In recent years, wireless communication demands from high-speed vehicles rapidly increase, due to the enrichment of various vehicular applications. Such high demands result in a compelling burden on the supporting infrastructure in vehicular networks, which in turn deteriorate the quality of experience (QoE) of vehicular users. In-device caching/storage has been attracting increasing research interests, which can significantly alleviate the burden of the wireless infrastructure and enhance the network throughput via spatial frequency reuse. However, its realization in vehicular scenarios is significantly hindered by the high mobility of vehicles. To cope with such issue, we propose a relay-and-repair based in-vehicle storage (R2 IVS) system with two storage maintaining mechanisms, namely the storage relay and the storage repair, to account for the vehicle mobility and vehicle-to-vehicle (V2V) communications vulnerability. The proposed R2 IVS scheme is evaluated in a general vehicular network setting based on a microscopic stochastic vehicle mobility model combined with the classic Markov chain model of IEEE 802.11p media access control (MAC) function. Theoretical analysis and simulation results demonstrate the superiority of our proposed R2 IVS system compared with the one directly fetching contents from wireless infrastructure.
|Original language||English (US)|
|Title of host publication||2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - 2018|
|Event||2018 IEEE Global Communications Conference, GLOBECOM 2018 - Abu Dhabi, United Arab Emirates|
Duration: Dec 9 2018 → Dec 13 2018
|Name||2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings|
|Conference||2018 IEEE Global Communications Conference, GLOBECOM 2018|
|Country/Territory||United Arab Emirates|
|Period||12/9/18 → 12/13/18|
Bibliographical noteFunding Information:
This work was supported by the National Natural Science Foundation of China under Grants 61622101 and 61571020 and the open research fund of Key Laboratory of Wireless Sensor Network & Communication under Grant 2017003, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences.
© 2018 IEEE.