Abstract
In this chapter, a hybrid mode scheme is proposed for a CWPCN. The CWPCN consists of a primary communication system and a secondary communication system, where the cognitive user (CU) can adopt the HTT mode, the AB mode or the BB mode following the proposed hybrid mode scheme. The primary transmitter (PT) and the PB serve as the incident signal sources of the AB mode and the BB mode for the CU’s information backscattering, respectively. When the primary channel is idle, the CU use the harvested energy from the PT and PB to transmit information to the IR following the HTT mode. The optimal time allocation among the three modes is investigated for the sake of maximizing the throughput of the secondary communication system. The closed-form solution is derived and the optimal combination of the working modes is obtained. Numerical results demonstrate the advantage of the proposed scheme over the single mode schemes in terms of system throughput.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bin Lyu, Haiyan Guo, Zhen Yang, and Guan Gui, “Throughput maximization for hybrid backscatter assisted cognitive wireless powered communication networks,” IEEE Internet of Things Journal, https://doi.org/10.1109/JIOT.2018.2820180.
S. Lee, R. Zhang, “Cognitive wireless powered network: Spectrum sharing models and throughput maximization,” IEEE Trans. Cogn. Commun. Netw., vol. 1, no. 3, pp. 335–346, Sep. 2015.
D. T. Hoang, D. Niyato, P. Wang, D. I. Kim, and Z. Han, “The tradeoff analysis in RF-powered backscatter cognitive radio networks,” in IEEE GLOBECOM, Washington, USA, Dec. 2016, pp. 1–6.
S. H. Kim and D. I. Kim, “Hybrid backscatter communication for wireless-powered heterogeneous networks,” IEEE Trans. Wireless Commun., vol. 16, no. 10, pp. 6557–6570, Jul. 2017.
V. Liu, A. Parks, V. Talla, S. Gollakota, D. Wetherall, and J. R. Smith, “Ambient backscatter: Wireless communication out of thin air,” in Proc. SIGCOMM, pp. 39–50, Hong Kong, Aug. 2013.
A. N. Parks, A. Liu, S. Gollakota, and J. R. Smith, “Turbocharging ambient backscatter communication,” in Proc. SIGCOMM, pp. 619–630, Chicago, USA, Aug. 2014.
B. Kellogg, V. Talla, S. Gollakota, and J. R. Smith, “Passive wi-fi: Bringing low power to wi-fi transmissions,” in Proc. NSDI, pp. 151–164, Santa Clara, USA, Mar. 2016.
J. Kimionis, A. Bletsas, and J. N. Sahalos, “Increased range bistatic scatter radio,” IEEE Trans. Commun., vol. 62, no. 3, pp. 1091–1104, Mar. 2014.
S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge University Press, 2004.
H. Ju and R. Zhang, “Throughput maximization in wireless powered communication networks,” IEEE Trans. Wireless Commun., vol. 13, no. 1, pp. 418–428, Jan. 2014.
P. Zhang and D. Ganesan, “Enabling bit-by-bit backscatter communication in severe energy harvesting environment,” in Proc. NSDI, pp. 345–357, Seattle, WA, Apr. 2014.
New policies for part 15 devices, FCC, TCBC workshop, 2005.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2019 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Gui, G., Lyu, B. (2019). Cognitive Wireless Powered Communication Networks with Hybrid Backscatter Communication. In: Optimization for Wireless Powered Communication Networks. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-01021-8_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-01021-8_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01020-1
Online ISBN: 978-3-030-01021-8
eBook Packages: EngineeringEngineering (R0)