Resource Allocation for Relay-Assisted D2D Communications with Network Coding

Huang, Wenhuan; Chen, Ming; Yang, Zhaohui; Huang, Nuo; Pei, Lu

doi:10.1109/vtcfall.2018.8690758

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…Machine learning, being the current hot topic in this domain; centralized vs. distributed reinforcement learning, multi-agent deep reinforcement learning [34], and other methods that could provide a faster convergence with better performance than traditional methods. Relay-assisted [35], out-of-coverage scenarios [36] and energy efficient resource allocation [37] is currently being researched upon. Resource allocation in UAV-enabled vehicular communication is another new area of research being investigated for emergency coverage [38].…”

Section: Discussion and Future Workmentioning

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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Section: Discussion and Future Workmentioning

confidence: 99%

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

Khan

Lee

2020

Electronics

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Network Coding forD2D

Cai

2020

Wiley 5G Ref

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For cellular downlink transmissions, we propose an approach leveraging cooperative device‐to‐device (D2D) communications and network coding (NC), which can substantially reduce the cellular resource consumption and the total energy consumption. In the proposed approach, the base station generates and broadcasts linear combinations based on the packets requested by different user equipments (UEs) until at least one UE can recover all the original packets, called mature UE. Then, a selected mature UE broadcasts new linear combinations based on the recovered original packets to neighbors via D2D until all UEs can decode their packets. A semi‐centralized cooperative control method is proposed for cellular uplink transmissions, where UE relays are randomly selected according to a certain density decided by the base station. Two specific cooperative approaches, i.e. the random UE relay approach and the NC approach, are proposed for D2D communications.

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Resource Allocation for Relay-Assisted D2D Communications with Network Coding

Cited by 2 publications

References 11 publications

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

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

Network Coding forD2D

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