Optimizing DF Cognitive Radio Networks With Full-Duplex-Enabled Energy Access Points

With the recent advances in radio frequency (RF) energy harvesting (EH) technologies, wireless powered cooperative cognitive radio network (CCRN) has drawn an upsurge of interest for improving the spectrum utilization with incentive to motivate joint information and energy cooperation between the pr...

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Veröffentlicht in:IEEE transactions on wireless communications Jg. 16; H. 7; S. 4683 - 4697
Hauptverfasser: Hong Xing, Xin Kang, Kai-Kit Wong, Nallanathan, Arumugam
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.07.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Antennas
Approximation
Beamforming
Cognitive radio
Cooperation
cooperative communication
D.C. programming
decode-and-forward
Energy consumption
Energy harvesting
Energy management
Energy utilization
full-duplex
Interference
Optimization
Power efficiency
power splitting
Radio frequency
Radio networks
Receiving
Relaying
Silicon
successive convex approximation
Wireless communication
Wireless power transmission
Wireless sensor networks
ISSN:1536-1276, 1558-2248
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Zusammenfassung:With the recent advances in radio frequency (RF) energy harvesting (EH) technologies, wireless powered cooperative cognitive radio network (CCRN) has drawn an upsurge of interest for improving the spectrum utilization with incentive to motivate joint information and energy cooperation between the primary and secondary systems. Dedicated energy beamforming is aimed at remedying the low efficiency of wireless power transfer, which nevertheless arouses out-of-band EH phases and thus low cooperation efficiency. To address this issue, in this paper, we consider a novel CCRN aided by full-duplex (FD)-enabled energy access points (EAPs) that can cooperate to wireless charge the secondary transmitter while concurrently receiving primary transmitter's signal in the first transmission phase, and to perform decode-and-forward relaying in the second transmission phase. We investigate a weighted sum-rate maximization problem subject to transmitting power constraints as well as a total cost constraint using successive convex approximation techniques. A zero-forcing-based suboptimal scheme that requires only local channel state information for the EAPs to obtain their optimum receiving beamforming is also derived. Various tradeoffs between the weighted sum-rate and other system parameters are provided in numerical results to corroborate the effectiveness of the proposed solutions against the benchmark ones.
Bibliographie:ObjectType-Article-1
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2017.2701377