LoFi: Enabling 2.4GHz LoRa and WiFi Coexistence by Detecting Extremely Weak Signals

Chen, Gonglong; Dong, Wei; Lv, Jiamei

doi:10.1109/infocom42981.2021.9488891

Cited by 12 publications

(6 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nearly all the works focus on signal type identification, making them unsuitable for SledZig design. LoFi [16] identifies LoRa channels through physical layer technologies and is in a different context. Embee [3] can identify ZigBee channels through analyzing the central frequency offset of the signal, but it requires the ZigBee preamble to be obtained at first, which limits its application.…”

Section: Heterogeneous Signal Identificationmentioning

confidence: 99%

Enabling Cross-Technology Coexistence for ZigBee Devices Through Payload Encoding

Yao,

Huang,

et al. 2024

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

With the rapid growth of Internet of Things, the number of heterogeneous wireless devices working in the same frequency band increases dramatically, leading to severe crosstechnology interference. To enable coexistence, researchers have proposed a large number of mechanisms to manage interference. However, existing mechanisms have severe modifications in either the physical or MAC (medium access control) layers, making them very different from the standard. In this paper, we design and implement SledZig to boost cross-technology coexistence for low-power devices through both enabling more transmission opportunities and avoiding interference. SledZig is fully compatible with the standard in both physical and MAC layers. It decreases the WiFi signal power on the channel of low-power devices while keeps the WiFi transmission power unchanged, through making constellation points on the overlapped subcarriers have the lowest power, which can be achieved by just encoding the WiFi payload. We implement SledZig on hardware testbed and evaluate its performance under different settings. Experiment results show that SledZig can effectively increase ZigBee transmissions and improve its performance over a WiFi channel under various WiFi data traffic, with as low as 6.94% WiFi throughput loss.

show abstract

Section: Heterogeneous Signal Identificationmentioning

confidence: 99%

Enabling Cross-Technology Coexistence for ZigBee Devices Through Payload Encoding

Yao,

Huang,

et al. 2024

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

show abstract

“…Their results also reveal that LoRa robustness highly depends not only on the used LoRa system parameters, but also on the interferer properties and the assumed coexistence scenarios. To improve the coexistence of LoRa and Wi-Fi, Chen et al proposed LoFi, a method for detecting weak signals [4].…”

Section: Performance Of Lora 24 Ghzmentioning

confidence: 99%

“…There are only a few studies of the LoRa 2.4 GHz performance [2,3,4,5,6,7,8]. They show that the coverage is smaller than the standard LoRa and the performance highly depends on the environment.…”

Section: Introductionmentioning

confidence: 99%

Range and Capacity of LoRa 2.4 GHz

Reyhane

Heusse

Duda

2023

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

View full text Add to dashboard Cite

LoRa 2.4 GHz is a new variant of LoRa networks that uses the 2.4 GHz ISM band, different from the standard 868 MHz LoRa version. The LoRa physical layer takes advantage of a Chirp Spreading Spectrum (CSS) modulation with robust signals for transmission over long distances. While the standard LoRa in the 868 MHz band covers a range of 5-10 km, the actual capacity and range of LoRa 2.4 GHz are still not yet fully investigated. A shorter range is expected with the higher carrier frequency and an increased bandwidth. However, the wider bandwidth allows for the transmission of larger frames and a shorter airtime. In this study, we evaluate the coverage range and capacity of LoRa 2.4 GHz through precise simulations, taking into account a path loss model tailored for urban environments and frequencies over 2 GHz. We also take into account the effect of Rician or Rayleigh fading, as well as collisions in low and high load traffic conditions. The results show a maximum range of 1.1 km and capacity around 310 nodes for low traffic and the case in which each node in the network benefits from a minimum 60% Packet Delivery Ratio (PDR). This range drops to 700 m when the target PDR increases to 90%, accommodating 120 nodes. Under the assumption of Rayleigh fading and for the target PDR of 60 % and heavy load, the range attains 350 m with capacity of 30 nodes, and it drops to 120 m for the 90% target PDR.

show abstract

“…Another problem is the Wi-Fi interference at 2.4 GHz. For this problem, it is proposed a new weak signal detection approach, LoFi [53].…”

Section: Lora 24 Ghzmentioning

confidence: 99%

Mobile LoRa Gateway for Communication and Sensing on the Railway

Soares,

Luís,

Sargento

2023

2023 IEEE Symposium on Computers and Communications (ISCC)

View full text Add to dashboard Cite

Com o aumento da popularidade das iniciativas baseadas na tecnologia, a Internet of Things (IoT) criou soluções inovadoras para serem aplicadas na ferrovia. Como suporte para as aplicações IoT, as tecnologias Low-Power Wide Area Networks (LPWANs) têm surgido como as soluções mais promissoras: de todas as tecnologias disponíveis, a amplamente adotada é a Long-Range (LoRa), apesar das suas transmissões serem de baixo ritmo e restrições no ciclo de trabalho. A popularidade de LoRa em ambientes móveis é motivada pelo longo alcance devido ao seu esquema de modulação, mas também pela alta robustez, resistência ao multipercurso e resistência ao efeito Doppler. Ainda assim, além dessas características, LoRa é uma solução de baixo custo e baixo consumo energético. O principal objetivo desta dissertação é desenhar, implementar e testar uma estratégia de controlo de acesso ao meio que permita que uma gateway LoRa móvel de alta velocidade, de canal único, descubra e receba dados de nós terminais instalados na ferrovia. Em primeiro lugar, é proposta e analisada a interação entre a gateway e o nó terminal. Um pacote de controlo foi implementado onde o nó terminal pode receber a velocidade, direção e as coordenas global positioning system (GPS) da gateway. Com esta informação, o nó terminal é capaz de estimar a posição futura da gateway e escolher o modo apropriado para a transferência de dados. Além deste pacote de controlo, também foram implementados pacotes de confirmação para os dados e o modo, para alertar o nó terminal se os pacotes foram recebidos corretamente. Mecanismos de perda de pacotes e valores de tempo limite de escuta foram investigados para combater a possível perda de pacotes transmitidos. Por fim, testes foram realizados em cenários rodoviários para comparar a solução LoRa desenvolvida com a Long Range Wide Area Network (LoRaWAN). Os resultados mostraram que a nossa solução supera LoRaWAN tanto em taxas de perdas de pacotes como em ritmo de transmissão de dados, revelando as diferenças entre uma solução de não-consciencialização, como LoRaWAN, e uma solução em que o nó terminal só transmite ao receber uma mensagem de controlo alertando que uma gateway LoRa está próxima.

show abstract

LoFi: Enabling 2.4GHz LoRa and WiFi Coexistence by Detecting Extremely Weak Signals

Cited by 12 publications

References 23 publications

Enabling Cross-Technology Coexistence for ZigBee Devices Through Payload Encoding

Enabling Cross-Technology Coexistence for ZigBee Devices Through Payload Encoding

Range and Capacity of LoRa 2.4 GHz

Mobile LoRa Gateway for Communication and Sensing on the Railway

Contact Info

Product

Resources

About