5G Infrastructure RF Solutions: Challenges and Opportunities

Westberg, Eric; Staudinger, Joseph; Annes, Justin P.; Shilimkar, Vikas S.

doi:10.1109/mmm.2019.2941631

Cited by 27 publications

(13 citation statements)

References 8 publications

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“…In other words, the NLOS paths can be treated as orthogonal paths carrying independent information [9], [33], leading in turn to Λ(γ h , γ ) = 0 4×4 for h = in (7). Neglecting these terms, the approximate expression of the Σ p is given by (22), where…”

Section: Role Of Nlos Components On Ms Position Estimationmentioning

confidence: 99%

Downlink Single-Snapshot Localization and Mapping with a Single-Antenna Receiver

Fascista¹,

Coluccia²,

Wymeersch³

et al. 2020

Preprint

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5G mmWave MIMO systems enable accurate estimation of the user position and mapping of the radio environment using a single snapshot when both the base station (BS) and user are equipped with large antenna arrays. However, massive arrays are initially expected only at the BS side, likely leaving users with one or very few antennas. In this paper, we propose a novel method for single-snapshot localization and mapping in the more challenging case of a user equipped with a single-antenna receiver.The joint maximum likelihood (ML) estimation problem is formulated and its solution formally derived.To avoid the burden of a full-dimensional search over the space of the unknown parameters, we present a novel practical approach that exploits the sparsity of mmWave channels to compute an approximate joint ML estimate. A thorough analysis, including the derivation of the Cramér-Rao lower bounds, reveals that accurate localization and mapping can be achieved also in a MISO setup even when the direct line-of-sight path between the BS and the user is severely attenuated.

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Section: Role Of Nlos Components On Ms Position Estimationmentioning

confidence: 99%

Downlink Single-Snapshot Localization and Mapping with a Single-Antenna Receiver

Fascista¹,

Coluccia²,

Wymeersch³

et al. 2020

Preprint

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show abstract

“…This places significant challenges on designing RF front-end circuits and systems. In the new application scenarios, individual RF power amplifiers (PAs) are expected to produce lower power, but they still need to maintain high linearity to meet error vector magnitude and spectral emission requirements [2].…”

Section: Introductionmentioning

confidence: 99%

Reducing Power Consumption of Digital Predistortion for RF Power Amplifiers Using Real-Time Model Switching

Wang

Zhu

2022

IEEE Trans. Microwave Theory Techn.

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In this article, we propose a new behavioral modeling method to reduce the running complexity and power consumption of digital predistortion (DPD) models for radio frequency power amplifiers. By employing the proposed method, different cross terms in a DPD model can be switched dynamically in real time. Each cross-term branch can further choose the model coefficients from multiple coefficient sets, which improves the DPD performance with little extra complexity. The switch of both cross-term branches and model coefficients is realized using a decision tree-based switch controller, leading to very low runtime complexity. By optimizing the selection process, different input samples can choose the most suitable model configuration that contributes most to the linearization performance. As only one branch is activated at a time, the power consumption can be greatly reduced. Based on the experimental results, the proposed method can achieve excellent linearization performance with significantly reduced power consumption.

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“…The role of positioning in mobile communications has enormously grown in the fifth generation (5G) of cellular systems, due, among other factors, to to the use of mmWave massive multiple-input multiple-output (MIMO) technologies. However, before full-fledged MIMO infrastructures will be widespread, mmWave MISO systems using a single-antenna mobile station (MS) are regarded as a promising solution to obtain some of the benefits envisioned for 5G already in the very near future [1]. In fact, although the angle-of-arrival (AOA) information is not available in the MISO setup, precise estimation of location-related information such as time-of-flight (TOF) and angle-of-departure (AOD) is still possible [2,3], enabling accurate localization [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

RIS-Aided Joint Localization and Synchronization with a Single-Antenna Mmwave Receiver

Fascista

Coluccia

Wymeersch

et al. 2021

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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MmWave multiple-input single-output (MISO) systems using a single-antenna receiver are regarded as a promising solution for the near future, before the full-fledged 5G MIMO will be widespread. However, for MISO systems synchronization cannot be performed jointly with user localization unless two-way transmissions are used. In this paper we show that thanks to the use of a reconfigurable intelligent surface (RIS), joint localization and synchronization is possible with only downlink MISO transmissions. The direct maximum likelihood (ML) estimator for the position and clock offset is derived. To obtain a good initialization for the ML optimization, a decoupled, relaxed estimator of position and delays is also devised, which does not require knowledge of the clock offset. Results show that the proposed approach attains the Cramér-Rao lower bound even for moderate values of the system parameters.

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5G Infrastructure RF Solutions: Challenges and Opportunities

Cited by 27 publications

References 8 publications

Downlink Single-Snapshot Localization and Mapping with a Single-Antenna Receiver

Downlink Single-Snapshot Localization and Mapping with a Single-Antenna Receiver

Reducing Power Consumption of Digital Predistortion for RF Power Amplifiers Using Real-Time Model Switching

RIS-Aided Joint Localization and Synchronization with a Single-Antenna Mmwave Receiver

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