Geometric Beam Steering via Passive Light Sensing for mmWave WLANs

dc.contributor.advisorKnightly, Edward W.en_US
dc.creatorHaider, Muhammad Kumailen_US
dc.date.accessioned2019-05-17T16:52:34Zen_US
dc.date.available2019-05-17T16:52:34Zen_US
dc.date.created2018-12en_US
dc.date.issued2018-11-30en_US
dc.date.submittedDecember 2018en_US
dc.date.updated2019-05-17T16:52:35Zen_US
dc.description.abstractGHz-scale bandwidth in the mmWave spectrum (30 GHz to 300 GHz and beyond) realizes data rates of up to 100 Gb/sec with highly directional links, which can satiate the ever increasing demand for high speed wireless connectivity. However, a key challenge is that end nodes need to continually align their beams to maintain directional links, which incurs significant beam search overhead. This overhead can limit the performance of mmWave networks under nodal or environmental mobility. In this thesis, I present the design, implementation and evaluation of two novel mmWave beam adaptation solutions for achieving out of band steering using passive light sensing with off-the-shelf sensors to completely eliminate the need for in-band training. The key idea is to exploit similar propagation characteristics of higher frequency bands (i.e., light and mmWave bands) to track the dominant component of the mmWave wireless channel solely by using measurements in light band. To this end, I first introduce LiSteer, a system that steers mmWave beams at mobile devices by repurposing indicator LEDs on wireless Access Points (APs) to passively acquire direction estimates. I demonstrate that LiSteer maintains beam alignment at the narrowest beamwidth level even in case of device mobility, without incurring any training overhead at mobile devices. I then present SearchLight, where the key idea is to simultaneously track a mobile device's position and orientation using intensity measurements from lighting infrastructure, and to adapt mmWave beams at both mobile devices and the AP, completely eliminating beam training overhead for mmWave links. My extensive evaluation on a custom dual-band hardware platform comprising highly directional horn antennas as well as practical phased antenna arrays with electronic beam steering shows that both LiSteer and SearchLight achieve direction estimates within 2.5 degrees of ground truth on average. Moreover, both systems track client mobility and achieve up to 3x throughput gains compared to an in-band training strategy, and eliminate milli-second-scale in-band training epochs.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationHaider, Muhammad Kumail. "Geometric Beam Steering via Passive Light Sensing for mmWave WLANs." (2018) Diss., Rice University. <a href="https://hdl.handle.net/1911/105908">https://hdl.handle.net/1911/105908</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/105908en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectmmWaveen_US
dc.subjectBeam Steeringen_US
dc.subjectLight Sensingen_US
dc.subjectMobilityen_US
dc.subject60 GHzen_US
dc.subjectPhased Arrayen_US
dc.subjectGeometric Steeringen_US
dc.subjectAngle of Arrivalen_US
dc.titleGeometric Beam Steering via Passive Light Sensing for mmWave WLANsen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentElectrical and Computer Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophyen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
HAIDER-DOCUMENT-2018.pdf
Size:
4.11 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
PROQUEST_LICENSE.txt
Size:
5.85 KB
Format:
Plain Text
Description:
No Thumbnail Available
Name:
LICENSE.txt
Size:
2.62 KB
Format:
Plain Text
Description: