TY - GEN
T1 - User cooperation mechanism for temporal traffic smoothing in mobile networks
AU - Tanaka, Yusuke
AU - Shinkuma, Ryoichi
AU - Takahashi, Eiji
AU - Onishi, Takeo
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/21
Y1 - 2016/11/21
N2 - With the recent spread of mobile devices like smart phones and tablets, the proportion of mobile traffic in the total Internet traffic has been continuously increasing. Particularly, the utility of users, which is a quality metric of user experience in the service, decreases when a lot of mobile traffic concentrates at a wireless access network at a specific time. Therefore, in this study, we instruct users to delay their traffic to move a part of traffic in the peak time to the off-peak time and to smooth traffic temporally. However, since users do not always follow the instructing message from the communication system, we consider the response of users according to their utility in this study. We also consider two types of user models: Learning and non-learning. The former considers past experienced utility, while the latter only considers the current utility without considering their past experience. In this paper, we assume both models and will verify our system works well.
AB - With the recent spread of mobile devices like smart phones and tablets, the proportion of mobile traffic in the total Internet traffic has been continuously increasing. Particularly, the utility of users, which is a quality metric of user experience in the service, decreases when a lot of mobile traffic concentrates at a wireless access network at a specific time. Therefore, in this study, we instruct users to delay their traffic to move a part of traffic in the peak time to the off-peak time and to smooth traffic temporally. However, since users do not always follow the instructing message from the communication system, we consider the response of users according to their utility in this study. We also consider two types of user models: Learning and non-learning. The former considers past experienced utility, while the latter only considers the current utility without considering their past experience. In this paper, we assume both models and will verify our system works well.
KW - temporal traffic smoothing
KW - user control
KW - user response
KW - utility
UR - http://www.scopus.com/inward/record.url?scp=85006839981&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85006839981&partnerID=8YFLogxK
U2 - 10.1109/NETWKS.2016.7751180
DO - 10.1109/NETWKS.2016.7751180
M3 - Conference contribution
AN - SCOPUS:85006839981
T3 - 2016 17th International Telecommunications Network Strategy and Planning Symposium, Networks 2016 - Conference Proceedings
SP - 227
EP - 232
BT - 2016 17th International Telecommunications Network Strategy and Planning Symposium, Networks 2016 - Conference Proceedings
A2 - Gregoire, Jean-Charles
A2 - Dziong, Zbigniew
A2 - Rak, Jacek
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th International Telecommunications Network Strategy and Planning Symposium, Networks 2016
Y2 - 26 September 2016 through 28 September 2016
ER -