MHAV: Multitier Heterogeneous Adaptive Vehicular Network with LTE and DSRC

Ansari, Shuja; Boutaleb, Tuleen; Sinanović, Sinan; Gamio, Carlos; Krikidis, Ioannis

doi:10.1016/j.icte.2017.11.004

Cited by 14 publications

(11 citation statements)

References 10 publications

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“…The study presented an enhanced protocol stack and also conceived the communication messages indispensable for supporting autonomous driving vehicles. Furthermore, a multi-tier heterogeneous adaptive vehicular networking architecture so as to ensure reliability and low latency for safety-critical message dissemination in a vehicular networking environment has been presented in [31]. The said architecture integrates LTE and DSRC technologies for balancing the network traffic via offloading the packet forwarding from the cellular networks.…”

Section: The State-of-the-art In Intelligent Transportation Systems: mentioning

confidence: 99%

Software-Defined Heterogeneous Vehicular Networking: The Architectural Design and Open Challenges

2019

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The promising advancements in the telecommunications and automotive sectors over the years have empowered drivers with highly innovative communication and sensing capabilities, in turn paving the way for the next-generation connected and autonomous vehicles. Today, vehicles communicate wirelessly with other vehicles and vulnerable pedestrians in their immediate vicinity to share timely safety-critical information primarily for collision mitigation. Furthermore, vehicles connect with the traffic management entities via their supporting network infrastructure to become more aware of any potential hazards on the roads and for guidance pertinent to their current and anticipated speeds and travelling course to ensure more efficient traffic flows. Therefore, a secure and low-latency communication is highly indispensable in order to meet the stringent performance requirements of such safety-critical vehicular applications. However, the heterogeneity of diverse radio access technologies and inflexibility in their deployment results in network fragmentation and inefficient resource utilization, and these, therefore, act as bottlenecks in realizing the aims for a highly efficient vehicular networking architecture. In order to overcome such sorts of bottlenecks, this article brings forth the current state-of-the-art in the context of intelligent transportation systems (ITS) and subsequently proposes a software-defined heterogeneous vehicular networking (SDHVNet) architecture for ensuring a highly agile networking infrastructure to ensure rapid network innovation on-demand. Finally, a number of potential architectural challenges and their probable solutions are discussed.

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Section: The State-of-the-art In Intelligent Transportation Systems: mentioning

confidence: 99%

Software-Defined Heterogeneous Vehicular Networking: The Architectural Design and Open Challenges

2019

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“…An area of 200 × 200 m 2 is first modeled with 10 vehicles, then the network is scaled with a linear scale factor (SF) of 2 and 3 to areas of 400×400 m 2 and 600×600 m 2 with 40 and 90 vehicles respectively. Simulation performance results for previously used 2 × 2 km 2 model with 200 vehicles (50 vehicles/km 2 ) [18] suggest that provided the LTE network coverage is the same as 600 × 600 m 2 area, performance of 250 vehicles/km 2 can be evaluated in an area of 2×2 km 2 considering the performance degradation observed in the scaled areas. LTN velocity is set to 30 mph while the HTNs are assumed to be moving at 20 mph, according to the city speed limits enforced in Glasgow city center.…”

Section: System Modelmentioning

confidence: 99%

“…Many advantages such as their tall structure exhibiting higher transmission range, covering most parts of urban areas, no requirement of privacy mechanisms and avoiding the cost of installing a new infrastructure, make public buses a good substitute for fixed base stations. This paper builds upon our previous work that proposes a multitier framework [18], where authority owned or public transport are high tier nodes (HTN) acting as MGs, incorporating message dissemination scheme proposed in [19] with a fallback mechanism and MG registration technique proposed in [20].…”

Section: Introductionmentioning

confidence: 99%

On the Design and Deployment of Multitier Heterogeneous and Adaptive Vehicular Networks

Ansari

Boutaleb

Sinanović

et al. 2018

2018 11th International Symposium on Communication Systems, Networks &Amp; Digital Signal Processing (CSNDSP)

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Research on connected and autonomous vehicles (CAVs) is moving towards first deployments around the world. For complete vehicle autonomy, on top of sensors there is a need for an effective communication system. Due to the critical safety, transmission requirements for these communications are stringent. In an urban environment, with high density of vehicles, standardized dedicated short range communications (DSRC) solely does not perform well. Avoiding costs for new DSRC infrastructure, heterogeneous networks integrating long term evolution (4G-LTE mobile network) and DSRC have shown promising results. With the ever increasing number of vehicles, an optimal integration is required in order to balance the capacity load on the two networks. This paper proposes a systematic approach to designing multitier heterogeneous adaptive vehicular (MHAV) networks. With extensive system level simulations modeling Glasgow city center, incorporating proposed algorithms, scaling of the network along with load balancing between LTE and DSRC have been investigated in this paper. With the design criteria proposed for MHAV, results show that under realistic conditions the probability of end-to-end communication delay to be less than 50 ms is above 90% for a density of 250 vehicles/km 2 .

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“…MIMO system has been proposed with DSRC and LTE in (Ning et al, 2018;Ning et al, 2017a;Rezwan et al, 2018;Wang et al, 2018) and proved some improvement in BER and throughput performance. By using MIMO, existing wireless technology can exploit space, time, and frequency domains, with space-timefrequency block codes (STFBC) being a popular choice (Ansari et al, 2017). STFBC is used to aid the MIMO system by adding time to the space and frequency dimensions (Ning et al, 2017b;Xu et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Space-Time Frequency Block Codes in LTE-DSRC Hybrid Vehicular Networks

Aziz¹,

Mohamad²,

Mahmud³

et al. 2022

IJTech

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In vehicular communication systems, Dedicated Short Range Communication (DSRC) is said to provide fast communication and high security between vehicles. Simultaneously, Long-Term Evolution (LTE) is used due to its high bandwidth, low latency, and high spectrum efficiency. The DSRC and LTE hybrid model has gained much attention as it is feasible and simpler in design and deployment. In fact, multiple-input multiple-output (MIMO) systems have been widely used in modern wireless communication systems to enhance data throughput, reliability, and coverage. This paper proposes a MIMO LTE-DSRC hybrid system using space-time frequency block codes (STFBC). This paper focuses on the physical layer performance of the LTE-DSRC hybrid uplink structure. The DSRC Orthogonal Frequency Division Multiplexing (OFDM) transmitter and LTE Single Carrier Frequency Division Multiplexing (SCFDM) receiver are used for the uplink transmission. A study on bit error rate (BER), pairwise error probability (PEP), and channel-tointerference ratio (CIR) of the 2x2 MIMO LTE-DSRC system is conducted. The numerical results show that this proposed method improves the error rate performance with a gradual increase in signal-to-noise ratio (SNR) compared to the baseline systems.

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MHAV: Multitier Heterogeneous Adaptive Vehicular Network with LTE and DSRC

Cited by 14 publications

References 10 publications

Software-Defined Heterogeneous Vehicular Networking: The Architectural Design and Open Challenges

Software-Defined Heterogeneous Vehicular Networking: The Architectural Design and Open Challenges

On the Design and Deployment of Multitier Heterogeneous and Adaptive Vehicular Networks

Space-Time Frequency Block Codes in LTE-DSRC Hybrid Vehicular Networks

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