Comparative Study of Vehicular Proactive Caching Between Cellular and VLC Networks

Gad, Mohamed E.; Ismail, Tawfik; Hosny, Sameh; Mokhtar, Bassem

doi:10.1109/icces51560.2020.9334556

Cited by 1 publication

(2 citation statements)

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“…The results showed that the topology control algorithm significantly reduced power consumption and interference among links while maintaining delay-limited connectivity. In [28], a proactive caching algorithm that uses the VLC system is proposed in VANET to increase the caching gain, reduce the blocking probability and improve the network throughput. The results have shown that the VLC system yields significant performance.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In case this content does not cache, vehicle will receive data from RLU or the MBS via the RF link based on RLU connectivity by τ l`τ , τ b "τ b`τ respectively and the total delay time in backhaul network is presented as τ . Where α l is the data rate of the VLC link in Mbps, and α b is the data rate of the RF link in Mbps as presented in [28]. Accordingly, the expected retrieval time can be formulated aŝ…”

Section: B Vehicular Proactive Caching Via Rlumentioning

confidence: 99%

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Integrated VLC/RF Wireless Technologies for Reliable Content Caching System in Vehicular Networks

2021

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In a vehicular communications environment, the need for information sharing, entertainment, and multimedia will increase, leading to congestion of backhaul networks. The major challenge of this network is latency and resource limitations. Proactive caching can be obtained from local caches rather than from remote servers, which can avoid long delays resulting from limited backhaul capacity and resources. Therefore, proactive caching reduces latency and improves the quality of services. Determining which files should be cached in memory is a critical issue. The paper proposes various placement schemes for caching at the vehicle and mobile base station (MBS) layers. The optimal caching place represents better user demand and latency based on the demand and mobility model. Non-cooperative and cooperative vehicles with vehicle-to-vehicle communication (V2V) are included. In both models, the high data rate of visible light communication (VLC) in the vehicular networks tends to enhance the caching capability. We also illustrate a sub-optimal algorithm to solve optimization problems compared to the optimal brute force solver and the sub-optimal genetic algorithm. Numerical results show that proactive caching schemes have a significant gain in system performance. The analysis shows that VLC improves proactive caching performance when there are less than 25 vehicles. The joint proactive caching scheme works better as the number of vehicles increases. The V2V proactive caching is useful when vehicles per platoon are ě 10 INDEX TERMS 6G, Proactive caching, vehicular networks, visible light communication (VLC), radio frequancy (RF), vehicle-to-vehicle communication (V2V), and cooperative and non-cooperative vehicles.

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Section: Literature Reviewmentioning

confidence: 99%

Section: B Vehicular Proactive Caching Via Rlumentioning

confidence: 99%