RF-powered cognitive radio networks: technical challenges and limitations

Mohjazi, Lina; Dianati, Mehrdad; Karagiannidis, George K.; Muhaidat, Sami; Al‐Qutayri, Mahmoud

doi:10.1109/mcom.2015.7081081

Cited by 99 publications

(45 citation statements)

References 17 publications

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“…8 The RF-EH is also applicable in cognitive radio networks (CRNs). 9 Using the harvested energy, SUs can perform spectrum sensing and opportunistically access spectrum holes, 10,11 concurrently transmit data with PUs, 12,13 proactively forward PUs' data to exchange for more resources, [14][15][16] or transmit data in a cognitive relaying manner under the interference constraints of PUs. 17,18 Most existing works assumed that PUs have stable power supplies, whereas SUs can harvest RF energy from the transmissions of PUs.…”

Section: Introductionmentioning

confidence: 99%

Cognitive spectrum access with energy harvesting primary user and best secondary user selection

Zhai

Zheng

2019

Trans Emerging Tel Tech

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Energy harvesting and spectrum sharing are promising techniques to improve the energy and spectral efficiency of wireless networks. In this work, we propose a two-phase spectrum sharing scheme with multiple secondary users (SUs) coexisting with an energy harvesting primary user (PU). In Phase I, along with a power beacon transferring wireless power to PU, an SU is selected to transmit data using its maximal power, from which the interference can help charge PU. In Phase II, PU will transmit data using its harvested energy and, meanwhile, another SU is selected to transmit data with a controlled power under an interference constraint of primary system. Particularly, if PU has not harvested any energy in Phase I, it will keep silent in Phase II, and an SU is selected to transmit using its maximal power. Numerical results show that our scheme can achieve a reasonably good throughput for SUs while improving the performance of primary system.

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Section: Introductionmentioning

confidence: 99%

Cognitive spectrum access with energy harvesting primary user and best secondary user selection

Zhai

Zheng

2019

Trans Emerging Tel Tech

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“…Recently, radio frequency (RF) energy harvesting cognitive radio has been proposed as a promising approach to improve spectral utilization and energy efficiency, simultaneously. 1 In cognitive radio networks (CRNs), secondary users (SUs) can reuse the spectrum licensed to primary users (PUs) in such a way that they do not cause harmful interference to the PUs. On the other hand, the energy harvesting technique can efficiently reduce the energy consumption and CO 2 emission.…”

Section: Introductionmentioning

confidence: 99%

A joint sensing and transmission power control policy for RF energy harvesting cognitive radio networks

Yan

Zhao

et al. 2018

Int J Communication

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Summary We consider a radio frequency energy harvesting cognitive radio network in which a secondary user (SU) can opportunistically access channel to transmit packets or harvest radio frequency energy when the channel is idle or occupied by a primary user. The channel occupancy state and the channel fading state are both modeled as finite state Markov chains. At the beginning of each time slot, the SU should determine whether to harvest energy for future use or sense the primary channel to acquire the current channel occupancy state. It then needs to select an appropriate transmission power to execute the packet transmission or harvest energy if the channel is detected to be idle or busy, respectively. This sequential decision‐making, done to maximize the SU's expected throughput, requires to design a joint spectrum sensing and transmission power control policy based on the amount of stored energy, the retransmission index, and the belief on the channel state. We formulate this as a partially observable Markov decision process and use a computationally tractable point‐based value iteration algorithm. Section 5 illustrate the significant outperformance of the proposed optimal policy compared with the optimal fixed‐power policy and the greedy fixed‐power policy.

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“…In Lee et al, secondary user (SU) harvests energy from the nearby primary user (PU) or transmits information if the PU is far away. In Nguyen and Koo, the achievable throughput of the secondary transmitter was analysed for improving the energy and spectral efficiency of the CRN. Similarly, Park et al focused on determining the optimal spectrum sensing policy of SU, subject to an energy causality constraint and a collision constraint.…”

Section: Introductionmentioning

confidence: 99%

New cooperative strategy for cognitive radios with wireless powered primary users

Azmat

Zhou

Chen

2017

Int J Communication

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Conventional strategy for cognitive radios does not assume any energy harvesting capability at the primary users. However, this is not the case when primary users are wirelessly powered, especially in wireless sensor works that are widely used in the Internet of Things. In this paper, we propose a new cooperative strategy where the secondary user transmits data if the primary users are detected to be idle or harvest energy, in contrast to conventional strategy where the secondary user only transmits data if the primary users are detected idle. The performances of this new strategy are analysed. Numerical results show that primary user can achieve energy gain from the transmission of secondary user and that secondary user can also achieve throughput gain by transmitting data when primary user performs energy harvesting. On the other hand, secondary user harvests less energy on average using the new strategy as it has to transmit data when primary user harvests energy. KEYWORDS cognitive radio, energy harvesting, wireless powered communication Int J Commun Syst. 2018;31:e3355.wileyonlinelibrary.com/journal/dac

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RF-powered cognitive radio networks: technical challenges and limitations

Cited by 99 publications

References 17 publications

Cognitive spectrum access with energy harvesting primary user and best secondary user selection

Cognitive spectrum access with energy harvesting primary user and best secondary user selection

A joint sensing and transmission power control policy for RF energy harvesting cognitive radio networks

New cooperative strategy for cognitive radios with wireless powered primary users

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