Abstract
Recently, fundamental research has demonstrated great potentials of integrating radio frequency (RF) energy harvesting techniques into cognitive cellular networks (CCNs). Such an integration can improve spectrum utilization and energy efficiency of wireless communication services. In CCNs with RF energy harvesting capability, when cellular base stations, i.e., primary transmitters, transmit signals to their mobile devices, secondary users (SUs) can harvest energy from the cellular channel, i.e., the primary channel, and store the energy in their batteries. Then, when the cellular channel becomes idle, the SUs can use the harvested energy to transmit data to their receivers. As such, we can utilize not only the available spectrum when the channel is idle but also energy scavenging when the channel is busy. This chapter first presents an overview of RF-based energy harvesting CCNs. Then, limitations are discussed, and some new solutions using ambient backscattering communication techniques are introduced to overcome the limitations. Finally, the chapter concludes with a discussion on the development of such networks and possible research directions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Maxwell JC (eds) (1881) A treatise on electricity and magnetism. Oxford, Clarendon
Ladan S, Ghassemi N, Ghiotto A, Wu K (2013) Highly efficient compact rectenna for wireless energy harvesting application. IEEE Microw Mag 14(1):117–122
Kuhn V, Lahuec C, Seguin F, Person C (2015) A multi-band stacked RF energy harvester with RF-to-DC efficiency up to 84%. IEEE Trans Microw Theory Tech 63(5):1768–1778
Balanis CA (eds) (2012) Antenna theory: analysis and design. New York
Rappaport TS (eds) (2001) Wireless communications: principles and practice. Upper Saddle River
Lee S, Zhang R, Huang K (2013) Opportunistic wireless energy harvesting in cognitive radio networks. IEEE Trans Wirel Commun 12(9):4788–4799
Yao Y, Song X, Yin C, Huang S (2015) Opportunistic energy harvesting and energy-based opportunistic spectrum access in cognitive radio networks. In: International Conference on Cognitive Radio Oriented Wireless Networks. Springer International Publishing, pp 187–198
Park S, Heo J, Kim B, Chung W (2012) Optimal mode selection for cognitive radio sensor networks with RF energy harvesting. In: IEEE International Symposium on Personal Indoor and Mobile Radio Communications, Sydney, pp 2155–2159
Park S, Kim H, Hong D (2013) Cognitive radio networks with energy harvesting. IEEE Trans Wirel Commun 12(3):1386–1397
Park S, Hong D (2014) Achievable throughput of energy harvesting cognitive radio networks. IEEE Trans Wirel Commun 13(2):1010–1022
Park S, Hong D (2013) Optimal spectrum access for energy harvesting cognitive radio networks. IEEE Trans Wirel Commun 12(12):6166–6179
Rakovic V, Denkovski D, Hadzi-Velkov Z, Gavrilovska L (2015) Optimal time sharing in underlay cognitive radio systems with RF energy harvesting. In: IEEE International Conference on Communications, London, pp 7689–7694
Ju H, Zhang R (2014) Throughput maximization in wireless powered communication networks. IEEE Trans Wirel Commun 13(1):418–428
Yin S, Zhang E, Qu Z, Yin L, Li S (2014) Optimal cooperation strategy in cognitive radio systems with energy harvesting. IEEE Trans Wirel Commun 13(9):4693–4707
Li D, Yin S, Li S (2013) One-step-ahead spectrum sensing in cognitive radio systems with wireless energy harvesting. In: IEEE Global High Tech Congress on Electronics, Shenzhen, pp 130–134
Yin S, Zhang E, Yin L, Li S (2013) Optimal saving-sensing-transmitting structure in self-powered cognitive radio systems with wireless energy harvesting. In: IEEE International Conference Communications, Budapest, pp 2807–2811
Lu X, Xu W, Li S, Lin J, He Z (2014) Simultaneous information and power transfer for relay-assisted cognitive radio networks. In: IEEE International Conference on Communications Workshops, Sydney, pp 331–336
Mousavifar SA, Liu Y, Leung C, Elkashlan M, Duong TQ (2014) Wireless energy harvesting and spectrum sharing in cognitive radio. In: IEEE 80th Vehicular Technology Conference, Vancouver, pp 1–5
Yang Z, Ding Z, Fan P, Karagiannidis GK (2016) Outage performance of cognitive relay networks with wireless information and power transfer. IEEE Trans Veh Technol 65(5): 3828–3833
Wang Z, Chen Z, Yao Y, Xia B, Liu H (2014) Wireless energy harvesting and information transfer in cognitive two-way relay networks. In: IEEE Global Communications Conference, Austin, pp 3465–3470
Wang Z, Chen Z, Luo L, Hu Z, Xia B, Liu H (2014) Outage analysis of cognitive relay networks with energy harvesting and information transfer. In: IEEE International Conference on Communications, Sydney, pp 4348–4353
Zheng G, Ho Z, Jorswieck EA, Ottersten B (2014) Information and energy cooperation in cognitive radio networks. IEEE Trans Signal Process 62(9):2290–2303
Gao Q, Jing T, Xing X, Cheng X, Huo Y, Chen D (2015) Simultaneous energy and information cooperation in MIMO cooperative cognitive radio systems. In: IEEE Wireless Communications and Networking Conference, New Orleans, pp 351–356
Li B, Xu W, Gao X (2015) Energy-efficient simultaneous information and power transfer in OFDM-based CRNS. In: IEEE Vehicular Technology Conference, Glasgow, pp 11–14
Shafie AE, Ashour M, Khattab T, Mohamed A (2015) On spectrum sharing between energy harvesting cognitive radio users and primary users. In: International Conference on Computing, Networking and Communications, California, pp 214–220
Sibomana L, Zepernick H-J, Tran H (2015) Wireless information and power transfer in an underlay cognitive radio network. In: International Conference on Signal Processing and Communication Systems, Cairns, pp 1–7
Gesbert D, Alouini MS (2004) How much feedback is multi-user diversity really worth? In: IEEE International Conference on Communications, Paris, pp 234–238
Ng DWK, Lo ES, Schober R (2016) Multi-objective resource allocation for secure communication in cognitive radio networks with wireless information and power transfer. IEEE Trans Veh Technol 65(5):3166–3184
Hoang DT, Niyato D, Wang P, Kim DI (2014) Opportunistic channel access and RF energy harvesting in cognitive radio networks. IEEE J Sel Areas Commun 32(11):2039–2052
Hoang DT, Niyato D, Wang P, Kim DI (2015) Performance optimization for cooperative multiuser cognitive radio networks with RF energy harvesting capability. IEEE Trans Wirel Commun 14(7):3614–3629
Tse D, Viswanath P (eds) (2005) Fundamentals of wireless communication. Cambridge University Press, Cambridge
Liu V, Parks A, Talla V, Gollakota S, Wetherall D, Smith JR (2013) Ambient backscatter: wireless communication out of thin air. In: Proceedings of the ACM SIGCOMM, Hong Kong, pp 39–50
Dunne C (2013) Ambient backscatter: brings us closer to an internet of things. http://www.fastcodesign.com/3017570/ambient-backscatter-brings-us-closer-to-an-internet-of-things
Parks AN, Liu A, Gollakota S, Smith JS (2014) Turbocharging ambient backscatter communication. ACM SIGCOMM Comput Commun Rev 44(4):619–630
Penichet CP, Varshney A, Hermans F, Rohner C, Voigt T (2016) Do multiple bits per symbol increase the throughput of ambient backscatter communications? In: Proceedings of the International Conference on Embedded Wireless Systems and Networks, TU Graz, pp 355–360
You J, Wang G, Zhong Z (2015) Physical layer security-enhancing transmission protocol against eavesdropping for ambient backscatter communication system. In: 6th International Conference on Wireless, Mobile and Multi-Media, Beijing, pp 43–47
Lu K, Wang G, Qu F, Zhong Z (2015) Signal detection and BER analysis for RF-powered devices utilizing ambient backscatter. In: International Conference on Wireless Communications & Signal Processing, Nanjing, pp 1–5
Zhang P, Ganesan D (2014) Enabling bit-by-bit backscatter communication in severe energy harvesting environments. In: Proceedings of the 11th USENIX Conference on Networked Systems Design and Implementation, pp 345–357
Hoang DT, Niyato D, Wang P, Kim DI, Han Z (2016) The tradeoff analysis in RF-powered backscatter cognitive radio networks. In: IEEE GLOBECOM, Washington DC
Huang H, Lau VKN (2012) Decentralized delay optimal control for interference networks with limited renewable energy storage. IEEE Trans Sig Process 60(5):2552–2561
Kim DY, Kim DI (2010) Reverse-link interrogation range of a UHF MIMO-RFID system in Nakagami-m fading channels. IEEE Trans Ind Electron 57(4):1468–1477
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this entry
Cite this entry
Hoang, D.T., Niyato, D. (2019). RF-Based Energy Harvesting Cognitive Cellular Networks. In: Zhang, W. (eds) Handbook of Cognitive Radio . Springer, Singapore. https://doi.org/10.1007/978-981-10-1394-2_34
Download citation
DOI: https://doi.org/10.1007/978-981-10-1394-2_34
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-1393-5
Online ISBN: 978-981-10-1394-2
eBook Packages: EngineeringReference Module Computer Science and Engineering