Joint Design of Communication and Control for Connected Cars in 5G Communication Systems

Pandi, Sreekrishna; Fitzek, Frank H. P.; Lehmann, Christopher; Nophut, David; Kiss, Domokos; Kovács, Viktor; Nagy, Akos; Csorvási, Gábor; Tóth, Miklós; Rajacsis, Tamas; Charaf, Hassan; Liebhart, Rainer

doi:10.1109/glocomw.2016.7848940

Cited by 32 publications

(10 citation statements)

References 5 publications

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“…We continue this work in the future by implementing the proposed algorithm on our physical testbed [52,53] utilizing small-sized model cars and later on a real vehicle to perform real-life tests and performance measurements. Further research includes the investigation of possible applications in previously unknown and changing environments, and the interaction possibilities of this planning method with online map building algorithms.…”

Section: Discussionmentioning

confidence: 99%

Autonomous Path Planning for Road Vehicles in Narrow Environments: An Efficient Continuous Curvature Approach

Kiss

Tevesz

2017

Journal of Advanced Transportation

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In this paper we introduce a novel method for obtaining good quality paths for autonomous road vehicles (e.g., cars or buses) in narrow environments. There are many traffic situations in urban scenarios where nontrivial maneuvering in narrow places is necessary. Navigating in cluttered parking lots or having to avoid obstacles blocking the way and finding a detour even in narrow streets are challenging, especially if the vehicle has large dimensions like a bus. We present a combined approximation-based approach to solve the path planning problem in such situations. Our approach consists of a global planner which generates a preliminary path consisting of straight and turning-in-place primitives and a local planner which is used to make the preliminary path feasible to car-like vehicles. The approximation methodology is well known in the literature; however, both components proposed in this paper differ from existing similar planning methods. The approximation process with the proposed local planner is proven to be convergent for any preliminary global paths. The resulting path has continuous curvature which renders our method well suited for application on real vehicles. Simulation experiments show that the proposed method outperforms similar approaches in terms of path quality in complicated planning tasks.

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Section: Discussionmentioning

confidence: 99%

Autonomous Path Planning for Road Vehicles in Narrow Environments: An Efficient Continuous Curvature Approach

Kiss

Tevesz

2017

Journal of Advanced Transportation

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“…The future 5G wireless networks require a huge capacity to connect anything-anywhere at any time. With mm-wave bands, massive multiple-input multiple-output (MIMO) and other 5G technologies, the wireless network will be able to serve the future smartphone users, robotics [22], remote surgeries [23], and autonomous cars [24,25]. Already, elevated expectations have been set for 5G by promising ultralow latency and record-breaking data speeds for consumers.…”

Section: Related Workmentioning

confidence: 99%

Comparative Study of Indoor Propagation Model Below and Above 6 GHz for 5G Wireless Networks

et al. 2019

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It has been widely speculated that the performance of the next generation based wireless network should meet a transmission speed on the order of 1000 times more than the current cellular communication systems. The frequency bands above 6 GHz have received significant attention lately as a prospective band for next generation 5G systems. The propagation characteristics for 5G networks need to be fully understood for the 5G system design. This paper presents the channel propagation characteristics for a 5G system in line of sight (LOS) and non-LOS (NLOS) scenarios. The diffraction loss (DL) and frequency drop (FD) are investigated based on collected measurement data. Indoor measurement results obtained using a high-resolution channel sounder equipped with directional horn antennas at 3.5 GHz and 28 GHz as a comparative study of the two bands below and above 6 GHz. The parameters for path loss using different path loss models of single and multi-frequencies have been estimated. The excess delay, root mean square (RMS) delay spread and the power delay profile of received paths are analyzed. The results of the path loss models show that the path loss exponent (PLE) in this indoor environment is less than the free space path loss exponent for LOS scenario at both frequencies. Moreover, the PLE is not frequency dependent. The 3GPP path loss models for single and multi-frequency in LOS scenarios have good performance in terms of PLE that is as reliable as the physically-based models. Based on the proposed models, the diffraction loss at 28 GHz is approximately twice the diffraction loss at 3.5 GHz. The findings of the power delay profile and RMS delay spread indicate that these parameters are comparable for frequency bands below and above 6 GHz.

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“…Connected cars, one of the leading use case of IoT, are growing rapidly with the development of 5G technology. [4] 5G will be the backbone of IoT, overcoming all space-time constraints and providing a complete connection with all the user-centric "things". [5] The existing V2X technology is evolving into C-V2X using LTE or 5G, and vehicles are connected to external devices via IoT technologies.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Android App-Repackaging Attack on In-Vehicle Network

Lee¹,

Woo

Lee³

et al. 2019

Wireless Communications and Mobile Computing

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The convergence of automobiles and ICT (information and communication technology) has become a new paradigm for the development of next-generation vehicles. In particular, connected cars represent the most in-demand automobile-ICT convergence technology. With the development of 5G technology, communication between vehicle and external device using autonomous driving and Internet of things (IoT) technology has been remarkably developed. Control of vehicles using smart phones has become a routine feature, and over 200 Android apps are in use. However, Android apps are easy to tamper by repackaging and allowing hackers to attack vehicles with using this vulnerability, which can lead to life-critical accidents. In this study, we analyze the vulnerabilities of connected car environments when connecting with IoT technologies and demonstrate the possibility of cyberattack by performing attack experiments using real cars and repackaging for commercial apps. Furthermore, we propose a realistic security technology as a countermeasure to attain safety against cyberattacks. To evaluate the safety of the proposed method, a security module is developed and a performance evaluation is conducted on an actual vehicle.

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Joint Design of Communication and Control for Connected Cars in 5G Communication Systems

Cited by 32 publications

References 5 publications

Autonomous Path Planning for Road Vehicles in Narrow Environments: An Efficient Continuous Curvature Approach

Autonomous Path Planning for Road Vehicles in Narrow Environments: An Efficient Continuous Curvature Approach

Comparative Study of Indoor Propagation Model Below and Above 6 GHz for 5G Wireless Networks

Enhanced Android App-Repackaging Attack on In-Vehicle Network

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