On the Outage Probability of Millimeter Wave Links with Quasi-deterministic Propagation

AbdelNabi, Amr A.; Mancuso, Vincenzo; Marsan, Marco Ajmone

doi:10.1145/3349624.3356762

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…Treating blocking on each received signal path independently, i.e., independent blocking, is a common assumption in the literature [5], [6], [7]. Further, for each separate reflection path, treating blocking independently on the incident and reflected paths has been done previously in [8], and a similar treatment is also presented in [26]. Sections III-B and IV-A reveal that treating the incident and reflected paths independently matches true correlated blocking rather well.…”

Section: A Assumptionsmentioning

confidence: 93%

Characterizing the First-Arriving Multipath Component in 5G Millimeter Wave Networks: TOA, AOA, and Non-Line-of-Sight Bias

O’Lone¹,

Dhillon²,

Buehrer³

2020

Preprint

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This paper presents a stochastic geometry-based analysis of propagation statistics for 5G millimeter wave (mm-wave) cellular. In particular, the time-of-arrival (TOA) and angle-of-arrival (AOA) distributions of the first-arriving multipath component (MPC) are derived. These statistics find their utility in many applications such as cellular-based localization, channel modeling, and link establishment for mm-wave initial access (IA). Leveraging tools from stochastic geometry, a Boolean model is used to statistically characterize the random locations, orientations, and sizes of reflectors, e.g., buildings.Assuming non-line-of-sight (NLOS) propagation is due to first-order (i.e., single-bounce) reflections, and that reflectors can either facilitate or block reflections, the distribution of the path length (i.e., absolute time delay) of the first-arriving MPC is derived. This result is then used to obtain the first NLOS bias distribution in the localization literature that is based on the absolute delay of the first-arriving MPC for outdoor time-of-flight (TOF) range measurements. This distribution is shown to match exceptionally well with commonly assumed gamma and exponential NLOS bias models in the literature, which were only attained previously through heuristic or indirect methods. Continuing under this analytical framework, the AOA distribution of the first-arriving MPC is derived, which gives novel insight into how environmental obstacles affect the AOA and also represents the first AOA distribution derived under the Boolean model. Index TermsLocalization, range measurement, non-line-of-sight (NLOS) bias, time-of-flight (TOF), time-ofarrival (TOA), angle-of-arrival (AOA), multipath component (MPC), stochastic geometry, Boolean model, Poisson point process (PPP), millimeter wave (mm-wave), first-order reflection, independent blocking.

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Section: A Assumptionsmentioning

confidence: 93%

Characterizing the First-Arriving Multipath Component in 5G Millimeter Wave Networks: TOA, AOA, and Non-Line-of-Sight Bias

O’Lone¹,

Dhillon²,

Buehrer³

2020

Preprint

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“…This implies that in the case of mmwave, reflections carry signals much weaker than what delivered over the line-ofsight (LoS) path [7]. 1 Indeed, experimental studies have shown that the received mmwave signal is mainly composed by the LoS component plus what received from first-order Incorporating models of outage into the analytical framework for mmwave system design is important, since outage significantly impacts design choices. Outage is usually modeled by considering self-body outage effects [10] and shadowing effects, whose impact can be represented by means of a lognormal random variable (r.v.).…”

Section: Introductionmentioning

confidence: 99%

“…More specifically, motivated by previous research in this area, we present the first work that accounts for the possibility that outage is caused by the accumulated attenuation due to more than one obstruction over any of the paths that beamsteering can select in the presence of quasi-deterministic propagation. Our early results were presented in [1], where we have shown how to estimate the outage probability based on a simple 2D model of the average length of the portion of a path that is occupied by obstructions. In there, we account for LoS paths as well as reflections with a very simplified model of the individual obstruction contribution to path (i.e., by considering that each obstruction causes the same attenuation, computed based on the average chord length of the obstruction shape).…”

Section: Introductionmentioning

confidence: 99%

Outage of Millimeter Wave Links With Randomly Located Obstructions

2020

Self Cite

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According to current regulation, millimeter wave links can only rely on low transmission power, which calls for high gain steerable antenna arrays to generate very directional beams bringing signals of detectable power to the intended receiver. However, beam directionality, jointly with the very limited scattering and diffracting capabilities of millimeter waves, implies high sensitivity to obstructions, which can cause link outage. This article proposes new analytical models for the estimation of the outage probability of millimeter wave indoor and outdoor links, based on the derivation of the distribution of the obstruction length along the beam. To derive the models, we use stochastic geometry and assume randomly located obstructions. The proposed models are used to explore the impact on millimeter wave link performance of a number of parameters such as distance between transmitter and receiver, obstruction shape size, density of obstructions, and carrier frequency and modulated bandwidth. The models can be used to study realistic 2D and 3D scenarios, and are shown to be quite accurate by comparing analytical predictions and simulation results in numerous cases.

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Characterizing the First-Arriving Multipath Component in 5G Millimeter Wave Networks: TOA, AOA, and Non-Line-of-Sight Bias

O’Lone

Dhillon

Buehrer

2022

IEEE Trans. Wireless Commun.

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On the Outage Probability of Millimeter Wave Links with Quasi-deterministic Propagation

Cited by 3 publications

References 11 publications

Characterizing the First-Arriving Multipath Component in 5G Millimeter Wave Networks: TOA, AOA, and Non-Line-of-Sight Bias

Characterizing the First-Arriving Multipath Component in 5G Millimeter Wave Networks: TOA, AOA, and Non-Line-of-Sight Bias

Outage of Millimeter Wave Links With Randomly Located Obstructions

Characterizing the First-Arriving Multipath Component in 5G Millimeter Wave Networks: TOA, AOA, and Non-Line-of-Sight Bias

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