TY - GEN
T1 - Dynamic service selection in backscatter-Assisted rf-powered cognitive networks
T2 - 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019
AU - Gao, Xiaozheng
AU - Feng, Shaohan
AU - Niyato, Dusit
AU - Yang, Kai
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Conventional radio-frequency-powered cognitive networks can be combined with the backscatter communication technology to improve performance of the networks. In this paper, we consider a backscatter-Assisted radio-frequency-powered cognitive network, where many secondary transmitters transmit data to a common secondary gateway. The secondary gateway, as a controller, provides two services for the secondary transmitters, and the secondary transmitters will adapt their service selection when their utilities are below the expected utility. To analyse the service selection of the secondary transmitters, we formulate the problem as an evolutionary game. Specifically, we model the service adaptation of the secondary transmitters by the replicator dynamics, and analytically prove that a unique evolutionary equilibrium is reached by the evolutionary game. Also, we prove that the evolutionary equilibrium is stable. We further present numerical results to provide insights of the dynamic service selection in the network.
AB - Conventional radio-frequency-powered cognitive networks can be combined with the backscatter communication technology to improve performance of the networks. In this paper, we consider a backscatter-Assisted radio-frequency-powered cognitive network, where many secondary transmitters transmit data to a common secondary gateway. The secondary gateway, as a controller, provides two services for the secondary transmitters, and the secondary transmitters will adapt their service selection when their utilities are below the expected utility. To analyse the service selection of the secondary transmitters, we formulate the problem as an evolutionary game. Specifically, we model the service adaptation of the secondary transmitters by the replicator dynamics, and analytically prove that a unique evolutionary equilibrium is reached by the evolutionary game. Also, we prove that the evolutionary equilibrium is stable. We further present numerical results to provide insights of the dynamic service selection in the network.
KW - backscatter communications
KW - energy harvesting
KW - evolutionary game
KW - service selection
UR - http://www.scopus.com/inward/record.url?scp=85073472850&partnerID=8YFLogxK
U2 - 10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00146
DO - 10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00146
M3 - Conference contribution
AN - SCOPUS:85073472850
T3 - Proceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019
SP - 801
EP - 806
BT - Proceedings - 2019 IEEE International Congress on Cybermatics
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 14 July 2019 through 17 July 2019
ER -
