TY - GEN
T1 - A Switch to the Concern of User
T2 - 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
AU - Liu, Shanyun
AU - She, Rui
AU - Wan, Shuo
AU - Fan, Pingyi
AU - Dong, Yunquan
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/28
Y1 - 2018/8/28
N2 - This paper mainly focuses on the utilization frequency in receiving end of communication systems, which shows the inclination of the user about different symbols. When the using number is limited, a specific utility distribution is proposed on the best effort in term of fairness, which is also the closest one to occurring probability in the relative entropy. Similar to a switch, the parameter of this special utility distribution can be selected to make it satisfy the personalized user demands: negative parameter means the user focus on high-probability events and positive parameter means the user is interested in small-probability events. In fact, the utility distribution can be regraded as a measure of message importance in essence. It illustrates the meaning of message importance measure (MIM), and extend it to the general case by selecting the parameter. Based on it, we connect personalized user demands to the message importance. Numerical results show that this utility distribution characterizes the message importance like MIM and its parameter determines the concern of users like a switch.
AB - This paper mainly focuses on the utilization frequency in receiving end of communication systems, which shows the inclination of the user about different symbols. When the using number is limited, a specific utility distribution is proposed on the best effort in term of fairness, which is also the closest one to occurring probability in the relative entropy. Similar to a switch, the parameter of this special utility distribution can be selected to make it satisfy the personalized user demands: negative parameter means the user focus on high-probability events and positive parameter means the user is interested in small-probability events. In fact, the utility distribution can be regraded as a measure of message importance in essence. It illustrates the meaning of message importance measure (MIM), and extend it to the general case by selecting the parameter. Based on it, we connect personalized user demands to the message importance. Numerical results show that this utility distribution characterizes the message importance like MIM and its parameter determines the concern of users like a switch.
KW - Importance coefficient
KW - Information theory
KW - Large deviation theory
KW - Message importance measure
KW - Utility distribution
UR - https://www.scopus.com/pages/publications/85053885830
U2 - 10.1109/IWCMC.2018.8450338
DO - 10.1109/IWCMC.2018.8450338
M3 - 会议稿件
AN - SCOPUS:85053885830
SN - 9781538620700
T3 - 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
SP - 1362
EP - 1367
BT - 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 25 June 2018 through 29 June 2018
ER -