TY - GEN
T1 - Double auction based resource allocation for secure video caching in heterogeneous networks
AU - Du, Jun
AU - Jiang, Chunxiao
AU - Zhang, Haijun
AU - Ren, Yong
AU - Quek, Tony Q.S.
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by the China Postdoctoral Science Foundation (2018M640130), the NSFC China (91338203), and the Pre-research Fund of Equipments of Ministry of Education of China (6141A02022615).
PY - 2019/6
Y1 - 2019/6
N2 - Recently, caching techniques have been regarded as efficient approaches to alleviate the data traffic loaded over backhaul channels, which can reduce the transmission delay and improve the quality and experience of video services. This work investigates a small-cell based caching system composed of one mobile network operator (MNO) and multiple video service providers (VSPs). In this system, different VSPs have their caching requirements, and the MNO, who manages and operates its small base stations (SBSs), will assign these SBSs' storage to VSPs for placing videos. Considering different video popularities and MUs' preferences of VSPs, the caching service brings different utilities to VSPs, as well as that providing caching service to different VSPs causes distinct costs to the MNO. However, such privacy information of utility and cost cannot be aware of among VSPs and the MNO. In addition, malicious VSPs may break the fairness of caching systems by requesting undeserved caching resource. Concerning these problems above, this paper designs a secure caching mechanism based on double auction, which can encourage both the MNO and VSPs to truthfully report their acceptances and requirements of caching resource, respectively. Moreover, the proposed caching mechanism ensures the efficient operation of market by maximizing the social welfare. The performance and economic properties of the designed caching mechanism are validated with simulation results.
AB - Recently, caching techniques have been regarded as efficient approaches to alleviate the data traffic loaded over backhaul channels, which can reduce the transmission delay and improve the quality and experience of video services. This work investigates a small-cell based caching system composed of one mobile network operator (MNO) and multiple video service providers (VSPs). In this system, different VSPs have their caching requirements, and the MNO, who manages and operates its small base stations (SBSs), will assign these SBSs' storage to VSPs for placing videos. Considering different video popularities and MUs' preferences of VSPs, the caching service brings different utilities to VSPs, as well as that providing caching service to different VSPs causes distinct costs to the MNO. However, such privacy information of utility and cost cannot be aware of among VSPs and the MNO. In addition, malicious VSPs may break the fairness of caching systems by requesting undeserved caching resource. Concerning these problems above, this paper designs a secure caching mechanism based on double auction, which can encourage both the MNO and VSPs to truthfully report their acceptances and requirements of caching resource, respectively. Moreover, the proposed caching mechanism ensures the efficient operation of market by maximizing the social welfare. The performance and economic properties of the designed caching mechanism are validated with simulation results.
UR - http://www.scopus.com/inward/record.url?scp=85073912422&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85073912422&partnerID=8YFLogxK
U2 - 10.1109/IWCMC.2019.8766617
DO - 10.1109/IWCMC.2019.8766617
M3 - Conference contribution
AN - SCOPUS:85073912422
T3 - 2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019
SP - 936
EP - 941
BT - 2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2019
Y2 - 24 June 2019 through 28 June 2019
ER -