Fuzzy-based opportunistic power control strategy in cognitive radio networks

Mustafa, Wail; Yu, Jhang Shih; Rakus-Andersson, Elisabeth; Mohammed, Abbas; Kulesza, Wlodek

doi:10.1109/isabel.2010.5702903

Cited by 9 publications

(7 citation statements)

References 9 publications

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“…The work presented in this paper is based on the channel state information and thus the requirement of the synchronization between the PU and SU is significantly relaxed. Tabakovic et at [9] presented a new strategy for fuzzy logic transmit power control which enables cognitive secondary user to achieve its required transmission rate and QoS , while minimizing interference to the primary users and concurrent secondary users. In this strategy, SU sets the required signal to noise plus interference ratio (SINR) to assure the Qos of the cognitive radio network.…”

Section: Comparative Study Of Optimal Fuzzy Logicmentioning

confidence: 99%

Optimal Fuzzy Logic Power Control in cognitive Radio A Comparative Study

Joshi¹,

Jharia²

2014

International Journal of Advanced Research in Computer and Comm

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This paper presents the spectrum sharing network consisting of a pair of primary users (PUs) and a pair of cognitive users or secondary user (SUs) in fading wireless channels. Cognitive radio networks are the spectrum utilizing networks. When both the links (primary user link and secondary user link) utilized the spectrum simultaneously networks are called the spectrum sharing networks. During the spectrum sharing, the interference will occur at the primary user link and secondary user degrades the QoS of the primary user link due to same frequency band utilization from the PUs and SUs. The priority of the primary user's spectrum utilization will be higher than secondary user's spectrum utilization. This study discussed about the QoS assurance of primary users, improved the performance of the secondary users and minimization of bit rate in the spectrum sharing cognitive radio network.

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Section: Comparative Study Of Optimal Fuzzy Logicmentioning

confidence: 99%

Optimal Fuzzy Logic Power Control in cognitive Radio A Comparative Study

Joshi¹,

Jharia²

2014

International Journal of Advanced Research in Computer and Comm

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“…[16] proposed a FL based transmit power controller to enhance secondary communication performance while considering the interference offered to the PU. In [17], Mustafa et. al considered the coexistence of primary and secondary networks, and for this scenario proposed FL based power control technique to reduce the bit error rate and ensuring the desired QoS requirements for the primary network.…”

Section: Introductionmentioning

confidence: 99%

SNR Maximization using Fuzzy Rule based System in Relay Assisted Cognitive Radio Networks

Sultan¹,

Bassam²,

Khan³

et al. 2016

CAE

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Performance enhancement of secondary communication, while adhereing to the interference constraint of the primary network in an underlay sepctrum sharing environemnt, is an active area of research. In this paper, we propose a Fuzzy Rule Based System (FRBS) assisted relay selection and transmit power allocation (RSTPA) technique that provides the secondary users the ability to coexist with the primary users in an energyconstrainted dual-hop Cognitive Radio Network. In this proposal, FRBS selects the optimal combination of relays aiming to maximize the signal-to-noise ratio (SNR) received at the destination, while guaranteeing that interference threshold of the primary network is not exceeded. The proposed scheme has been investigated for well-defined range of certain parameters. Simulation results prove that FRBS can accurately select the best combination of relays and maximize the SNR. Its performance in terms of end-to-end SNR has been compared with another scheme in the literature for multiple relay selection.

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“…In [16], Tabakovic et al applied FL to design a transmit power controller which enables the secondary communication with the desired QoS requirements, while ensuring that the interference offered to the PU is minimized. In [17], authors proposed a power control method based on FL for the coexisting primary and secondary networks, aiming to maximize the spectrum usage efficiency while ensuring the desired QoS requirements for the primary network. However, the application of FL for transmit power minimization at the cognitive relay network, while ensuring to satisfy the minimum QoS requirement of the SU and interference threshold of the PU in an underlay spectrum sharing model has not been done so far to the best of our knowledge.…”

Section: Introductionmentioning

confidence: 99%

Transmit Power Minimization using Fuzzy Rule based System in Relay Assisted Cognitive Radio Networks

Sultan¹,

Zafar²,

Sultan³

2015

IJCA

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Transmit power minimization is one of the major research challenges in Relay-Assisted Cognitive Radio Networks. In this process, the transmit power of each individual relay is adjusted in such a way that the overall transmit power consumption at the relay network is minimized while satisfying the minimum Quality-of-Service (QoS) requirements of primary and secondary networks. In this paper, a similar constrained optimization problem is focused in which a secondary source-destination pair is assisted by a potential relay network having Cognitive Radio capabilities. A Fuzzy Rule Based System (FRBS) is proposed for intelligent relay selection such that total transmit power at the relay network is minimized while achieving the desired signal-to-noise ratio (SNR) at the destination and keeping the primary communication undisturbed. The effectiveness of the proposed scheme is highlighted through simulation results.

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Fuzzy-based opportunistic power control strategy in cognitive radio networks

Cited by 9 publications

References 9 publications

Optimal Fuzzy Logic Power Control in cognitive Radio A Comparative Study

Optimal Fuzzy Logic Power Control in cognitive Radio A Comparative Study

SNR Maximization using Fuzzy Rule based System in Relay Assisted Cognitive Radio Networks

Transmit Power Minimization using Fuzzy Rule based System in Relay Assisted Cognitive Radio Networks

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