TY - JOUR
T1 - Resource Exchange in Smart Grid Connected Cooperative Cognitive Radio Networks
AU - Huang, Xueqing
AU - Ansari, Nirwan
N1 - Funding Information:
Manuscript received June 9, 2016; revised October 22, 2016; accepted December 12, 2016. Date of publication December 21, 2016; date of current version July 14, 2017. This work was supported in part by the National Science Foundation under Grant CNS-1320468. The review of this paper was coordinated by Prof. H. Nishiyama.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/7
Y1 - 2017/7
N2 - Wireless telecommunications is experiencing a massive penetration of wireless devices and an exponential growth in wireless applications. To accommodate the expected service requirements with the available radio resources, we present a new radio resource exchange scheme for a smart grid connected cognitive radio system, in which independently harvested energy can be stored in the smart grid in the form of on-grid credit. The secondary system will gain spectrum usage by either forwarding primary data or transferring energy credit directly to the primary system. In particular, to maximize the overall energy saving while meeting the throughput requirement, the utilities of both systems are optimized by jointly designing the subchannel assignment scheme with power control. First, for any given subchannel assignment, we have derived the optimal power allocated by both primary and secondary systems to each subchannel. Then, the characteristics of the subchannel assignment scheme are analyzed, and the complexity of finding the optimal assignment is reduced. Finally, a novel joint subchannel assignment and power control scheme is proposed to decide whether and how to cooperate by comparing the utilities of both systems with and without cooperation. Simulations results are presented to verify the optimality of the derived scheme.
AB - Wireless telecommunications is experiencing a massive penetration of wireless devices and an exponential growth in wireless applications. To accommodate the expected service requirements with the available radio resources, we present a new radio resource exchange scheme for a smart grid connected cognitive radio system, in which independently harvested energy can be stored in the smart grid in the form of on-grid credit. The secondary system will gain spectrum usage by either forwarding primary data or transferring energy credit directly to the primary system. In particular, to maximize the overall energy saving while meeting the throughput requirement, the utilities of both systems are optimized by jointly designing the subchannel assignment scheme with power control. First, for any given subchannel assignment, we have derived the optimal power allocated by both primary and secondary systems to each subchannel. Then, the characteristics of the subchannel assignment scheme are analyzed, and the complexity of finding the optimal assignment is reduced. Finally, a novel joint subchannel assignment and power control scheme is proposed to decide whether and how to cooperate by comparing the utilities of both systems with and without cooperation. Simulations results are presented to verify the optimality of the derived scheme.
KW - Cooperative communications
KW - on-grid energy credit
KW - power control
KW - radio resource exchange
KW - smart grid
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U2 - 10.1109/TVT.2016.2642902
DO - 10.1109/TVT.2016.2642902
M3 - Article
AN - SCOPUS:85029210852
SN - 0018-9545
VL - 66
SP - 6291
EP - 6298
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 7
M1 - 7792724
ER -