Coupling of simulators for the investigation of car-to-x communication aspects

Schumacher, Henrik; Schack, Moritz; Kürner, Thomas

doi:10.1109/apscc.2009.5394139

Cited by 18 publications

(11 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The mobiles move on the streets in the area marked with a rectangle. More details on the realistic SOCRATES reference scenario can be found in [6] and [7]. In the performance studies we examine the system performance of the non-optimized network for different handover parameter settings.…”

Section: Handover Performance Indicators (Hpis)mentioning

confidence: 99%

Handover Parameter Optimization in LTE Self-Organizing Networks

Jansen

Balan²,

Turk

et al. 2010

2010 IEEE 72nd Vehicular Technology Conference - Fall

Self Cite

173

103

View full text Add to dashboard Cite

Abstract-This paper presents a self-optimizing algorithm that tunes the handover (HO) parameters of a LTE (Long-Term Evolution) base station in order to improve the overall network performance and diminish negative effects (call dropping , HO failures). The proposed algorithm picks the best hysteresis and time-to-trigger combination for the current network status. We examined the effects of this self-optimizing algorithm in a realistic scenario setting and the results show an improvement from the static value settings.

show abstract

Section: Handover Performance Indicators (Hpis)mentioning

confidence: 99%

Handover Parameter Optimization in LTE Self-Organizing Networks

Jansen

Balan²,

Turk

et al. 2010

2010 IEEE 72nd Vehicular Technology Conference - Fall

Self Cite

173

103

View full text Add to dashboard Cite

show abstract

“…The network is based on the antenna positions of an operator and the path losses to the users are calculated using a ray-tracer. More details on the realistic SOCRATES reference scenario can be found in [4] and [5]. The simulation results using the non-regular network layout are shown in Figure 6 and provide an evaluation on the performance gain achieved by the WPHPO algorithm.…”

Section: Simulation Scenariosmentioning

confidence: 99%

Weighted Performance Based Handover Parameter Optimization in LTE

Jansen

Balan

Stefański³

et al. 2011

2011 IEEE 73rd Vehicular Technology Conference (VTC Spring)

Self Cite

View full text Add to dashboard Cite

Abstract-Handover parameter optimization is a selfoptimizing network (SON) use case that promises significant performance improvement of the radio network. The basic idea is to adapt the handover control parameters, hysteresis and time-to-trigger, to the individual cell situation, in terms of e.g. the building density, cell environment and degree of user mobility. The aim is to reduce the number of handover failures, ping-pong handovers and radio link failures. We propose an handover parameter optimization algorithm that tunes the hysteresis and time-to-trigger in iterative steps and show the system performance improvement with it in both a realistic and a hexagonal simulation scenario.

show abstract

“…12). As an alternative, some efforts have pursued the integration of two simulators (ray-tracing-for propagation-and network simulators): this would lead to very precise simulation results but, at the current stage, it has been demonstrated not to be computationally affordable [34].…”

Section: Modularitymentioning

confidence: 99%

The MAC Layer of VANETs

Campolo

Molinaro

Scopigno

et al. 2015

Vehicular Ad Hoc Networks

View full text Add to dashboard Cite

The design of the Medium Access Control (MAC) layer for vehicular networks should carefully cope with fast changing topologies caused by vehicle mobility, short connection lifetimes, harsh propagation environments, high node density, and heterogeneous traffic nature and quality demands. This chapter provides a detailed description of MAC functions (i.e., channel access rules, prioritization schemes, frame types, and formats), as specified by the IEEE 802.11p and ETSI ITS-G5 standards, and the multichannel operation. By discussing the main challenges which the MAC has to deal with, the chapter also presents the main evaluation tools (analytics, simulations, field-tests) that can be used to analyze the MAC performance. IntroductionSince the beginning of research on Vehicular ad-hoc networks (VANETs), in the early 1990s, different wireless technologies have been considered to support vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications with the primary goal of enabling cooperative safety applications.The MAC layer, whatever the access technology, plays a crucial role in regulating the access to the common wireless medium so that multiple stations share it efficiently. The most pressing requirement for a MAC in a vehicular environment was for a decentralized operation, without a coordinator and/or a central manager in charge of ruling the channel access or the resource assignment. This way, vehicular nodes are enabled to communicate without explicitly joining the network (i.e., associating with the access point or the base station playing the coordinator role).Among available radio technologies, the simple and worldwide well-known IEEE 802.11 [27] technology was considered the best candidate to enable V2V and V2I wireless communications; notably, it also guaranteed the perspective of supporting services other than safety (such as automated tolling, enhanced navigation, and traffic management). Initially proposed as an amendment to the IEEE 802.11, 802.11p is now part of the last IEEE 802.11 standard [27] and represents the de facto solution for vehicular communications.This decision was one of the few shared between the IEEE 1609 family of standards for Wireless Access in Vehicular Environments (WAVE) and the European profile standard of Intelligent Transport Systems (ITS) operating in the 5 GHz frequency band standardized by ETSI (ITS-G5) [28].IEEE 802.11p inherits the main operating principles of the 802.11 technology, however, unlike 802.11, it has been specifically conceived to provide short-tomedium range connectivity (in a range up to 1,000 m) to fast moving vehicles in a very different environment compared to wireless office/home. Many other differences might (and will) be highlighted in Sect. 4.2.Summing up:• VANETs adopt the same PHY-MAC layers of IEEE 802.11;• the PHY layer, relying on Orthogonal Frequency Division Multiplexing (OFDM) as discussed in Chap. 3, has been slightly modified for VANETs and, in most cases, it now suits the VANETs' requirements-with exception of tho...

show abstract

Coupling of simulators for the investigation of car-to-x communication aspects

Cited by 18 publications

References 7 publications

Handover Parameter Optimization in LTE Self-Organizing Networks

Handover Parameter Optimization in LTE Self-Organizing Networks

Weighted Performance Based Handover Parameter Optimization in LTE

The MAC Layer of VANETs

Contact Info

Product

Resources

About