Per-Node Throughput Performance of Overlapping Cognitive Radio Networks

Nieminen, Jari; Qian, Lijun; Jäntti, Riku

doi:10.4108/icst.crowncom.2012.248460

Cited by 5 publications

(8 citation statements)

References 9 publications

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“…Mishra [9] focused on a spatial perspective and advanced algorithms to maximise the recovery of unused spectrum. Nieminen et al [10] studied the performance of overlapping CR networks (CRNs) which co-exist with a PU. The performance of CRNs in such situations was evaluated by investigating the achievable per-node throughput.…”

Section: Related Workmentioning

confidence: 99%

Optimisation of virtual cooperative spectrum sensing for UAV‐based interweave cognitive radio system

Chen

et al. 2021

IET Communications

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In an interweave cognitive radio system, cooperative spectrum sensing has been recognised as a key technology to enable secondary users to opportunistically access licensed spectrum band without harmful interference to primary users. At the same time, the unmanned aerial vehicle equipped with spectrum sensing and data transmission facilities is gaining more popularity in different applications. An unmanned aerial vehicle-based interweave cognitive radio is investigated in which the unmanned aerial vehicle is used as a secondary user, but unlike the participation of multiple secondary users in traditional cooperative spectrum sensing, a virtual cooperative spectrum sensing model is introduced into the periodic spectrum sensing frame structure. Afterwards, the authors further propose an energy-efficient virtual cooperative spectrum sensing with the sequential 0/1 fusion rule to reduce the average number of decisions without any loss in the detection performance. Sequentially, the authors formulate the optimisation of virtual cooperative spectrum sensing for unmanned aerial vehicle-based interweave cognitive ratio system as the optimal sequential 0/1 fusion problem on the basis of the K-out-of-N fusion rule and prove the formulated problem indeed has one optimal K, which yields the highest throughput. Finally, numerical simulations are presented to demonstrate the correctness of theoretical analyses and the effectiveness of the virtual cooperative spectrum sensing with the sequential 0/1 fusion rule.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Related Workmentioning

confidence: 99%

Optimisation of virtual cooperative spectrum sensing for UAV‐based interweave cognitive radio system

Chen

et al. 2021

IET Communications

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“…The authors in [12] discussed the fundamental per-node throughput of a CR user when multiple CR networks coexist under simultaneous access with the PU but did not considered the performance under prioritized access and over Nakagami-m fading channels.…”

Section: Related Workmentioning

confidence: 99%

Performance Analysis on the Coexistence of Multiple Cognitive Radio Networks

Qian¹,

Omotere²,

Jäntti³

2015

EAI Endorsed Transactions on Cognitive Communications

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The demand for wireless services is growing on a daily basis while spectral resources to support this growth are static. Therefore, there is need for the adoption of a new spectrum sharing paradigm. Cognitive Radio (CR) is a revolutionary technology aiming to increase spectrum utilization through dynamic spectrum access, as well as mitigating interference among multiple coexisting wireless networks. In many practical scenarios, multiple CR networks may coexist in the same geographical area, and they may interfere with each other and also have to yield to the primary user (PU). In this study, we investigate how much throughput a node in a CR network can achieve in the presence of another CR network and a PU. The results of this study illustrate how the transmission probability and sensing performance affect the achievable throughput of a node in coexisting CR networks. In addition, these results may serve as guidance for the deployment of multiple CR networks.

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“…For instance, first responders such as firefighters, emergency medical crews, and police officers are deployed instantaneously at the same time to rescue people from disaster circumstances. Hence, they could probably utilize the CR technology in their licensed bands to reuse frequency bands in their existing networks [6]. In another scenario, various wireless communication bands are used in battlefield communications within different military units.…”

Section: Introductionmentioning

confidence: 99%

IAN: Interference-aware routing geometry on proximity for cognitive radio networks

Lee

Kim

2014

2014 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)

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In this paper, we propose the interference-aware routing geometry algorithm that can approximate the interference percentage of the multiple overlapping transmissions between primary network and secondary network in cognitive radio networks for balancing routing costs. This algorithm allows selected routes that are corresponding to the fair costs for routing performance in cognitive networks. We also utilize the cumulant of the aggregate interference as the interference model in order to analyze the impact of overlapping interference in terms of varying distances in the network. Simulation results demonstrate the efficiency of our proposed algorithm and distance-based analysis in CRNs.

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Per-Node Throughput Performance of Overlapping Cognitive Radio Networks

Cited by 5 publications

References 9 publications

Optimisation of virtual cooperative spectrum sensing for UAV‐based interweave cognitive radio system

Optimisation of virtual cooperative spectrum sensing for UAV‐based interweave cognitive radio system

Performance Analysis on the Coexistence of Multiple Cognitive Radio Networks

IAN: Interference-aware routing geometry on proximity for cognitive radio networks

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