TY - GEN
T1 - Efficient Multi-Radio Selections for Device-to-Device in Wireless Cellular Networks
AU - Chiu, Te Chuan
AU - Yu, Ya Ju
AU - Chou, Shih Fan
AU - Tsai, Yu Ting
AU - Pang, Ai Chun
N1 - Funding Information:
This work was supported in part by Excellent Research Projects of National Taiwan University under Grant 105R89082B, by Ministry of Science and Technology under Grant 105-2221-E-002-144-MY3, Information and Communications Research Laboratories of the Industrial Technology Research Institute (ICL/ITRI) and Institute for Information Industry (III).
Publisher Copyright:
© 2016 IEEE.
PY - 2017/2/16
Y1 - 2017/2/16
N2 - Recently, Cisco has predicted that there will be an explosive growth of the mobile data traffic such that video streaming will account for nearly 70% total demand. To foresee such heavy burden in each eNB, Device-to-Device (D2D) technology is a promising solution to do data offloading while maintain acceptable service quality. In this paper, we first target on two different D2D interfaces, Wi-Fi and LTE direct, and propose an efficient multi-radio selection scheme by dynamic programming design approach for video streaming in wireless cellular networks. To minimize total LTE radio resource usage, we leverage D2D technology and adaptively select the different transmission links to meet QoS requirement of each user. Since the data rate of Wi-Fi transmission link is hard to correctly evaluate, we conduct a series of experiments under realistic interference environment to measure the actual capacity of Wi-Fi transmission links. Besides, we also study related works about general capacity predict model to take both measurement and mathematical model into consideration for designing our solution. The simulation results show that the proposed scheme can significantly reduce the LTE radio resource usage and successfully do data offloading for each eNB in wireless cellular networks.
AB - Recently, Cisco has predicted that there will be an explosive growth of the mobile data traffic such that video streaming will account for nearly 70% total demand. To foresee such heavy burden in each eNB, Device-to-Device (D2D) technology is a promising solution to do data offloading while maintain acceptable service quality. In this paper, we first target on two different D2D interfaces, Wi-Fi and LTE direct, and propose an efficient multi-radio selection scheme by dynamic programming design approach for video streaming in wireless cellular networks. To minimize total LTE radio resource usage, we leverage D2D technology and adaptively select the different transmission links to meet QoS requirement of each user. Since the data rate of Wi-Fi transmission link is hard to correctly evaluate, we conduct a series of experiments under realistic interference environment to measure the actual capacity of Wi-Fi transmission links. Besides, we also study related works about general capacity predict model to take both measurement and mathematical model into consideration for designing our solution. The simulation results show that the proposed scheme can significantly reduce the LTE radio resource usage and successfully do data offloading for each eNB in wireless cellular networks.
UR - https://www.scopus.com/pages/publications/85015325615
UR - https://www.scopus.com/pages/publications/85015325615#tab=citedBy
U2 - 10.1109/ICS.2016.0037
DO - 10.1109/ICS.2016.0037
M3 - Conference contribution
AN - SCOPUS:85015325615
T3 - Proceedings - 2016 International Computer Symposium, ICS 2016
SP - 142
EP - 147
BT - Proceedings - 2016 International Computer Symposium, ICS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 International Computer Symposium, ICS 2016
Y2 - 15 December 2016 through 17 December 2016
ER -