirror-assisted wireless coverage is introduced, where smart antennas are utilized with dielectric mirrors that act as reflectors for the terahertz waves. The objective is to utilize information such as the user's location and to direct the reflective beam toward the highest concentration of users. A multiray model is presented in order to develop the propagation models for both indoor and outdoor scenarios in order to validate the proposed use of the reflectors. An office and a pedestrian-walking scenarios are used for indoor and outdoor scenarios, respectively. The results from the simulation work show an improvement with the usage of mirror-assisted wireless coverage, improving the overall capacity, the received power, the path loss, and the probability of LoS.

Item Type:	Article
Additional Information:	Funding Information: Manuscript received April 10, 2016; revised September 30, 2016; accepted November 14, 2016. Date of publication December 13, 2016; date of current version July 14, 2017. This work was facilitated by the CogNet project (671625), which is funded under the European Commission’s Horizon 2020 program. The review of this paper was coordinated by Dr. S. Mumtaz. Publisher Copyright: © 1967-2012 IEEE.
Uncontrolled Keywords:	/dk/atira/pure/subjectarea/asjc/2200/2203
Departments or Groups:
Depositing User:	Admin SSL
Date Deposited:	19 Oct 2022 23:08
Last Modified:	21 Jul 2023 22:40
URI:	http://repository-testing.wit.ie/id/eprint/4324

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