Evidence map›Paper›PMID 42198050›Full record

ArticleSensors (Basel, Switzerland)2026

Sustainable Development Strategies for RIS-Assisted Mobile Networks.

Anwar Hassan Ibrahim

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Anwar Hassan IbrahimDepartment of Electrical Engineering, College of Engineering, Qassim University, Buraydah 51452, Saudi Arabia.ORCID 0000-0003-1771-6868

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transition toward environmentally sustainable 6G networks requires mitigating the high-power consumption of traditional active base stations and relay nodes currently used to overcome signal path loss. This paper introduces Reconfigurable Intelligent Surfaces (RIS) as a paradigm-shifting, inherently passive alternative that alters the wireless propagation environment without requiring power-intensive radio frequency (RF) chains. Rather than focusing solely on spectral efficiency, this research aims to maximize Energy Efficiency (EE) to achieve a critical equilibrium between network performance and power consumption. MATLAB-based analytical models demonstrate that received signal power scales quadratically with the number of reflecting elements via constructive interference. Furthermore, systematic evaluations reveal that a 64-element RIS panel imposes a negligible hardware load consuming merely 0.005 Watts per element, offering a highly sustainable alternative to the massive transmit power (up to 40 dBm) frequently required by unassisted networks in noisy environments. By defining a mathematical "Green Operating Point," this study demonstrates that integrating lightweight RIS panels significantly enhances Signal-to-Noise Ratio (SNR) and data rates, steering next-generation telecommunications toward highly sustainable, low-power operations.

Indexed as

Internet of Things (IoT)mobile networksnetwork performanceReconfigurable Intelligent Surface (RIS)simulation programsixth generation (6G)sustainability

Identifiers

PMID42198050
PMCPMC13210499

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.