TY - GEN
T1 - Comparative Study of Vehicular Proactive Caching between Cellular and VLC Networks
AU - Gad, Mohamed E.
AU - Ismail, Tawfik
AU - Hosny, Sameh
AU - Mokhtar, Bassem
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12/15
Y1 - 2020/12/15
N2 - The rapid growth of vehicle demand, such as information sharing, entertainment, and multimedia contents, overwhelms the back-haul network. Due to this nature of the network that suffers from high link disconnections and limited resources, it is challenging to develop a new strategy to satisfy users' requirements. Proactive caching is a useful technique to mitigate the load on core networks, and determining the best caching placement of data time to enhance the network is a significant issue. However, radiofrequency is spreading and supporting multiple channels communication, and has a licensed bandwidth and low data rates. In this paper, a novel proactive caching scheme based on an optical communication system is proposed. We exploit the high data rate of visible light communication VLC in the vehicular networks to minimize total network cost. The optimal caching placement is determined by solving the optimization problem through a genetic algorithm according to vehicle demand profiles. Also, we present suitable analysis for caching effects in average blocking and data throughput. Compared with radio techniques, numerical results illustrate that the proposed solution has a significant caching gain, average user blocking, and network throughput at different conditions.
AB - The rapid growth of vehicle demand, such as information sharing, entertainment, and multimedia contents, overwhelms the back-haul network. Due to this nature of the network that suffers from high link disconnections and limited resources, it is challenging to develop a new strategy to satisfy users' requirements. Proactive caching is a useful technique to mitigate the load on core networks, and determining the best caching placement of data time to enhance the network is a significant issue. However, radiofrequency is spreading and supporting multiple channels communication, and has a licensed bandwidth and low data rates. In this paper, a novel proactive caching scheme based on an optical communication system is proposed. We exploit the high data rate of visible light communication VLC in the vehicular networks to minimize total network cost. The optimal caching placement is determined by solving the optimization problem through a genetic algorithm according to vehicle demand profiles. Also, we present suitable analysis for caching effects in average blocking and data throughput. Compared with radio techniques, numerical results illustrate that the proposed solution has a significant caching gain, average user blocking, and network throughput at different conditions.
KW - Mobility
KW - Proactive caching
KW - vehicle-to-Infrastructure caching
KW - Vehicular network
KW - Visible light communications
UR - http://www.scopus.com/inward/record.url?scp=85100835298&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85100835298&partnerID=8YFLogxK
U2 - 10.1109/ICCES51560.2020.9334556
DO - 10.1109/ICCES51560.2020.9334556
M3 - Conference contribution
AN - SCOPUS:85100835298
T3 - Proceedings of ICCES 2020 - 2020 15th International Conference on Computer Engineering and Systems
BT - Proceedings of ICCES 2020 - 2020 15th International Conference on Computer Engineering and Systems
A2 - Salem, Ashraf
A2 - El-Kharashi, M. Watheq
A2 - Bahaa El-Din, Ayman M.
A2 - Taher, Mohammed
A2 - Abdelmunim, Hossam
A2 - Salama, Cherif
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Conference on Computer Engineering and Systems, ICCES 2020
Y2 - 15 December 2020 through 16 December 2020
ER -
