Three-Dimensional Resource Allocation in D2D-Based V2V Communication

Khan, Usman Ali; Lee, Sang Sun

doi:10.3390/electronics8090962

Cited by 17 publications

(13 citation statements)

References 24 publications

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“…Based on road traffic information, the lane width in the road was 3.5 m and the distance between two consecutive vehicles at any stage followed the 2 s rule [ 30 ]. The network parameters used for simulation are listed in Table 1 [ 19 , 38 , 39 , 40 , 41 ].…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

Novel Road Traffic Management Strategy for Rapid Clarification of the Emergency Vehicle Route Based on V2V Communications

Osman

Zaki

Abdelsalam

2021

Sensors

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Vehicle-to-vehicle communication is a promising paradigm that enables all vehicles in the traffic road to communicate with each other to enhance traffic performance and increase road safety. Through vehicle-to-vehicle (V2V) communication, vehicles can understand the traffic conditions based on the information sent among vehicles on the road. Due to the potential delay caused by traffic jams, emergency vehicles may not be able to reach their destination in the required time, leading to severe losses. The case is more severe especially in developing countries where no emergency-vehicle-dedicated lanes are allocated. In this study, a new emergency vehicle route-clarifying strategy is proposed. The new clarifying strategy is based on vehicular traffic management in different interference medium scenarios. The proposed model aims, through V2V communication, to find the nearest vehicle with which to communicate. This vehicle plays an important role in reducing the travel time: as the emergency message is received, this vehicle will immediately communicate with all the neighboring vehicles on the road. Based on V2V communications, all the vehicles in the road will clear from the lane in the road for the emergency vehicle can safely reach its destination with the minimum possible travel time. The maximum distance between the emergency vehicle and the nearest vehicle was determined under different channel conditions. The proposed strategy applied an optimization technique to find the varied road traffic parameters. The proposed traffic management strategy was evaluated and examined through different assumptions and several simulation scenarios. The obtained results validated the effectiveness and the accuracy of the proposed model, and also indicated significant improvement in the network’s performance in terms of packet delivery ratio (PDR) and average end-to-end delay (E2E).

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Section: Numerical Results and Discussionmentioning

confidence: 99%

Novel Road Traffic Management Strategy for Rapid Clarification of the Emergency Vehicle Route Based on V2V Communications

Osman

Zaki

Abdelsalam

2021

Sensors

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“…Simulation results show exponential gain in

with the increase in the number of nodes, as well as a decline in performance as the vehicles’ speeds increase. The authors of [ 57 ] consider the channel allocation between CUEs, V2V, and V2I nodes (all operating within the range of a single macro BS), such that the probability of outage requirements for V2Vs and the SINR requirement of the cellular users are met, while the throughput of V2Is is maximized. Power allocation is performed separately via the Newton method.…”

Section: Graph-based Ra In D2d Networkmentioning

confidence: 99%

Graph-Based Resource Allocation for Integrated Space and Terrestrial Communications

Ivanov

Tonchev

Poulkov

et al. 2022

Sensors

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Resource allocation (RA) has always had a prominent place in wireless communications research due to its significance for network throughput maximization, and its inherent complexity. Concurrently, graph-based solutions for RA have also grown in importance, providing opportunities for higher throughput and efficiency due to their representational capabilities, as well as challenges for realizing scalable algorithms. This article presents a comprehensive review and analysis of graph-based RA methods in three major wireless network types: cellular homogeneous and heterogeneous, device-to-device, and cognitive radio networks. The main design characteristics, as well as directions for future research, are provided for each of these categories. On the basis of this review, the concept of Graph-based Resource allocation for Integrated Space and Terrestrial communications (GRIST) is proposed. It describes the inter-connectivity and coexistence of various terrestrial and non-terrestrial networks via a hypergraph and its attributes. In addition, the implementation challenges of GRIST are explained in detail. Finally, to complement GRIST, a scheme for determining the appropriate balance between different design considerations is introduced. It is described via a simplified complete graph-based design process for resource management algorithms.

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“…Most matching problems are two dimensional that employ one-to-one matching like the Hungarian algorithm used in [9]. While some authors have used three-dimensional matching for resource allocation in more complex problems [28,29]. In this paper, we have used a variant of the bipartite matching known as one-to-many bipartite matching with maximum flow.…”

Section: One-to-many Bipartite Matchingmentioning

confidence: 99%

Distance-Based Resource Allocation for Vehicle-to-Pedestrian Safety Communication

Khan

Lee

2020

Electronics

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Cellular Vehicle to Everything (V2X) has redefined the vehicular communication architecture as something that needs an ultra-reliable link, high capacity, and fast message delivery in vehicular networks. The V2X scenarios are broadly categorized as Vehicle to Vehicle (V2V), Vehicle to Infrastructure (V2I), Vehicle to Pedestrians (V2P), and Vehicle to Network (V2N). Vulnerable pedestrians belong to the V2P category and hence require an ultra-reliable link and a fast message delivery in case the moving vehicle is in the close proximity of the pedestrian. However, congestion in the network calls for an optimized resource allocation that would allow a fast and secure connection between a vehicle and the pedestrian. In this paper, we have proposed a distance-based resource allocation that classifies the pedestrians in different categories, performs a one-to-many weighted bipartite matching, and finally a reinforcement learning based power allocation.

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Three-Dimensional Resource Allocation in D2D-Based V2V Communication

Cited by 17 publications

References 24 publications

Novel Road Traffic Management Strategy for Rapid Clarification of the Emergency Vehicle Route Based on V2V Communications

Novel Road Traffic Management Strategy for Rapid Clarification of the Emergency Vehicle Route Based on V2V Communications

Graph-Based Resource Allocation for Integrated Space and Terrestrial Communications

Distance-Based Resource Allocation for Vehicle-to-Pedestrian Safety Communication

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