Enahoro, Sunday, Ekpo, Sunday ORCID: https://orcid.org/0000-0001-9219-3759, Al-Yasir, Yasir, Uko, Mfonobong, Elias, Fanuel, Unnikrishnan, Rahul and Alabi, Stephen
(2025)
Unified Framework for RIS-Enhanced Wireless Communication and Ambient RF Energy Harvesting: Performance and Sustainability Analysis.
Technologies, 13 (6).
244.
ISSN 2227-7080
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Published Version
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Abstract
The increasing demand for high-capacity, energy-efficient wireless networks poses significant challenges in maintaining spectral efficiency, minimizing interference, and ensuring sustainability. Traditional Direct-Link communication suffers from signal degradation due to path loss, multipath fading, and interference, limiting overall performance. To mitigate these challenges, this paper proposes a unified RIS framework that integrates passive and active Reconfigurable Intelligent Surfaces (RIS) for enhanced communication and ambient RF energy harvesting. Our methodology optimizes RIS-assisted beamforming using successive convex approximation (SCA) and adaptive phase shift tuning, maximizing desired signal reception while reducing interference. Passive-RIS efficiently reflects signals without external power, whereas Active-RIS employs amplification-assisted reflection for superior performance. Evaluations using realistic urban macro-cell and mmWave channel models reveal that, compared to Direct-Links, Passive-RIS boosts SNR from 3.0 dB to 7.1 dB and throughput from 2.6 Gbps to 4.6 Gbps, while Active-RIS further enhances SNR to 10.0 dB and throughput to 6.8 Gbps. Energy efficiency increases from 0.44 to 0.67 (passive) and 0.82 (active), with latency reduced from 80 ms to 35 ms. These performance metrics validate the proposed approach and highlight its potential applications in urban 5G networks, IoT systems, high-mobility scenarios, and other next-generation wireless environments.
Impact and Reach
Statistics
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