Long-range ambient LoRa backscatter with parallel decoding

Jiang, Jingjing; Xu, Zhenqiang; Dang, Fan; Wang, Jiliang

doi:10.1145/3447993.3483261

Cited by 59 publications

(12 citation statements)

References 15 publications

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“…• New Backscatter Paradigms: Recently, novel backscatter communication systems have been proposed that operate with different wireless systems, such as WiFibackscatter [17], [18], [19], [20]; Bluetooth backscatter [21], [22]; FM radio-backscatter [23]; and LoRa backscatter [24], [25]. These systems can extend the communication coverage and improve throughput, but require tag modification and increase tag cost.…”

Section: Related Workmentioning

confidence: 99%

A Signal-to-Data Translation Model for Robust Backscatter Communications

2022

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Backscatter communication is a promising technology in the hyper-connected era. Because of its ultra-low energy consumption, it can be used in various applications, but there are performance issues due to high uncertainty. We propose a signal-to-data translation model that can transform an entire backscatter signal into the original data. To train the translation model, we developed an automation framework that can efficiently collect datasets. We also proposed a data augmentation technique suitable for backscatter signals.In extensive experiments, our model significantly outperformed a simple rule-based decoding method and a commercial RFID reader. The proposed model showed consistent performance gains across different locations, obstacles, and mobility scenarios indicating a good generalization of learning.

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Section: Related Workmentioning

confidence: 99%

A Signal-to-Data Translation Model for Robust Backscatter Communications

2022

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“…Backscatter Devices: As a backscatter network, Chipnet is related to tremendous backscatter innovations whose fundamental purpose is to reduce the power consumption and hardware cost of wireless communication. Recently proposed backscatter devices corporate with diverse wireless protocols, including Wi-Fi [1ś3, 22,26,27,49], LoRa [24,33,35,41,44,45], Bluetooth [16,22], ZigBee [30,36], and other wireless signals [4,31,34,46]. Although they efectively reduce the power consumption and hardware cost of the wireless communication, they still have to employ high-power and costly processors for device control and signal processing.…”

Section: Related Workmentioning

confidence: 99%

“…LoRa-based Backscatter Communication: By combining long-range LoRa LPWAN technique with lowpower backscatter communication, recent works [24,33,35,41,44,45] realize long-range connections of more than 1 between the gateway and IoT devices. Moreover, this type of backscatter communication consumes s of power and low hardware cost of less than a dime [41], orders of magnitude lower than the power and cost of conventional wireless devices [8,43].…”

Section: Related Workmentioning

confidence: 99%

“…This frequency ofset can interfere with chirps backscattered by other devices. Conventional backscatter devices (e.g., PLoRa [24]) use processors for synchronization, for example, a processor can detect preambles in a downlink packet and start backscatter communication at a pre-agreed time. But we cannot achieve this on processor-free Chipnet devices.…”

Section: Practical Issuesmentioning

confidence: 99%

“…Long-range and Low-power RF receiver: Similar to the backscatter systems which employ chirp signals as carrier [24,33,35,41,44,45], employing classic envelope detectors of short RF receiving ranges will cause asymmetric communication ranges on the downlink and uplink, as we introduced in Sec. 2.…”

Section: Downlink Mechanism On Devicesmentioning

confidence: 99%

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Chipnet: Enabling Large-scale Backscatter Network with Processor-free Devices

Song

et al. 2022

ACM Trans. Sen. Netw.

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Differing from tremendous existing works that mainly focus on optimizing backscatter communication, Radio-to-Bus (R2B) communication utilizes backscatter to offload processors from IoT devices to the gateway, achieving processor-free devices of significantly reduced power and hardware cost. However, R2B communication is not suitable for large-scale backscatter networks, since R2B cannot support parallel and long-range communication between the gateway and hundreds of R2B devices. In this paper, we present Chipnet, a network that supports hundreds of long-range and concurrent connections between the gateway and multiple processor-free devices. The high level design of Chipnet includes a parallel frequency-division uplink mechanism which can work on processor-free devices, and a processor-free MAC layer protocol which supports gateway to broadcast downlink data and individually manage each processor-free device. This design addresses practical issues facing the processor-free device architecture, such as synchronizing hundreds of processor-free devices, assigning unique channel frequencies to every device, and realizing power-efficient processor-free signal conversion. The results demonstrate that a Chipnet network can achieve a task throughput of 2400 tasks/ s with a latency of 72.23 ms . Compared with the R2B network, Chipnet achieves 3 × −5 × improvements in network coverage range, and two orders of magnitude improvement in both network throughput and network latency.

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A survey on ambient backscatter communications: Principles, systems, applications, and challenges

Wang²,

Hawbani³

et al. 2022

Computer Networks

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Long-range ambient LoRa backscatter with parallel decoding

Cited by 59 publications

References 15 publications

A Signal-to-Data Translation Model for Robust Backscatter Communications

A Signal-to-Data Translation Model for Robust Backscatter Communications

Chipnet: Enabling Large-scale Backscatter Network with Processor-free Devices

A survey on ambient backscatter communications: Principles, systems, applications, and challenges

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