Loading [a11y]/accessibility-menu.js
FreeCollision: Parallel Decoding for Concurrent OFDM-PHY WiFi Backscatter Communications | IEEE Conference Publication | IEEE Xplore

FreeCollision: Parallel Decoding for Concurrent OFDM-PHY WiFi Backscatter Communications


Abstract:

Backscatter communication is visioned as one of the promising technologies for future ultra-low power Internet of Things (IoT). The orthogonal-frequency-division-multiple...Show More

Abstract:

Backscatter communication is visioned as one of the promising technologies for future ultra-low power Internet of Things (IoT). The orthogonal-frequency-division-multiplexing physical-layer (OFDM-PHY) WiFi backscatter communications attract great attention in recent years. However, the severe tag transmission collisions highly degrade the system performance in a backscatter network, since complicated multiple access mechanisms, e.g., carrier sense multiple access, cannot be applied on backscatter tags. To address this problem, a novel parallel decoding design called FreeCollision is developed to enable concurrent OFDM-PHY WiFi backscatter communications. Without the prior knowledge of the number of collided tags, their channel state information, and modulation types, FreeCollsion can just use the I-Q symbols to resolve the collision by the design of a series of mechanisms: collided constellation recovery, concurrent virtual channel estimation, QPSK tag detection, and parallel demodulation. Simulation results verify the effectiveness of our proposed scheme. The successful decoding rate is more than 95% for 4 collided tags with BPSK modulation. The maximum successful transmission probability can be improved from 36.7% to 88% for slotted Aloha.
Date of Conference: 16-20 May 2022
Date Added to IEEE Xplore: 11 August 2022
ISBN Information:

ISSN Information:

Conference Location: Seoul, Korea, Republic of

Funding Agency:


Contact IEEE to Subscribe

References

References is not available for this document.