Optimal Probabilistic Initial and Target Channel Selection for Spectrum Handoff in Cognitive Radio Networks

Sheikholeslami, Fatemeh; Nasiri-Kenari, Masoumeh; Ashtiani, Farid

doi:10.1109/twc.2014.2354407

Cited by 57 publications

(40 citation statements)

References 23 publications

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“…Recent works (Zhi-jin et al, 2015;Sheikholeslami et al, 2015;Haldar et al, 2013;Xian et al, 2012) show that spectrum handoff is one of the challenging issue in CR networks. Zhi-jin et al (2015) proposes adaptive weights strategy based on CR information for the spectrum handoff in CR networks.…”

Section: Related Workmentioning

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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Section: Related Workmentioning

confidence: 99%

Context aware spectrum handoff scheme in cognitive radio vehicular networks

Kumar¹,

Prakash²,

Tripathi³

2017

IJAHUC

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“…A probability based method is applied to determine the initial and target channel to carry out the decision process [15]. The main features in this type of handoff are it minimizes extended service time and average break time for the secondary connection, reduces collision probability between CRs and suitable for well modeled primary users low handoff latency.…”

Section: Probability Based Shomentioning

confidence: 99%

A Study on Quantitative Parameters of Spectrum Handoff in Cognitive Radio Networks

J¹,

Murugesh²

2017

IJWMN

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The innovation of wireless technologies requires dynamic allocation of spectrum band in an efficient manner. This has been achieved by Cognitive Radio (CR) networks which allow unlicensed users to make use of free licensed spectrum, when the licensed users are kept away from that spectrum. The cognitive radio makes decision, switching from primary user to secondary user and vice-versa, based on its built-in interference engine. It allows secondary users to makes use of a channel based on its availability i.e. on the absence of the primary user and they should vacate the channel once the primary user re-enters and continue their communication on another available channel and this process in the cognitive radio isknown as spectrum mobility. The main objective of spectrum mobility is that, there is no interruption caused due to the channel occupied by secondary users and maintains a good quality of service. In order to achieve better spectrum mobility, it is mandatory to choose an effective spectrum handoff strategy with the capability of predicting spectrum mobility. The handoff strategy with its parameters and its impact is an important concept in spectrum mobility but fairly explored. In this paper an empirical study on quantitative parameters involved in spectrum mobility prediction are discussed in detail. These parameters are studied extensively because they play a vital role in the spectrum handoff process moreover the impact of these parameters in various handoff methods can be used to predict the effectiveness of the system.

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“…• Spectrum handoff scheme has been designed for single SU [2][3][4][5]. In this paper, we study the spectrum handoff problem of both single SU and multiple SUs.…”

Section: Introductionmentioning

confidence: 99%

“…• Spectrum handoff problem or resource allocation problem of SUs in CRNs has been studied independently in [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. In this paper, we jointly consider spectrum handoff and resource allocation problem of SUs in heterogeneous CRNs and design a joint optimal strategy for all the SUs in terms of handoff target channel selection and transmit power allocation.…”

Section: Introductionmentioning

confidence: 99%

Energy efficiency-based joint spectrum handoff and resource allocation algorithm for heterogeneous CRNs

Chai

Qin

Chen

et al. 2016

J Wireless Com Network

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Cognitive radio networks (CRNs) are expected to improve spectrum utilization significantly by allowing secondary users (SUs) to opportunistically access the licensed spectrum of primary users (PUs). In an integrated network consisting of multiple heterogeneous CRNs, SUs with multiple interfaces may have to conduct inter-system or intra-system spectrum handoff due to the arrival of PUs or performance degradation on serving spectrum. In this case, designing an optimal spectrum handoff scheme which offers quality of service (QoS) guarantee and performance enhancement of the SUs is of particular importance. On the other hand, resource allocation strategy on target channel also plays an important role in affecting the transmission performance of handoff SUs. In this paper, we jointly design spectrum handoff and resource allocation strategy for handoff SUs in heterogeneously integrated CRNs. To achieve joint resource management among various CRNs, we propose a joint radio resource management architecture, based on which the proposed spectrum handoff and resource allocation scheme can be conducted. Jointly considering the transmission performance of the handoff SUs, we formulate the total energy efficiency of the SUs and design an optimization problem which maximizes the energy efficiency subject to spectrum handoff, QoS, and power constraints of the SUs. An iterative algorithm is proposed to solve the formulated nonlinear fractional optimization problem. Within each iteration, the optimization problem is transformed equivalently into two subproblems, i.e., power allocation subproblem of each SU-spectrum pair and spectrum handoff subproblem for all the SUs. The two subproblems are solved, respectively, through applying Lagrange dual method and the Kuhn-Munkres (K-M) algorithm. Numerical results demonstrate the efficiency of the proposed algorithm.

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Optimal Probabilistic Initial and Target Channel Selection for Spectrum Handoff in Cognitive Radio Networks

Cited by 57 publications

References 23 publications

Context aware spectrum handoff scheme in cognitive radio vehicular networks

Context aware spectrum handoff scheme in cognitive radio vehicular networks

A Study on Quantitative Parameters of Spectrum Handoff in Cognitive Radio Networks

Energy efficiency-based joint spectrum handoff and resource allocation algorithm for heterogeneous CRNs

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