Multi-Panel MIMO in 5G

Huang, Yi; Li, Yuanjie; Ren, Haibao; Lu, Jianmin; Zhang, Wei

doi:10.1109/mcom.2018.1700832

Cited by 72 publications

(27 citation statements)

References 6 publications

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“…in Table 1, where the coordinates and the height of all LTE basestations (173 in total, 25.4 per km 2 ) are obtained from OpenCellID [52]. The mmWave basestations are all configured to use 60 GHz multi-panel phased arrays [36] which can achieve omni-coverage [43] with 83dBm EIRP (FCC limit [38]). The heatmap in Fig.…”

Section: Experimental Scenarios and Setupmentioning

confidence: 99%

“…This implies that for basestations serving complicated road structures, the AoD curves can be decomposed to simpler curves, each corresponding to a simple road segment. Moreover, multi-panel phased array [36,43] will be widely used in 5G to expand the basestations' FoV. Each panel covers one or a few simple road segments, and the AoD sparity still holds for each panel.…”

Section: Aod Sparsity Across Locationsmentioning

confidence: 99%

“…3GPP NR basestations adopt "Array-of-Phased-Arrays" (APA) [36,43], i.e., multiple phased array panels form a large planar or circular layout for gain or coverage improvement. Recent work [43] pointed out that such APA structure may suffer from a "co-phasing" effect, i.e., when the different phased arrays beamform simultaneously to the same UE, their signals may combine incoherently, thus degrading link quality.…”

Section: Multi-array Basestationsmentioning

confidence: 99%

“…The inter-cell interference can be significantly reduced by using Rx beamforming on the UE side. The use of multi-array radios, as proposed by 3GPP [36], may cause a destructive co-phasing effect that reduces link quality. Interestingly, co-phasing does not affect the beam selection and hence can be addressed in an orthogonal manner.…”

Section: Introductionmentioning

confidence: 99%

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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: Experimental Scenarios and Setupmentioning

confidence: 99%

Section: Aod Sparsity Across Locationsmentioning

confidence: 99%

Section: Multi-array Basestationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Demystifying millimeter-wave V2X

Wang

Huang

Zhang

2020

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

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“…The combined coverage may provide more multipath diversity, i.e., signals may traverse different paths through reflections, making it easier to save a link under blockage. The APA architecture has been adopted recently by both 802.11ad [25,26] and 5G NR devices [27][28][29][30][31][32]. Apart from coverage, APA also offers advantages in cost and efficiency.…”

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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Beamforming and Precoding Techniques

2020

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Beamforming and precoding/combining are techniques aimed at processing multiantenna signals at the transmitter and/or at the receiver of a wireless communication system. While they have been routinely used to improve performance in current and previous generations of mobile communications systems, they are expected to play a more fundamental role in 5th Generation (5G) New Radio (NR) cellular systems, whose functionalities have been defined in the first phase of 3GPP 5G standardization process. Besides operating in traditional cellular sub‐6 GHz frequency band, 5G NR has been natively designed to work in the higher millimeter‐wave (MMW) band. At lower frequencies, multiantenna techniques for 5G NR are mainly refinements of those originally designed for 4G Long‐Term Evolution (LTE). On the contrary, to cope with the peculiarities of MMW scenarios, such as the larger number of antenna elements, the more directional transmission, and the higher path loss values, new dynamic, user‐specific, and computationally efficient multiantenna solutions and procedures have been incorporated in 5G NR specifications. In particular, since multiantenna techniques for 5G NR generally need detailed channel state information (CSI), a complete redesign of the set of reference signals and procedures used for CSI acquisition and reporting was carried out. 5G NR is continuously evolving and new features will be added, while the existing ones will be enhanced in the second phase of 5G standardization, with particular emphasis on beam management operations, reduction of CSI overhead, unconventional transmission methods, robustness against spatial correlation among channels, and software‐based reconfigurable antennas.

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Multi-Panel MIMO in 5G

Cited by 72 publications

References 6 publications

Demystifying millimeter-wave V2X

Demystifying millimeter-wave V2X

X-Array

Beamforming and Precoding Techniques

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