Opportunistic Wireless Energy Harvesting in Cognitive Radio Networks

By Seunghyun Lee, Rui Zhang, Kaibin Huang. IEEE Transactions on Wireless Communications, 2013

592 citations recorded by the source corpus.

Wireless networks can be self-sustaining by harvesting energy from ambient radio-frequency (RF) signals. Recently, researchers have made progress on designing efficient circuits and devices for RF energy harvesting suitable for low-power wireless applications. Motivated by this and building upon the classic cognitive radio (CR) network model, this paper proposes a novel method for wireless networks coexisting where low-power mobiles in a secondary network, called secondary transmitters (STs), harvest ambient RF energy from transmissions by nearby active transmitters in a primary network, called primary transmitters (PTs), while opportunistically accessing the spectrum licensed to the primary network. We consider a stochastic-geometry model in which PTs and STs are distributed as independent homogeneous Poisson point processes (HPPPs) and communicate with their intended receivers at fixed distances. Each PT is associated with a guard zone to protect its intended receiver from ST's interference, and at the same time delivers RF energy to STs located in its harvesting zone. Based on the proposed model, we analyze the transmission probability of STs and the resulting spatial throughput of the secondary network. The optimal transmission power and density of STs are derived for maximizing the secondary network throughput under the given outage-probability constraints in the two coexisting networks, which reveal key insights to the optimal network design. Finally, we show that our analytical result can be generally applied to a non-CR setup, where distributed wireless power chargers are deployed to power coexisting wireless transmitters in a sensor network.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/7056f2ff3257ca3ab2b7ddfade5a713df04267e8

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Citations in the corpus

Simultaneous Wireless Information and Power Transfer (SWIPT): Recent Advances and Future Challenges (2018, background): “[159] proposed a new CR network architecture in which secondary users harvest RF energy from the active primary transmissions.”
Ambient Backscatter Communications: A Contemporary Survey (2017, background): “The simulation results suggest that the proposed solution can provide a solution for RF-powered CRN nodes to choose the best mode to operate, thereby improving the performance of the system.”
Communications and Signals Design for Wireless Power Transmission (2016, background): “recently applied for coexisting wireless information and power transfer systems [207], [208].”
Advances in Energy Harvesting Communications: Past, Present, and Future Challenges (2016, background): “The authors in [152] propose a cognitive radio network architecture that enables a secondary transmitter to harvest RF energy from its neighboring primary transmitters and to reuse the spectrum of the primary network.”
Wireless Information and Power Transfer in Multiuser OFDM Systems (2013, background): “In [13], the authors investigated a cognitive radio network powered by opportunistic wireless energy harvesting, where mobiles from the secondary network either harvest energy from nearby transmitters in a primary network, or transmit information if the primary transmitters are far away.”
Wireless Networks With RF Energy Harvesting: A Contemporary Survey (2014, background): “The study in [33] considers a network model where both RF-powered secondary users and primary users are assumed to follow independent homogeneous Poisson point processes and communicate with their intended receivers at fixed distances.”
Throughput maximization in wireless powered communication networks (2013, background): “Moreover, the wireless powered cognitive radio network has been considered in [3], where active primary users are utilized as energy transmitters for charging the nearby secondary users - - - .”
Harvest-Then-Cooperate: Wireless-Powered Cooperative Communications (2014, background): “These works considered that wireless energy transfer and wireless information transmission are in the same direction and focused on the characterization of the fundamental trade-offs between energy transfer and information transmission.”
A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead (2016, background): “A cognitive radio system is considered in [133], in which the secondary network draws energy from the signals received from the primary network.”
Energy Efficient Mobile Cloud Computing Powered by Wireless Energy Transfer (2015, methodology): “Furthermore, existing wireless networks such as cognitive radio [24] and cellular networks [25] have been redesigned to feature MPT.”
Throughput Optimization for Massive MIMO Systems Powered by Wireless Energy Transfer (2014, background): “Moreover, [17] studied a hybrid network which overlays an uplink cellular network with randomly deployed power beacons that charge users wirelessly, while [18] studied a similar setup in cognitive radio networks with secondary users harvesting wireless power opportunistically from nearby primary use”
Enabling Wireless Power Transfer in Cellular Networks: Architecture, Modeling and Deployment (2012, unknown): “Following the initial version of this work, a similar stochastic-geometry model has been developed in [26] for cognitive radio networks where transmitters in a secondary network power their transmissions by harvesting energy from a primary network.”
Wireless Information and Power Transfer in Cooperative Networks With Spatially Random Relays (2014, methodology): “tput broadcasting scenarios is considered in [5]. SWIPT has been demonstrated as a general energy harvesting technique and applied to various types of wireless communication networks. For example, in [6], the application of SWIPT to cognitive radio networks is considered, where users from secondary ”
Wireless powered communication: opportunities and challenges (2014, background): “ween the densities of BSs and PBs as well as their transmission power to achieve a prescribed communication outage probability. The application of WPCN is also exploited in cognitive radio network in [15], where a secondary transmitter could harvest energy from a primary transmitter if they are clos”
Energy Harvesting Wireless Communications: A Review of Recent Advances (2015, background): “The interesting idea of opportunistic energy harvesting is explored in [124] for cognitive radio networks where passive secondary nodes not only opportunistically access the spectrum”
Optimal Resource Allocation in Full-Duplex Wireless-Powered Communication Network (2014, background): “In addition, the wireless-powered cognitive radio network was considered in [20], where active primary users are utilized as energy transmitters for charging their nearby secondary users.”
Cognitive and Energy Harvesting-Based D2D Communication in Cellular Networks: Stochastic Geometry Modeling and Analysis (2014, background): “In [9], the authors propose a cognitive radio model in which a low-energy secondary transmitter harvests RF energy from transmissions by primary users in its vicinity.”