Sparse/dense channel estimation with non‐zero tap detection for 60‐GHz beam training

Gao, Bo; Xiao, Zhenyu; Zhang, Changming; Jin, Depeng; Zeng, Lieguang

doi:10.1049/iet-com.2013.0942

Cited by 9 publications

(2 citation statements)

References 22 publications

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“…Sparse Recovery: Past theoretical work proposes using compressive sensing to reduce the number of measurements needed to discover the right alignment of the beam [24,14,13]. This approach, however, does not work with practical hardware because it ignores CFO (Carrier Frequency Offset), which corrupts the phase of the measurements.…”

Section: Simulation-based Beam Searching Methodsmentioning

confidence: 99%

Millimeter Wave Communications

Abari

Hassanieh

Rodriguez

et al. 2016

Proceedings of the 15th ACM Workshop on Hot Topics in Networks

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Millimeter wave (mmWave) technologies promise to revolutionize wireless networks by enabling multi-gigabit data rates. However, they suffer from high attenuation, and hence have to use highly directional antennas to focus their power on the receiver. Existing radios have to scan the space to find the best alignment between the transmitter's and receiver's beams, a process that takes up to a few seconds. This delay is problematic in a network setting, where the base station needs to quickly switch between users and accommodate mobile clients.We present Agile-Link, the first mmWave beam steering system that is demonstrated to find the correct beam alignment without scanning the space. Instead of scanning, AgileLink hashes the beam directions using a few carefully chosen hash functions. It then identifies the correct alignment by tracking how the energy changes across different hash functions. Our results show that Agile-Link reduces beam steering delay by orders of magnitude.

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Section: Simulation-based Beam Searching Methodsmentioning

confidence: 99%

Millimeter Wave Communications

Abari

Hassanieh

Rodriguez

et al. 2016

Proceedings of the 15th ACM Workshop on Hot Topics in Networks

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“…Furthermore, since Rapid-Link applies to the more restricted architecture which has a linear number of phase shifters and only one transmit-receive chain, its guarantees naturally extend to this more complex architecture. Some past theoretical work applies the standard compressive sensing and assumes it can correctly obtain the phase of the measurements [20,42]. This approach does not work with practical 802.11ad or cellular radios because it ignores CFO (Carrier Frequency Offset) which corrupts the phase of the measurements [41].…”

Section: Related Workmentioning

confidence: 99%

Agile Millimeter Wave Networks with Provable Guarantees

Hassanieh,

Abari,

Rodreguez

et al. 2017

Preprint

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There is much interest in integrating millimeter wave radios (mmWave) into wireless LANs and 5G cellular networks to benefit from their multiple GHz of available spectrum. Yet unlike existing technologies, e.g., WiFi, mmWave radios require highly directional antennas. Since the antennas have pencil-beams, the transmitter and receiver need to align their antenna beams before they can communicate. Existing solutions scan the entire space to find the best alignment. Such a process has been shown to introduce up to seconds of delay, and is unsuitable for wireless networks where an access point has to quickly switch between users and accommodate mobile clients.This paper presents Rapid-Link, a new protocol that can find the best mmWave beam alignment without scanning the space. Given all possible directions for setting the antenna beam, Rapid-Link provably finds the optimal direction in logarithmic number of measurements. Further, Rapid-Link works within the existing 802.11ad standard for mmWave LAN, and can support both clients and access points. We have implemented Rapid-Link in a mmWave radio and evaluated it empirically. Our results show that it reduces beam alignment delay by orders of magnitude. In particular, for highly directional mmWave devices operating under 802.11ad, the delay drops from over a second to 2.5 ms.

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