Paper Info
Title
Indoor mm-Wave Coverage Enhancement: Reconfigurable Intelligent Surface Deployment Strategy Based on Human Mobility Model
Abstract
Reconfigurable intelligent surface (RIS) is regarded as a promising technology to assist indoor millimeter wave (mm-Wave) communication due to its ability to manipulate electromagnetic waves directionally. Due to the complexity of indoor environment, different RIS deployment strategies significantly affect the system performance. However, the existing work investigating RIS indoor deployment ignored the influence of human mobility to indoor signal coverage, therefore a practical indoor deployment strategy remains unknown. In this letter, based on the consideration of human blockage to mm-Wave signal and probability distribution of human location, we propose an indoor RIS deployment strategy with human mobility model to minimize the outage probability, which is more applicable to the realistic indoor environment. An algorithm is presented to minimize the outage probability at a subspace scale of the room geometry and calculate the corresponding RIS location for single RIS deployment and multiple RISs cooperative deployment. Numerical results are provided to display how our deployment strategy works, which indicate that deploying RIS correctly can decrease the indoor communication outage probability significantly.
Year
DOI
Venue
2022
10.1109/LCOMM.2022.3193896
IEEE Communications Letters
Keywords
DocType
Volume
Reconfigurable intelligent surface,RIS deployment,human mobility model
Journal
26
Issue
ISSN
Citations 
10
1089-7798
0
PageRank 
References 
Authors
0.34
12
3
Name
Order
Citations
PageRank
Hao Qin100.34
Zhiyu Liu21610.55
Chuanchuan Yang304.06