TY - JOUR
T1 - User instruction mechanism for temporal traffic smoothing in mobile networks
AU - Shinkuma, Ryoichi
AU - Tanaka, Yusuke
AU - Yamada, Yoshinobu
AU - Takahashi, Eiji
AU - Onishi, Takeo
N1 - Funding Information:
This paper tackled the problem of temporal traffic smoothing in mobile environments. To solve the problem, we proposed a system that when it detects overloaded traffic, it sends users an instructing message to request them to delay their communication requests to off-peak time. We showed the system model and the control procedure of the proposed mechanism. Our proposed system estimates the user response ratio from the past records because users do not always delay their communication requests as instructed. We also discussed the decision-making model of users, which includes the utility function with the myopic or long-term view model and the selection model. The simulation study using a real traffic measurement dataset validated that our method smooths traffic well without decreasing user satisfaction, which was confirmed for a wide range of system conditions, including different daily traffic patterns and user characteristics. Future work will include the design and evaluation of the proposed system with considering the movements of users to and from the base station area. Another remaining issue is how the types of applications affect users’ behaviors in our mechanism. Ryoichi Shinkuma received the B.E., M.E., and Ph.D. degrees in Communications Engineering from Osaka University, Japan, in 2000, 2001, and 2003, respectively. In 2003, he joined the faculty of Communications and Computer Engineering, Graduate School of Informatics, Kyoto University, Japan, where he is currently an Associate Professor. He was a Visiting Scholar at Wireless Information Network Laboratory (WINLAB), Rutgers, the State University of New Jersey, USA, from 2008 Fall to 2009 Fall. His research interests include network design and control criteria, particularly inspired by economic and social aspects. He received the Young Researchers’ Award from IEICE in 2006 and the Young Scientist Award from Ericsson Japan in 2007, respectively. He also received the TELECOM System Technology Award from the Telecommunications Advancement Foundation in 2016. He has been the chairperson in the Mobile Network and Applications (MoNA) Technical Committee of IEICE Communications Society since June 2017. He is a member of IEEE. Yusuke Tanaka received the B.E. degree in Electrical and Electronic Engineering and the M.E. degree in Communications and Computer Engineering, Graduate School of Informatics, from Kyoto University, Kyoto, Japan, in 2015 and in 2017, respectively. His research interest was in traffic control in mobile networks. Yoshinobu Yamada received the B.E. degree in Electrical and Electronic Engineering from Kyoto University, Kyoto, Japan, in 2017. He is a master course student of Communications and Computer Engineering, Graduate School of Informatics, Kyoto University. His research interest was in traffic control in mobile networks. Eiji Takahashi received his B.E. and M.E. degrees in electrical engineering from Waseda University in 1998 and 2000, respectively. He received his Dr. of Sci. in global information and telecommunication studies from Waseda University in 2003. He was a research associate at Global Information and Telecommunication Institute, Waseda University from 2000 to 2004, and a research fellow at Telecommunications Advancement Organization of Japan from 1998 to 2003. He was also a visiting industrial fellow at University of California at Berkeley from 2009 to 2010. He is a researcher at NEC since 2004. His research interests include mobile traffic measurement and optimization. He received the IEICE Young Researchers Award in 2001, TAF Telecom System Technical Premium Award in 2006, and IEEE CCNC 2017 Best Paper Award in 2017. Takeo Onishi received his B.Sc., M.Sc., and Dr. of Sci. degrees from the University of Tokyo in 2002, 2004, and 2008, respectively. He is a researcher at NEC since 2008. His research interests include mobile traffic measurement and optimization.
Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2018/6/4
Y1 - 2018/6/4
N2 - With the recent spread of mobile devices like smartphones and tablets, the proportion of mobile device traffic as part of the total Internet traffic has been continuously increasing. Particularly, when a lot of mobile device traffic is concentrated in a wireless access network at a specific time, user throughputs drastically decrease, which results in the deterioration of communication quality. To solve this problem, temporal traffic offloading, which smooths traffic by moving peak traffic to off-peak time, has been proposed. However, since the conventional approaches were designed from the viewpoint of the operator, user satisfaction might not be improved even if traffic is smoothed. Therefore, in this paper, we propose a new mechanism that instructs users to delay their traffic to move part of the peak-time traffic to off-peak time to smooth traffic temporally. Our mechanism allows the user to decide whether to follow the instruction without forcing her or him to delay their requests so that her or his satisfaction is ensured. Our simulation study using a real traffic measurement dataset validates our mechanism in terms of traffic smoothing and user satisfaction.
AB - With the recent spread of mobile devices like smartphones and tablets, the proportion of mobile device traffic as part of the total Internet traffic has been continuously increasing. Particularly, when a lot of mobile device traffic is concentrated in a wireless access network at a specific time, user throughputs drastically decrease, which results in the deterioration of communication quality. To solve this problem, temporal traffic offloading, which smooths traffic by moving peak traffic to off-peak time, has been proposed. However, since the conventional approaches were designed from the viewpoint of the operator, user satisfaction might not be improved even if traffic is smoothed. Therefore, in this paper, we propose a new mechanism that instructs users to delay their traffic to move part of the peak-time traffic to off-peak time to smooth traffic temporally. Our mechanism allows the user to decide whether to follow the instruction without forcing her or him to delay their requests so that her or his satisfaction is ensured. Our simulation study using a real traffic measurement dataset validates our mechanism in terms of traffic smoothing and user satisfaction.
KW - Temporal traffic smoothing
KW - User control
KW - User response
KW - Utility
UR - http://www.scopus.com/inward/record.url?scp=85044759560&partnerID=8YFLogxK
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U2 - 10.1016/j.comnet.2018.03.008
DO - 10.1016/j.comnet.2018.03.008
M3 - Review article
AN - SCOPUS:85044759560
SN - 1389-1286
VL - 137
SP - 17
EP - 26
JO - Computer Networks
JF - Computer Networks
ER -