Decision making for cognitive radio equipment: analysis of the first 10 years of exploration

Jouini, Wassim; Moy, Christophe; Palicot, Jacques

doi:10.1186/1687-1499-2012-26

Cited by 48 publications

(34 citation statements)

References 48 publications

(69 reference statements)

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“…The sensed channels kj varies from 1 to 10 in all the three approaches. As can be seen, the best performance in terms of data rate occurred when kj = 4 which coordinates to equation (5) in all the three approaches. Hence, application of multiple antennas based modified approach is correct and applicable to improve the connectivity of CR VANETs.…”

Section: Let F(k ) = Ua[aln K + 1 ]mentioning

confidence: 90%

“…This produces the large gap between current increased demand of extra spectrum bands and fixed spectrum allocation policy. To overcome this gap, FCC has suggested to use the underutilized spectrums and spectrum portions which are not in use called vacant spectrum bands or white spaces [3], [4], [5], [6]. This generates the new area of research and development of Cognitive Radio Networks (CRNs) technology which is a key enabling technology that uses underutilized spectrum bands [7], [8].…”

Section: Introductionmentioning

confidence: 99%

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Improving Connectivity of Cognitive Radio VANETs

Kumar¹,

Shekhar²

2017

IJET

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Abstract-The current trends in vehicular adhoc networks are bringing a variety of changes to the existing one. The primary focuses in the area of vehicular adhoc networks are connectivity and file distribution which is broadcast by roadside units to the onboard units during handoffs. The connectivity of vehicular adhoc network can be improved by the use of cognitive radio networks with interference management approach. Then the networks are known as cognitive radio vehicular adhoc networks. The interference management approach can be done cooperatively where each individual node assign weights on the channel and short their channels to reduce the interference. But this type of interference approach is unnecessary in the highway as the spectrum remains low and clean. The other possible disadvantage is that the node shares its information with other nodes in the networks. Its solution is to use multiple antennas to improve the connectivity in cognitive radio vehicular adhoc networks which improves the data rates in highways. This paper proposes the approach to use of multiple antennas to improve the connectivity of cognitive radio vehicular adhoc networks during handoffs. The modification is done in available non-cooperative approach and coalitional graph game based approach. The simulation results show that the proposed approach increases the data rate compared to available approaches, reducing the interference and improving the connectivity in cognitive radio vehicular adhoc networks.

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Section: Let F(k ) = Ua[aln K + 1 ]mentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Improving Connectivity of Cognitive Radio VANETs

Kumar¹,

Shekhar²

2017

IJET

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“…FCC has allowed secondary user, called CR to access primary user (PU)'s underutilised licensed spectrum bands. Hence, the dynamic usage of underutilised spectrum improves communication efficiency (Bezabih et al, 2012;Jouini et al, 2012;Stevenson et al, 2009;Wang and Liu, 2011;Zhang et al, 2015;Zhang and Zheng, 2010). The dynamic usage of underutilised spectrum can be done by spectrum handoff decision (Akyildiz et al, 2008(Akyildiz et al, , 2009.…”

Section: Introductionmentioning

confidence: 99%

Context aware spectrum handoff scheme in cognitive radio vehicular networks

Kumar¹,

Prakash²,

Tripathi³

2017

IJAHUC

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In future cognitive radio (CR) vehicular networks deployment, multiple radio access networks may coexist in overlapping areas. These networks may have with largely different characteristics in terms of multiple attributes. Hence, it becomes difficult for CR vehicular node to select preferred network for spectrum handoff decision. This can be done by a context aware spectrum handoff that takes multiple attributes into account for spectrum handoff decision for preferred network selection. This paper proposes a context aware spectrum handoff scheme with multiple attributes decision-making (MADM) methods for preferred network selection in CR vehicular networks. The MADM methods used are simple additive weighting and grey relational analysis. The paper also proposes a cost-based spectrum handoff scheme with MADM which outperforms other MADM methods. The spectrum handoff with MADM provides wider and optimum choice with quality of service. Numerical results show that the proposed scheme is effective for spectrum handoff decision for preferred network selection.

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“…Spectrum Analysis 3. Spectrum Decision making The Cognitive Cycle is introduced by Haykin is presented in [2] in Cognitive Radio. The Cognitive Radio Network has two types of user's, Primary user which is also known as licensed user which has the highest priority over the specific spectrum, while Secondary user which is unlicensed user has the lowest priority over the spectrum.…”

Section: Introductionmentioning

confidence: 99%