Temporal Correlation of Interference in Vehicular Networks With Shifted-Exponential Time Headways

Koufos, Konstantinos; Dettmann, Carl P.

doi:10.1109/lwc.2018.2865926

Cited by 6 publications

(7 citation statements)

References 13 publications

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“…In addition, it would be interesting to study the joint distribution of the SIR over multiple slots, which is related to the design of retransmission schemes for VANETs. Some preliminary analysis about the temporal statistics of interference under the hardcore point process can already be found in [35]. For the middle lane we assume PPP beyond r 0 for the models M1 and M2 with λm ≈ 0.0186 m −1 .…”

Section: Discussionmentioning

confidence: 99%

The Meta Distribution of the SIR in Linear Motorway VANETs

Koufos

Dettmann

2019

IEEE Trans. Commun.

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The meta distribution of the signal-to-interferenceratio (SIR) is an important performance indicator for wireless networks because, for ergodic point processes, it describes the fraction of scheduled links that achieve certain reliability, conditionally on the point process. In this paper, we calculate the moments of the meta distribution in vehicular ad hoc networks (VANETs) along high-speed motorways. Due to the high speeds, the drivers maintain large safety distances, and the Poisson point process (PPP) becomes a poor deployment model. Because of that, we model the distribution of inter-vehicle distance equal to the sum of a constant hardcore distance and an exponentially distributed random variable. We design a novel discretization model for the locations of vehicles which can be used to approximate well the meta distribution of the SIR due to the hardcore process. We validate the model against synthetic motorway traces. On the other hand, the PPP overestimates significantly the coefficient-of-variation of the meta distribution due to the hardcore process, and its predictions fail. In addition, we show that the calculation of the meta distribution becomes especially meaningful in the upper tail of the SIR distribution.

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Section: Discussionmentioning

confidence: 99%

The Meta Distribution of the SIR in Linear Motorway VANETs

Koufos

Dettmann

2019

IEEE Trans. Commun.

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“…To be more precise, we have at the beginning of an iteration access to the partial scheduleX constructed so far. The intragroup interference that VUE i ∈ T (c,g) (57) whereP k,f ,t is the transmit power of VUE k if scheduled in RB (f , t). Ignoring pathloss and assuming that each blocking vehicle introduce an additional gain β < 1, we note that H k,i = β |k−i|−1 .…”

Section: Algorithm 2 Cdsmentioning

confidence: 99%

“…The distance d between any two adjacent VUEs is modeled as a shifted exponential distributed random variable, with minimum distance d min and average distance d avg [51], [57]- [59]. That is, in each trial of the simulation, we drop VUEs in a convoy with random adjacent vehicular distances d, whose probability density function is given as, We assume that each VUE wants to broadcast its message within T timeslots to the nearest N Rx VUEs, i.e., R i is the closest N Rx VUEs to VUE i.…”

Section: Performance Evaluation a Scenario And Parametersmentioning

confidence: 99%

Radio Resource Management for V2V Multihop Communication Considering Adjacent Channel Interference

Hisham¹,

Ström

Brännström

2021

IEEE Trans. Intell. Transport. Syst.

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“…For the simulation purpose, we consider a platooning scenario, where N VUEs are distributed on a convoy, as used in the realtime vehicular channel measurements done in [33]. The distance between any two adjacent VUEs, d, follows a shifted exponential distribution, with the minimum distance d min and the average distance d avg [34]- [37]. That is, the probability density function of d is given as,…”

Section: A Scenario and Parametersmentioning

confidence: 99%

Scheduling and Power Control for V2V Broadcast Communications With Co-Channel and Adjacent Channel Interference

et al. 2019

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This paper investigates how to mitigate the impact of both co-channel interference and adjacent channel interference (ACI) on vehicle-to-vehicle (V2V) broadcast communication by scheduling and power control. The optimal joint scheduling and power control problem, with the objective to maximize the number of connected vehicles, is formulated as a mixed integer programming problem with a linear objective and a quadratic constraint. From the joint formulation, we derive (a) the optimal scheduling problem for fixed transmit powers as a Boolean linear programming problem and (b) the optimal power control problem for a fixed schedule as a mixed integer linear programming problem. Optimal schedules and power values can, for smaller-size instances of the problem, be computed by solving first (a) and then (b). To handle larger-size instances of the problem, we propose heuristic scheduling and power control algorithms with reduced computational complexity. Simulation results indicate that the heuristic scheduling algorithm yields significant performance improvements compared to the baseline block-interleaver scheduler and that performance is further improved by the heuristic power control algorithm. Moreover, the heuristic algorithms perform close to the optimal scheme for small instances of the problem.

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Temporal Correlation of Interference in Vehicular Networks With Shifted-Exponential Time Headways

Cited by 6 publications

References 13 publications

The Meta Distribution of the SIR in Linear Motorway VANETs

The Meta Distribution of the SIR in Linear Motorway VANETs

Radio Resource Management for V2V Multihop Communication Considering Adjacent Channel Interference

Scheduling and Power Control for V2V Broadcast Communications With Co-Channel and Adjacent Channel Interference

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