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Vehicular Transmission Reliability over Blind Intersections

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IEEE Swedish Communication Technologies Workshop (Swe-CTW'17)

Citation for the published paper:Abdulla, M. ; Wymeersch, H. (2017) "Vehicular Transmission Reliability over BlindIntersections". IEEE Swedish Communication Technologies Workshop (Swe-CTW'17)

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Vehicular Transmission Reliability over BlindIntersections

Mouhamed Abdulla and Henk Wymeersch

Vehicle-to-vehicle (V2V) communication can improve road safety and traffic efficiency, particularly around critical areassuch as intersections. We analytically derive V2V success probability near an urban intersection, based on empirically supportedline-of-sight (LOS), weak-line-of-sight (WLOS), and non-line-of-sight (NLOS) channel models. The analysis can serve as apreliminary design tool for performance assessment over different system parameters and target performance requirements.The most interesting outcome of this research is the ability to design the network and explicitly quantify the tolerated numberof simultaneous transmissions that could occur at the same time-frame of the wanted transmission, while still meeting the pre-determined target reliability. Meanwhile, we will also discuss means to determine the fraction of vehicular traffic realizationsthat achieve the target reliability. This is a more granular finely detailed analysis, and it will basically builds on the resultspresented earlier.

Fig. 1. Blind intersections are estimated to cause ∼ 47% of all accidents. V2x can overcome this challenge, since packet reliability can lead to road-safety.

Motivation

5G Use-Cases

V2x Communications

Intersections/Corners

Target Reliability

Vehicular Transmission Reliability over Blind IntersectionsMouhamed Abdulla, Ph.D., P.Eng. and Henk Wymeersch, Ph.D.

Chalmers University of Technology – Gothenburg, Sweden

packet reliability

↓

road-safety

~ 47% of all

accidents

reliability ≤ 10-5

transmission distance ~ 100m [urban]

~ 200m [suburban]

Research Questions

1. How to quantify/evaluate V2V packet

reliability in blind intersections?

2. How to design vehicle ad hoc network

(VANET) to meet a fail-safe target

reliability?

3. How to go beyond misleading averages

and explicitly study reliability of each

vehicular traffic realization?

urban intersection

our research attempts to uncover the collection of

these important unknowns!

suburban corner

Quantifying Reliability

Network Design

• road dimension:

• target reliability:

• requirements:

• design guidelines:

Meta Distribution

Channel Propagation

Average Reliability

Fine-Grained Reliability

Conclusion

� Metrics for packet reliability are

necessary for network analysis & design.

� Traditional metrics based on averages

are not precise enough for ultra-reliable

and delay-sensitive applications such as

V2x com.

� Fine-grained reliability per traffic

realization reveals a bimodal distribution

outcome.

� Smaller road-segment “R” results in a

more polarized reliability outcome.

� This striking revelation would have

never been obvious by simply exploring

averages for reliability.

road

segment

road

segment

horizontal interferers vertical interferers

path loss exponent Gauss’s hypergeometric

channel: breakpoint distance

success probability (with no interference)

success probabilityworst-case scenario

transmit probability

optimum

input #2

input #1

advanced granular analysis(Palm Calculus)

basic analysis(averages)

System Parameters

target reliability Ptarget = 0.9

transmit power P0 = 20 dBmW

AWGN floor N0 = − 99 dBmW

RX sensitivity β = 8 dB

operating frequency f0 = 5.9 GHz

reference distance d0 = 10 m

break-point distance ∆ = 15 m

path loss (PL) exponent α = 1.68

PL for LOS/WLOS A0 = − 21.06 dBm

PL for NLOS A’0 = − 6.8 dBm

operating frequency f0 = 5.9 GHz

reference distance d0 = 10 m

path loss (PL) exponent α = 2.0

PL for LOS/WLOS A0 = − 17.86 dBm

suburban channel urban channel

y

x

VirtualSource11p Model

urban buildup

(metallic)

waveguide-x

wav

egu

ide

-y

rxx

x

y

x

urban buildup

(metallic)

rxx

x

Manhattan Model

∆

suburban foliagey

x

rxx

x

largest V2V com. distance dmax = 100 m (l1-norm)

RX distance from junction ||xrx|| = 50 m

traffic intensity λ = 0.01 #/m

road segment R = 200 m

X road

Y road

transmitter

receiver

deployment region

horizontal interferers

vertical interferers

SINR sensitivity:

thermal noise:

suburban channel urban channel

suburban intersection

urban intersection