Adaptive Codebook Optimization for Beam Training on Off-the-Shelf IEEE 802.11ad Devices

Palacios, Joan; Steinmetzer, Daniel; Loch, Adrian; Hollick, Matthias; Widmer, Joerg

doi:10.1145/3241539.3241576

Cited by 48 publications

(39 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Note that for mmWave phased array radios, the channel state information including phase and magnitude can be directly derived from the per-beam RSS [44]. Meanwhile, the simulation and measurement match well in terms of per-beam RSS and best beam indexes (i.e., AoA), which are the key factors in making important protocol-level decisions, such as beam switching, spatial reuse, blockage, etc.…”

Section: Validation Of the 3d V2x Channel Simulationmentioning

confidence: 88%

“…We then write a Python program to dump the RSS measurements repeatedly and transmit them to the host PC. A similar RSS extraction approach has been mentioned in recent mmWave measurement systems [43,44].…”

Section: Customizing the Mmwave Radiomentioning

confidence: 99%

“…Unlike previous mmWave measurement devices [43,44] which run in monitor mode for channel sensing alone, our testbed requires seamless switch between per-beam RSS extraction and normal data transfer, which is only possible in the managed mode with a fully functional network stack. We found that, in managed mode, the per beam RSS is updated only when the UE proactively scans for a basestation.…”

Section: Customizing the Mmwave Radiomentioning

confidence: 99%

“…We found that, in managed mode, the per beam RSS is updated only when the UE proactively scans for a basestation. We thus identify the corresponding NIC command [43,44], our testbed comprises of multiple basestations, and the UE radio must associate the RSS samples to the corresponding basestation. Using the same technique as in RSS extraction, we identify the memory address for the entire BF frame, whose header contains the sender's MAC address field.…”

Section: Customizing the Mmwave Radiomentioning

confidence: 99%

See 3 more Smart Citations

Demystifying millimeter-wave V2X

Wang

Huang

Zhang

2020

Proceedings of the 26th Annual International Conference on Mobile Computing and Networking

View full text Add to dashboard Cite

Millimeter-wave (mmWave) networking represents a core technology to meet the demanding bandwidth requirements of emerging connected vehicles. However, the feasibility of mmWave vehicleto-everything (V2X) connectivity has long been questioned. One major doubt lies in how the highly directional mmWave links can sustain under high mobility. In this paper, we present the first comprehensive reality check of mmWave V2X networks. We deploy an experimental testbed to mimic a typical mmWave V2X scenario, and customize a COTS mmWave radio to enable microscopic investigation of the channel and the link. We further construct a high-fidelity 3D ray-tracer to reproduce the mmWave characteristics at scale. With this toolset, we study the mmWave V2X coverage, mobility and blockage, codebook/beam management, and spatial multiplexing. Our measurement debunks some common misperceptions of mmWave V2X networks. In particular, due to the constrained roadway network structures, we find the beam management can be handled easily by the often-denounced beam scanning schemes, as long as the codebook is properly designed. Blockage can be almost eliminated through proper basestation deployment and cooperation. Highly effective spatial multiplexing can be realized even without sophisticated MIMO radios. Our work points to possible ways to realize efficient and reliable mmWave networks under high mobility, while maintaining the simplicity of standard network protocols.

show abstract

Section: Validation Of the 3d V2x Channel Simulationmentioning

confidence: 88%

Section: Customizing the Mmwave Radiomentioning

confidence: 99%

Section: Customizing the Mmwave Radiomentioning

confidence: 99%

Section: Customizing the Mmwave Radiomentioning

confidence: 99%

See 2 more Smart Citations

Demystifying millimeter-wave V2X

Wang

Huang

Zhang

2020

Proceedings of the 26th Annual International Conference on Mobile Computing and Networking

View full text Add to dashboard Cite

show abstract

“…2), so it requires no hardware modification and shares the same overhead (e.g., ∼1.1 ms out of each BI of around 100 ms). Many existing systems [18,19,41] also need AoD as an input, but they either lack support on commodity hardware (due to needs for CSI), or they require non-trivial computational time.…”

Section: Aod Estimation and Trackingmentioning

confidence: 99%

X-Array

Wang

Huang

Zhang

et al. 2020

Proceedings of the 26th Annual International Conference on Mobile Computing and Networking

View full text Add to dashboard Cite

Millimeter-wave (mmWave) networks are conventionally considered to bear a fundamental coverage limitation, due to the directional beams and limited field-of-view (FoV) of the phased array antennas. In this paper, we explore an array of phased arrays (APA) architecture, which aggregates co-located phased arrays with complementary FoVs to approximate WiFi-like omni-directional coverage. We found that straightforwardly activating all the arrays may even hamper network performance. To fully exploit the APA's potential, we propose X-Array, which jointly selects the arrays and beams, and applies a dynamic co-phasing mechanism to ensure different arrays' signals enhance each other. X-Array also incorporates a link recovery mechanism to identify alternative arrays/beams that can efficiently recover the link from outage. We have implemented X-Array on a commodity 802.11ad APA radio. Our experiments demonstrate that X-Array can approach omni-directional coverage and maintain high performance in spite of link dynamics. CCS CONCEPTS • Hardware → Wireless devices; Analysis and design of emerging devices and systems; • Networks → Network experimentation; Network mobility;

show abstract