TY - JOUR
T1 - Double Auction Mechanism Design for Video Caching in Heterogeneous Ultra-Dense Networks
AU - Du, Jun
AU - Jiang, Chunxiao
AU - Gelenbe, Erol
AU - Zhang, Haijun
AU - Ren, Yong
AU - Quek, Tony Q.S.
N1 - Funding Information:
Manuscript received April 23, 2018; revised November 6, 2018; accepted January 7, 2019. Date of publication February 1, 2019; date of current version March 11, 2019. This work was supported in part by the National Natural Science Foundation China under Project 61371079, Project 61571300, Project 61271267, Project 91338203, Project 61428101, Project 61822104, and Project 61771044, in part by the China Postdoctoral Science Foundation under Grant 2018M640130, in part by the New Strategic Industries Development Projects of Shenzhen City (JCYJ20170816151922176), in part by the Ministry of Education (MOE), Academic Research Fund Tier 2 under Grant MOE2015-T2-2-104, in part by the Singapore University of Technology and Design-Zhejiang University (SUTDZJU) Research Collaboration under Grant SUTD-ZJU/RES/01/2016, in part by the Young Elite Scientist Sponsorship Programs by China Academy of Space Technology, and in part by the Research Foundation of Ministry of Education of China and China Mobile under Grant MCM20170108. The associate editor coordinating the review of this paper and approving it for publication was S. Dey. (Corresponding author: Chunxiao Jiang.) J. Du and Y. Ren are with the Department of Electronic Engineering, Tsinghua University, Beijing 100084, China (e-mail: blgdujun@gmail.com; reny@tsinghua.edu.cn).
PY - 2019/3
Y1 - 2019/3
N2 - Recently, wireless streaming of on-demand videos of mobile users (MUs) has become the major form of data traffic over cellular networks. As a response, caching popular videos in the storage of small base stations (SBSs) has been regarded as an efficient approach to reduce the transmission latency and alleviate the data traffic loaded over backhaul channels. This paper considers a small-cell based caching market composed of one mobile network operator (MNO) and multiple video service providers (VSPs). In this system, the MNO manages and operates its SBSs, and assigns these SBSs' storage to different VSPs, who have caching requirements. However, videos have different popularities and MUs present different preferences to these VSPs when they request videos. In addition, the caching service brings different utilities to different VSPs as well as that providing caching service to different VSPs causes distinct costs to the MNO. Such privacy information cannot be aware of among VSPs and the MNO. Therefore, to elicit this hidden information, this paper designs a double auction-based caching mechanism, which ensures the efficient operation of the market by maximizing the social welfare, i.e., the gap between VSPs' caching utilities and MNO's caching costs. Moreover, this paper demonstrates the economic properties of the designed caching mechanism, which are also validated by the simulation results.
AB - Recently, wireless streaming of on-demand videos of mobile users (MUs) has become the major form of data traffic over cellular networks. As a response, caching popular videos in the storage of small base stations (SBSs) has been regarded as an efficient approach to reduce the transmission latency and alleviate the data traffic loaded over backhaul channels. This paper considers a small-cell based caching market composed of one mobile network operator (MNO) and multiple video service providers (VSPs). In this system, the MNO manages and operates its SBSs, and assigns these SBSs' storage to different VSPs, who have caching requirements. However, videos have different popularities and MUs present different preferences to these VSPs when they request videos. In addition, the caching service brings different utilities to different VSPs as well as that providing caching service to different VSPs causes distinct costs to the MNO. Such privacy information cannot be aware of among VSPs and the MNO. Therefore, to elicit this hidden information, this paper designs a double auction-based caching mechanism, which ensures the efficient operation of the market by maximizing the social welfare, i.e., the gap between VSPs' caching utilities and MNO's caching costs. Moreover, this paper demonstrates the economic properties of the designed caching mechanism, which are also validated by the simulation results.
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U2 - 10.1109/TWC.2019.2895076
DO - 10.1109/TWC.2019.2895076
M3 - Article
AN - SCOPUS:85063014154
VL - 18
SP - 1669
EP - 1683
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
SN - 1536-1276
IS - 3
M1 - 8632730
ER -