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Large-scale RIS field trial campaign: Scenario-adaptive coverage enhancement in a mountainous megacity
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DOI：10.23919/jcc.fa.2025-0293.202604.png)
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Abstract
En 中文
In this paper, a large-scale field trial campaign is conducted for the passive reconfigurable intelligent surfaces (RIS) in Chongqing, China, a mountainous megacity characterized by complex terrain, to validate scenario-adaptive coverage enhancement in the existing 5G commercial networks. Operating RIS at 2.6 GHz (512 elements) and 4.9 GHz (1,024 elements), the study systematically evaluates eight real-world scenarios, including mountain tunnels, river crossing bridges, riverside roads, iconic landmarks, business districts, residential areas, rural settlements, and scenic areas. These trials incorporate real-world uncertainties, extending the analysis from downlink coverage to comprehensively evaluating uplink / downlink channel quality, throughput, and regional interference metrics. The key results demonstrate significant performance gains, such as a maximum increase in received signal strength by 6.14 dB in residential areas and a maximum gain in channel quality 351% on riverside roads, along with a maximum throughput improvement of up to 89% in uplink transmissions. The study further proposes a scenario applicability evaluation framework that includes five dimensions, considering deployment constraints and performance gains, to guide the deployment of RIS in future networks.
Keywords:
6G
field trial
reconfigurable intelligent surface
scenario applicability
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