Beam-forecast: Facilitating mobile 60 GHz networks via model-driven beam steering

Zhou, Anfu; Zhang, Xinyu; Ma, Huadóng

doi:10.1109/infocom.2017.8057188

Cited by 69 publications

(32 citation statements)

References 23 publications

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“…The key challenge of mmWave V2X beam management thus lies in efficiently selecting the best beam(s) for arbitrarily located Tx/Rx. Prior research generally demoted the exhaustive beam scanning method, and attempted to reduce the beam search overhead through compressive searching or specialized hardware capabilities [10,11,20,60,61], which inevitably adds to system complexity. Plus, the formidable computation time of the algorithms may not justify the savings in beam searching time.…”

Section: Aod Sparsity Across Locationsmentioning

confidence: 99%

Demystifying millimeter-wave V2X

Wang

Huang

Zhang

2020

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

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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.

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Section: Aod Sparsity Across Locationsmentioning

confidence: 99%

Demystifying millimeter-wave V2X

Wang

Huang

Zhang

2020

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

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“…This single sequential connectivity scenario, as reported in [22], is standard-compliant and mitigates disadvantages of the multiple parallel connectivity scenario. Moreover, recent works exploited sparse scattering properties of mmWave channels to model the spatial and temporal correlation of the mmWave channels between a stationary BS and a mobile UE [23,24]. Using this model, they have proposed efficient beam-tracking approaches to predict and facilitate handover events.…”

Section: Mobility Management and Handovermentioning

confidence: 99%

MAC Aspects of Millimeter-Wave Cellular Networks

Ghadikolaei¹

2020

Wireless Mesh Networks - Security, Architectures and Protocols

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The current demands for extremely high data rate wireless services and the spectrum scarcity at the sub-6 GHz bands are forcefully motivating the use of the millimeter-wave (mmWave) frequencies. MmWave communications are characterized by severe attenuation, sparse-scattering environment, large bandwidth, high penetration loss, beamforming with massive antenna arrays, and possible noiselimited operation. These characteristics imply a major difference with respect to legacy communication technologies, primarily designed for the sub-6 GHz bands, and are posing major design challenges on medium access control (MAC) layer. This book chapter discusses key MAC layer issues at the initial access and mobility management (e.g., synchronization, random access, and handover) as well as resource allocation (interference management, scheduling, and association). The chapter provides an integrated view on MAC layer issues for cellular networks and reviews the main challenges and trade-offs and the state-of-the-art proposals to address them.

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“…Recovering from link outage, especially under blockage: MmWave link outage may occur in an unpredictable manner, due to other objects moving across the LoS or the device user's own body blockage. For single-array radios, existing work has explored algorithms to realign the transmitter and receiver's beams, taking advantage of the correlation between beam patterns on the same phased array [17,19]. Yet for an APA, a new mechanism is needed that can reselect the array as well as its optimal beam to leverage the multipath diversity.…”

Section: Challengesmentioning

confidence: 99%

“…Yet, when the receiver is mobile or when the line-of-sight (LoS) is blocked by obstacles, such a trial-and-error scanning may incur huge overhead in finding an alternative beam [14][15][16]. Recent years witnessed substantial research in designing efficient algorithms to identify the optimal beam directions under link dynamics [17][18][19][20]. (ii) Limited field-of-view (FoV) coverage.…”

Section: Introductionmentioning

confidence: 99%

X-Array

Wang

Huang

Zhang

et al. 2020

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

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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;

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Beam-forecast: Facilitating mobile 60 GHz networks via model-driven beam steering

Cited by 69 publications

References 23 publications

Demystifying millimeter-wave V2X

Demystifying millimeter-wave V2X

MAC Aspects of Millimeter-Wave Cellular Networks

X-Array

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