Analytical Model for Outdoor Millimeter Wave Channels Using Geometry-Based Stochastic Approach

“…This assumption stems from the fact that reflections tend to dominate NLOS propagation in mm-wave networks [15]. Additionally, the effect of higher-order reflections is assumed to be minimal due to increased pathloss and reflection losses, e.g., [16], [17]. Although we place a particular emphasis on 5G networks, we note however that our model can roughly capture diffraction effects (although not ideal), since we can assume that a point of diffraction can be replaced by a properly positioned reflector.…”

Section: Network Model This Section Outlines Important Definitionmentioning

confidence: 99%

“…In terms of the NLOS bias problem however, the aforementioned works either don't offer the results we need or don't utilize the assumptions we desire in addressing the NLOS bias problem. That is, while [16] derives the PDP under firstorder reflections, it does not provide the distribution of the first-arriving NLOS path length. Since the range measurement is determined via the first-arriving signal, it is desirable to have a characterization of only the first-arriving NLOS signal, not a characterization of all NLOS signals.…”

Section: Introductionmentioning

confidence: 99%

A Mathematical Justification for Exponentially Distributed NLOS Bias

O’Lone

Dhillon

Buehrer

2019

2019 IEEE Global Communications Conference (GLOBECOM)

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In the past few decades, the localization literature has seen many models attempting to characterize the non-lineof-sight (NLOS) bias error commonly experienced in range measurements. These models have either been based on specific measurement data or chosen due to attractive features of a particular distribution, yet to date, none have been backed by rigorous analysis. Leveraging tools from stochastic geometry, this paper attempts to fill this void by providing the first analytical backing for an NLOS bias error model. Using a Boolean model to statistically characterize the random locations, orientations, and sizes of reflectors, and assuming first-order (i.e., single-bounce) reflections, the distance traversed by the first-arriving NLOS path is characterized. Under these assumptions, this analysis reveals that NLOS bias exhibits an exponential form and can in fact be well approximated by an exponential distribution -a result consistent with previous NLOS bias error models in the literature. This analytically derived distribution is then compared to a common exponential model from the literature, revealing this distribution to be a close match in some cases and a lower bound in others. Lastly, the assumptions under which these results were derived suggest this model is aptly suited to characterize NLOS bias in 5G millimeter wave systems as well.

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“…For any realizations of obstacles, the mean number of obstacles falling within the region ABEHLKJZD is N = L,W ,θ N (L, W , θ). N is Poisson distributed and its expectation is given by [27]…”

Section: Reflection Success Probabilitymentioning

confidence: 99%

Modeling and Analysis of Eavesdropping Attack in 802.11ad mmWave Wireless Networks

et al. 2019

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Next generation wireless communication networks utilizing 60 GHz millimeter wave (mmWave) frequency bands are expected to achieve multi-gigabit throughput with the use of highly directional phased-array antennas. These directional signal beams provide enhanced security to the legitimate networks due to the increased difficulties of eavesdropping. However, there still exists significant possibility of eavesdropping since 1) the reflections of the signal beam from ambient reflectors enables opportunistic stationary eavesdropping attacks, and; 2) carefully designed beam exploration strategy enables active nomadic eavesdropping attack. This paper discusses eavesdropper attack strategies for 802.11ad mmWave systems and provides the first analytical model to characterize the success possibility of eavesdropping in both opportunistic stationary attacks and active nomadic attacks. We derive the success probability of eavesdropping considering the ambient reflectors in the environment and errors introduced in the beam exploration strategies of the proposed eavesdropping attacker models. We study the success probability for both opportunistic stationary attack scenario and active nomadic attack scenario through numerical simulations. In addition to numerical simulations, we also evaluate the proposed attacker models using an 802.11ad test bed consisting of commercially available off-the-shelf devices. INDEX TERMS Millimeter wave communications, 802.11ad, stochastic geometry, success probability, eavesdropping attack.

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Analytical Model for Outdoor Millimeter Wave Channels Using Geometry-Based Stochastic Approach

Cited by 37 publications

References 25 publications

Analysis and Optimization for Robust Millimeter-Wave Communications

Analysis and Optimization for Robust Millimeter-Wave Communications

A Mathematical Justification for Exponentially Distributed NLOS Bias

Modeling and Analysis of Eavesdropping Attack in 802.11ad mmWave Wireless Networks

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