Ecology-Based Coexistence Mechanism in Heterogeneous Cognitive Radio Networks

Zhang, Duzhong; Liu, Quan; Chen, Lin; Xu, Wei

doi:10.1109/glocom.2014.7417089

Cited by 5 publications

(22 citation statements)

References 5 publications

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“…4b, c present the similar stable curves to Fig. 3b, [16,17] and this paper adopt the L-V competition model, in [16,17] only the equilibrium with weighted fairness can be achieved, while from Figs. 3 and 4 we know that this paper can achieve equilibria with different fairness indexes (i.e., a).…”

Section: Algorithm 1 Icssmentioning

confidence: 62%

“…Although this paper is similar to [16][17][18], there is one fundamental difference between this paper and [16][17][18]. This paper removes the assumption of static TVWS spectrum during the spectrum sharing process in [16][17][18], and uses the typical Markov chain model to characterize the dynamics of the TVWS spectrum due to PUs.…”

Section: Related Workmentioning

confidence: 99%

“…This paper removes the assumption of static TVWS spectrum during the spectrum sharing process in [16][17][18], and uses the typical Markov chain model to characterize the dynamics of the TVWS spectrum due to PUs. To this end, a completely novel NMJS model and a new solution method are for the first time proposed in this paper.…”

Section: Related Workmentioning

confidence: 99%

“…The SHARE leverages an IEEE 802.19.1 system to establish an indirect coordination mechanism for coexisting H-CRNs and employs an ecology-inspired spectrum sharing algorithm to achieve a weighted fair spectrum sharing allocation among H-CRNs. Zhang et al [17] generalize [16] by considering a QoS parameter and different mutual interference factors in the spectrum competition model. Yin et al [18] for the first time apply nonlinear control theory to the heterogeneous coexistence problem and propose an SSAA which can allocate a feasible spectrum share with a desired fairness for each H-CRN.…”

Section: Related Workmentioning

confidence: 99%

“…The IEEE 802.19.1 task group propose a centralized scheme [8,14] to coordinate spectrum sharing between H-CRNs. Furthermore, decision making algorithms inspired by Lotka-Volterra (L-V) competition model in the field of ecology (such as FACT [15], SHARE [16], SCHEME [17] and SSAA [18]) for an IEEE 802.19.1-compliant system are proposed. Owing to the official release of the IEEE 802.19.1 standard, centralized schemes will gain more interests.…”

Section: Introductionmentioning

confidence: 99%

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Heterogeneous coexistence between cognitive radio networks: a Markovian jump system method

2017

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With the increasing demand of wireless spectrum, different unlicensed wireless communication technologies have been applied in the television white space (TVWS). It is vital to understand that the mutual interference over TVWS due to incompatible protocol designs heavily degrades the quality of service of coexisting heterogeneous cognitive radio networks. In this paper, taking the activity of primary users into consideration, we formulate the heterogeneous coexistence problem over TVWS as a nonlinear Markovian jump system (NMJS) based on the Lotka-Volterra competition model. By using the local linearization method, we first obtain a linear Markovian jump system model (which approximates the NMJS linearly at the desired spectrum share) to the NMJS. Further, we obtain an effective feedback controller to the equilibrium assignment of the NMJS via solving a sufficient condition in the form of linear matrix inequalities. Third, we propose an IEEE 802.19.1-compatible spectrum sharing algorithm which enables the NMJS to converge to the assigned spectrum share. Finally, extensive simulations are conducted to validate the effectiveness of our proposals.

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Section: Algorithm 1 Icssmentioning

confidence: 62%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Heterogeneous coexistence between cognitive radio networks: a Markovian jump system method

2017

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Heterogeneous coexistence between cognitive radio networks over TV white space: a nonlinear control perspective

Yin

Zheng

Zhang

2016

Trans. Emerging Tel. Tech.

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An increasing number of different unlicensed wireless technologies have been deployed in the TV white space (TVWS). Because MAC/PHY designs of coexisting networks are incompatible, heterogeneous cognitive radio networks operating in the same TVWS spectrum may cause severe mutual interference, which further leads to performance degradation or even the inability to continue operation. Motivated by the competition relationship between different species in a stable ecosystem, this paper formulates the heterogeneous coexistence problem over TVWS as a nonlinear feedback control system (NFCS) based on the Lotka-Volterra competition model. With the differential mean value theorem, we can obtain a feedback controller to the NFCS via solving a sufficient condition in the form of linear matrix inequalities, based on which a spectrum sharing allocation algorithm (SSAA) is proposed to enable the NFCS to converge to any feasible spectrum share. It is shown that the SSAA is compatible with the IEEE 802.19.1 system. Finally, extensive simulations demonstrate the efficiency of the proposed SSAA.

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Ecology‐based coexistence scheme for heterogeneous cognitive radio networks over TV white space

Song

Zheng

2018

IET Communications

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Ecology-Based Coexistence Mechanism in Heterogeneous Cognitive Radio Networks

Cited by 5 publications

References 5 publications

Heterogeneous coexistence between cognitive radio networks: a Markovian jump system method

Heterogeneous coexistence between cognitive radio networks: a Markovian jump system method

Heterogeneous coexistence between cognitive radio networks over TV white space: a nonlinear control perspective

Ecology‐based coexistence scheme for heterogeneous cognitive radio networks over TV white space

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