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Interference Reduction RIS Assisted Indoor Dense Networks

delete2026-06-01
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PRE
AI
X
Xi, Wenji
H
Haonan Hu *
J
Jiliang Zhang
张
张杰 (Jie Zhang)
DOI:10.1109/tvt.2026.3650839delete
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Abstract

Abstract

En 中文
This paper presents the earliest investigation on the deployment of interference reduction (IR) reconfigurable intelligent surfaces (RIS) for indoor ultra-dense networks (UDN) suffering from strong interference. Firstly, we derive and validate the analytical coverage probability of user equipment (UE) with a given location in the IR-RIS assisted indoor UDN, where the location of interfering base station follows the binomial point process (BPP). Secondly, we derive the spectral efficiency (SE) of this indoor UDN and numerically analyze the effect of IR-RIS position on it to obtain the optimal IR-RIS position. Finally, we compare the indoor UDN SE obtained with IR-RIS and signal-enhancing RIS. The results show that IR-RIS outperforms signal-enhancing RIS in terms of SE enhancement under strong reflective-path interference scenarios, which highlights its superiority in interference management and potential for deployments in next-generation UDNs.
Keywords:
Interference
Reconfigurable intelligent surfaces
Rayleigh channels
Attenuation
Wireless fidelity
Spectral efficiency
Base stations
Wireless networks
Ultra-dense networks
Signal to noise ratio
Interference management
reconfigurable intelligent surfaces
indoor UDN
SE enhancement

Journal

IEEE Transactions on Vehicular Technology cover
IEEE Transactions on Vehicular Technology
IF:
7.1
Papers:
1.8W
Citations:
6.6W

Organization

U
University of Sheffield
Scholars:
525
Papers: 232
Citations: 0
N
northeastern university - china
Scholars:
3.2W
Papers: 2.7W
Citations: 37
Cited Papers

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