TY - GEN
T1 - Quality-Aware Caching, Computing and Communication Design for Video Delivery in Vehicular Networks
AU - Kuo, Ting Yen
AU - Lee, Ming Chun
AU - Lee, Ta Sung
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - To satisfy the increasing demands of wireless traffic in vehicular networks, how to significantly improve vehicular networks becomes a critical issue. Motivated by the potential benefits of jointly using edge-computing and edge-caching in vehicular networks, this paper considers investigating the quality-aware caching, computing and communication (3C) optimization for video delivery in vehicular networks. By incorporating the quality-awareness with 3C models, we formulate a quality-aware joint 3C optimization problem. Then, by considering the practice that the caches might be pre-determined along with the formulated 3C problem, we obtain the quality-aware joint 2C optimization problem with caching. We propose effective approaches to solve these two problems. Simulation results show that our proposed approaches can outperform the reference schemes significantly.
AB - To satisfy the increasing demands of wireless traffic in vehicular networks, how to significantly improve vehicular networks becomes a critical issue. Motivated by the potential benefits of jointly using edge-computing and edge-caching in vehicular networks, this paper considers investigating the quality-aware caching, computing and communication (3C) optimization for video delivery in vehicular networks. By incorporating the quality-awareness with 3C models, we formulate a quality-aware joint 3C optimization problem. Then, by considering the practice that the caches might be pre-determined along with the formulated 3C problem, we obtain the quality-aware joint 2C optimization problem with caching. We propose effective approaches to solve these two problems. Simulation results show that our proposed approaches can outperform the reference schemes significantly.
UR - http://www.scopus.com/inward/record.url?scp=85137274535&partnerID=8YFLogxK
U2 - 10.1109/ICC45855.2022.9838410
DO - 10.1109/ICC45855.2022.9838410
M3 - Conference contribution
AN - SCOPUS:85137274535
T3 - IEEE International Conference on Communications
SP - 261
EP - 266
BT - ICC 2022 - IEEE International Conference on Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Communications, ICC 2022
Y2 - 16 May 2022 through 20 May 2022
ER -