Demo: Millimeter-Wave Massive MIMO Testbed with Hybrid Beamforming

Chung, MinKeun; Liu, Liang; Edfors, Ove; Tufvesson, Fredrik

doi:10.1109/wcncw48565.2020.9124740

Cited by 12 publications

(4 citation statements)

References 12 publications

(21 reference statements)

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“…Yang et al [31] and Kuai et al [32] have presented a 64-TRx fully-digital beamforming-based testbed, operating at 28 GHz and 37 − 42.5GHz band, respectively. Recently, our research team has demonstrated the initial version of LuMaMi28 at IEEE Wireless Communication and Networking Conference in 2020 [33], and presented a 28 GHz hybrid beamforming testbed with a 64-antenna/16-TRx unit [34]. However, to the best knowledge of the authors, none of the existing work on mmWave massive MIMO testbeds considers an user equipment (UE)-side beam-steering approach.…”

Section: A Related Workmentioning

confidence: 99%

LuMaMi28: Real-Time Millimeter-Wave Massive MIMO Systems with Antenna Selection

Chung¹,

Liu²,

Johansson³

et al. 2021

Preprint

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This paper presents LuMaMi28, a real-time 28 GHz massive multiple-input multiple-output (MIMO) testbed. In this testbed, the base station has 16 transceiver chains with a fullydigital beamforming architecture (with different pre-coding algorithms) and simultaneously supports multiple user equipments (UEs) with spatial multiplexing. The UEs are equipped with a beam-switchable antenna array for real-time antenna selection where the one with the highest channel magnitude, out of four pre-defined beams, is selected. For the beam-switchable antenna array, we consider two kinds of UE antennas, with different beam-width and different peak-gain. Based on this testbed, we provide measurement results for millimeter-wave (mmWave) massive MIMO performance in different real-life scenarios with static and mobile UEs. We explore the potential benefit of the mmWave massive MIMO systems with antenna selection based on measured channel data, and discuss the performance results through real-time measurements.

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Section: A Related Workmentioning

confidence: 99%

LuMaMi28: Real-Time Millimeter-Wave Massive MIMO Systems with Antenna Selection

Chung¹,

Liu²,

Johansson³

et al. 2021

Preprint

Self Cite

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“…This is conducive to send and receive signals through multiple antennas at the emitting end and receiving end, thus improving communication quality. [11][12][13] One of the most important massive MIMO techniques is the spatial multiplexing. Spatial multiplexing consists of sending different data streams independently in order to offer higher peak throughput.…”

Section: Introductionmentioning

confidence: 99%

“…The hardware supporting massive MIMO is to configure a larger scaled antenna array at the side of station. This is conducive to send and receive signals through multiple antennas at the emitting end and receiving end, thus improving communication quality 11–13 …”

Section: Introductionmentioning

confidence: 99%

Massive multi‐in multi‐out multiuser multiplexing based on transmission mode 3

Zeng

Ouyang

2021

Int J Communication

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Summary Multiuser multi‐in multi‐out (MU‐MIMO) technology using the fifth generation mobile network (5G) massive antenna can greatly increase the existing network capacity and help address problems related to large increases in network traffic. In this study, massive MIMO multiuser space division multiplexing based on transmission mode 3 (TM3) is realized by dividing massive MIMO antenna into virtual beam and fan section. Then the performance evaluations on the MU‐MIMO system in practical existing networks were conducted. The results showed that this technology can realize three times the amount of spatial multiplexing while still maintaining good mobility performance in a no‐load network. In addition, the capacity of the cell can be increased by the massive MIMO system in an existing network for a large user population (for a space division multiplexing factor of approximately 1.83). Test results are used to prove the effectiveness of the frequency‐division duplex massive MIMO multiuser multiplexing based on TM3 to increase the capacity of an existing network.

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“…A key feature is that there is an abundant spectrum available to support ultra-high data rate transmission. Owing to this, the mmWave bands have attracted considerable attention [2]- [4]. A critical issue, however, is that severe phase-noise (PN) arises from a local oscillator (LO) in practical mmWave systems.…”

Section: Introductionmentioning

confidence: 99%

Phase Noise Compensation for OFDM Systems Exploiting Coherence Bandwidth

Chung

Liu

Edfors

et al. 2019

2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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Phase-noise (PN) estimation and compensation are crucial in millimeter-wave (mmWave) communication systems to achieve high reliability. The PN estimation, however, suffers from high computational complexity due to its fundamental characteristics, such as spectral spreading and fast-varying fluctuations. In this paper, we propose a new framework for lowcomplexity PN compensation in orthogonal frequency-division multiplexing systems. The proposed framework also includes a pilot allocation strategy to minimize its overhead. The key ideas are to exploit the coherence bandwidth of mmWave systems and to approximate the actual PN spectrum with its dominant components, resulting in a non-iterative solution by using linear minimum mean squared-error estimation. The proposed method obtains a reduction of more than 2.5× in total complexity, as compared to the existing methods. Furthermore, we derive closedform expressions for normalized mean squared-errors (NMSEs) as a function of critical system parameters, which help in understanding the NMSE behavior in low and high signal-tonoise ratio regimes.

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Demo: Millimeter-Wave Massive MIMO Testbed with Hybrid Beamforming

Cited by 12 publications

References 12 publications

LuMaMi28: Real-Time Millimeter-Wave Massive MIMO Systems with Antenna Selection

LuMaMi28: Real-Time Millimeter-Wave Massive MIMO Systems with Antenna Selection

Massive multi‐in multi‐out multiuser multiplexing based on transmission mode 3

Phase Noise Compensation for OFDM Systems Exploiting Coherence Bandwidth

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