A Study of Interference Analysis Between mmWave Radars and IEEE 802.11AD at 60 GHz Bands

Cheng, Shiyu; Pahlavan, Kaveh; Wei, Haowen; Su, Zhuoran; Zekavat, S.A.; Abedi, Ali

doi:10.1007/s10776-022-00564-9

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Considerations that form a complete chirp profile need to be included in the literature or have only been investigated to a limited extent concerning interference behavior. Although the total transmitting process is described in [27], [28], [90]- [92] with an inter-chirp duration and a down-chirp duration, only a few interference simulations can be found in the literature that takes such a chirp profile into account.…”

Section: B Methodsmentioning

confidence: 99%

Evaluation of the Interference Performance of FMCW Radar Sensors in Dense Indoor Environments

Reitz,

Künzle,

Franchi

et al. 2024

IEEE Access

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Frequency-modulated continuous-wave (FMCW) radars are becoming increasingly important in industrial applications due to their low cost, simple signal processing, and high resolution. The research is driven by the growing trend of radar applications in industrial settings, including tasks like autonomous robot navigation, radar-based monitoring of humans, and enhancing safety across various scenarios, such as smart factories, traffic control, or environmental monitoring. The network of distributed sensor nodes is a feature to be implemented by the sixth generation of wireless mobile networks. As a result, 6G will become an enabler technology that will develop even further use cases and advance the expansion of these technologies. Therefore, the mutual interference of these sensor systems is becoming highly relevant since they can be avoided by scheduling the individual resources of the sensor nodes by a network structure. This paper investigates the interference behavior of FMCW radar sensors in a dense indoor scenario. In these environments, in particular, the reliability of the sensor system plays an important role, and disruption can have critical consequences like not recognizing a target, triggering a false alarm, or the complete failure of the sensing. To correctly classify the expected interference in the overall context, the paper investigates the physical layer effects on the performance, such as multipath propagation, channel spread, delay, Doppler shift, and attenuation. By evaluating these effects using state-of-the-art signal processing, it was revealed that a high channel spread in particular and the dynamics of the radar channel can significantly reduce the detection quality, as the interference power can exceed the received power by up to 20 dB, depending on the scenario. The simulation results given in this paper show that a potential communication between the radars and compliance with a synchronization delay, the interference problems can be reliably prevented with an appropriately designed anti-aliasing filter. Our simulations have quantified the detection performance under interference through the entire signal chain by evaluating the physical layer, the radar signal processing with non-idealities, and the hardware. The paper has investigated interference probability in indoor environments by examining radars with uncoordinated transmissions. Integrating findings from the physical propagation characteristics, the deviations in chirp durations, and the frequency of interference cases offers insights into the potential risk of interference.

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Section: B Methodsmentioning

confidence: 99%

Evaluation of the Interference Performance of FMCW Radar Sensors in Dense Indoor Environments

Reitz,

Künzle,

Franchi

et al. 2024

IEEE Access

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show abstract

“…Also in [22] IEEE 802.11ad is used for opportunistic radar purposes: the method in [22] removes the interference from previous reflections so as to provide a multiple-target detection capability. In [23], a novel set of optimized sequences is proposed for joint multi-user communication and radar sensing, while in [24] a study is performed concerning the mutual interference between communication and radar.…”

Section: Literature Reviewmentioning

confidence: 99%

Improved Channel Estimation and Equalization for Single-Carrier IEEE 802.11ad Receivers

Baruffa¹,

Rugini²

2023

RADIOENGINEERING

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IEEE 802.11ad uses mmWave technology for multi-gigabit wireless access networks. Multipath with large delay spread severely reduces performance due to insufficient guard interval. In this paper, we improve single-carrier IEEE 802.11ad receivers by proposing channel estimation and equalization methods for a frequency domain equalizer. Channel estimation is improved by leveraging on sparsity of the channel impulse response, while equalization is combined with an interference cancellation algorithm. The loglikelihood ratio demapper is also improved by correct power estimation of signal, interference, and noise. Simulation results show that the proposed methods are effective on channels whose length exceeds the guard interval.

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Understanding of RF Cloud Interference Measurement and Modeling

Pahlavan

2021

Int J Wireless Inf Networks

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Importance of spectrum regulation and management was first revealed on May of 1985 after the release of unlicensed ISM bands resulting in emergence of Wi-Fi, Bluetooth and many other wireless technologies that has affected our daily lives by enabling the emergence of the smart world and IoT era. Today, the idea of a liberated spectrum is circulating around, which can potentially direct wireless networking industry into another revolution by enabling a new paradigm in intelligent spectrum regulation and management. The RF signal radiated from IoT devices as well as other wireless technologies create an RF cloud causing co- and cross-interference to each other. Lack of a science and technology for understanding, measurement, and modeling of the RF cloud interference in near real-time results in inefficient utilization of the precious spectrum, a unique natural resource shared among all wireless devices of the universe in frequency, time, and space. Near real time forecasting of the RF cloud interference is essential to pursue the path to the optimal utilization of spectrum and a liberated spectrum management. This paper presents a historical perspective on the evolution of spectrum regulation and management, explains the diversified meanings of interference for different sectors of the wireless industry, and presents a path for implementing a theoretical foundation for interference monitoring and forecasting to enable the emergence of a liberated spectrum industry and a new paradigm in spectrum management and regulations.

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A Study of Interference Analysis Between mmWave Radars and IEEE 802.11AD at 60 GHz Bands

Cited by 3 publications

References 9 publications

Evaluation of the Interference Performance of FMCW Radar Sensors in Dense Indoor Environments

Evaluation of the Interference Performance of FMCW Radar Sensors in Dense Indoor Environments

Improved Channel Estimation and Equalization for Single-Carrier IEEE 802.11ad Receivers

Understanding of RF Cloud Interference Measurement and Modeling

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