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Jens Mittag

Researcher at Karlsruhe Institute of Technology

Publications -  34
Citations -  1501

Jens Mittag is an academic researcher from Karlsruhe Institute of Technology. The author has contributed to research in topics: Wireless & Network packet. The author has an hindex of 15, co-authored 34 publications receiving 1419 citations.

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Vehicle-to-Vehicle Communication: Fair Transmit Power Control for Safety-Critical Information

TL;DR: This paper proposes a distributed transmit power control method based on a strict fairness criterion, i.e., distributed fair power adjustment for vehicular environments (D-FPAV), to control the load of periodic messages on the channel and proves the fairness of the proposed approach.
Journal ArticleDOI

Congestion and Awareness Control in Cooperative Vehicular Systems

TL;DR: Various decentralized methods to control the load on the radio channels and to ensure each vehicle's capacity to detect and communicate with the relevant neighboring vehicles are surveyed, with a particular focus on approaches based on transmit power and rate control.
Proceedings ArticleDOI

Analysis and design of effective and low-overhead transmission power control for VANETs

TL;DR: This paper addresses distributed transmission power control as a means to control the impact of periodic transmissions (`beacons') on the overall channel load and proposes a segment-based power adjustment approach based on a distributed vehicle density estimation.
Proceedings ArticleDOI

A comparison of single- and multi-hop beaconing in VANETs

TL;DR: This paper proposes an analytical model and performs a simulative comparison of single- and multi-hop beaconing to evaluate the impact of effects such as packet collisions and channel fading and shows that the possible savings of multi- hop beaconing are difficult to exploit under non-perfect channel conditions and suboptimal relaying decisions.

Enabling Accurate Cross-Layer PHY/MAC/NET Simulation Studies of Vehicular Communication Networks The authors of this paper have tested and validated a physical layer simulator integrated with the popular NS-3 network simulator and have made their work available online.

TL;DR: In this paper, the authors integrated a detailed physical layer simulator into the NS-3 network simulator, which aims to bridge the gap between the physical and network layer perspectives, allow for more accurate channel and physical layer models, and enable studies on cross-layer optimization.