WiFi-Driven Non-Reciprocal RIS: Overcoming Power Mismatch Challenges and Reliable Communication in IoT

One of the main challenges faced by internet of things (IoT) devices is operating in low-power environments, necessitating efficient energy management strategies to prolong battery life. In wireless networks like WiFi, managing energy consumption becomes more complex, especially when there is a mismatch in power levels between access points (APs) and IoT devices, leading to the near-far problem. To address this, we propose the use of non-reciprocal transmissive reconfigurable intelligent surfaces (RIS) to dynamically adjust signal properties, improving connectivity without increasing transmit power. Our contributions include introducing non-reciprocal transmissive RIS as a solution to the near-far problem, analyzing IoT device energy consumption in RIS-aided WiFi, and presenting experimental results of packet data retries for non-reciprocal transmissive RIS. The results demonstrate the significant impact of RIS on enhancing energy savings for IoT devices. Furthermore, the experimental findings confirm that non-reciprocal transmissive RIS can enhance the reliability of uplink communications by reducing the number of packet data retries.

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Publication Details

Published
2024-11-10
DOI
https://doi.org/10.1109/wf-iot62078.2024.10811401
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
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article

WiFi-Driven Non-Reciprocal RIS: Overcoming Power Mismatch Challenges and Reliable Communication in IoT

Mohamed Ibrahim, Zahra Taheri, Octavio Barrera, Artmiz Golkaramnay
Energy Harvesting in Wireless Networks
article

WiFi-Driven Non-Reciprocal RIS: Overcoming Power Mismatch Challenges and Reliable Communication in IoT

Mohamed Ibrahim, Zahra Taheri, Octavio Barrera, Artmiz Golkaramnay
article en

Abstract

One of the main challenges faced by internet of things (IoT) devices is operating in low-power environments, necessitating efficient energy management strategies to prolong battery life. In wireless networks like WiFi, managing energy consumption becomes more complex, especially when there is a mismatch in power levels between access points (APs) and IoT devices, leading to the near-far problem. To address this, we propose the use of non-reciprocal transmissive reconfigurable intelligent surfaces (RIS) to dynamically adjust signal properties, improving connectivity without increasing transmit power. Our contributions include introducing non-reciprocal transmissive RIS as a solution to the near-far problem, analyzing IoT device energy consumption in RIS-aided WiFi, and presenting experimental results of packet data retries for non-reciprocal transmissive RIS. The results demonstrate the significant impact of RIS on enhancing energy savings for IoT devices. Furthermore, the experimental findings confirm that non-reciprocal transmissive RIS can enhance the reliability of uplink communications by reducing the number of packet data retries.

Openalex Percentile: Top 77%
Energy Harvesting in Wireless Networks
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