Wi-Fi Teeter-Totter: Overclocking OFDM for Internet of Things
Wei Wang, Shiyue He, Lin Yang, Qian Zhang, Tao Jiang

TL;DR
This paper proposes an asymmetric Wi-Fi PHY design for IoT that reduces device power consumption by leveraging the AP's higher computational power to enhance decoding, enabling lower uplink transmission power.
Contribution
It introduces a novel asymmetric PHY design for IoT Wi-Fi, exploiting AP's resources to lower IoT device power usage by boosting decoding capabilities.
Findings
IoT devices can transmit at lower power levels with the proposed design.
AP's increased decoding power compensates for reduced device transmission power.
Implementation shows significant power savings for IoT devices.
Abstract
The conventional high-speed Wi-Fi has recently become a contender for low-power Internet-of-Things (IoT) communications. OFDM continues its adoption in the new IoT Wi-Fi standard due to its spectrum efficiency that can support the demand of massive IoT connectivity. While the IoT Wi-Fi standard offers many new features to improve power and spectrum efficiency, the basic physical layer (PHY) structure of transceiver design still conforms to its conventional design rationale where access points (AP) and clients employ the same OFDM PHY. In this paper, we argue that current Wi-Fi PHY design does not take full advantage of the inherent asymmetry between AP and IoT. To fill the gap, we propose an asymmetric design where IoT devices transmit uplink packets using the lowest power while pushing all the decoding burdens to the AP side. Such a design utilizes the sufficient power and…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Wireless Networks and Protocols · Cooperative Communication and Network Coding
