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dc.contributor.authorChen, Fengen_US
dc.contributor.authorFu, Mingjianen_US
dc.contributor.authorJia, Wen-Kangen_US
dc.date.accessioned2018-08-21T05:57:08Z-
dc.date.available2018-08-21T05:57:08Z-
dc.date.issued2017-01-01en_US
dc.identifier.issn2325-3746en_US
dc.identifier.urihttp://hdl.handle.net/11536/147084-
dc.description.abstractThis paper investigates the resource allocation problem in heterogeneous cognitive radio networks (HCRNs). In this paper, two types of users, i.e., multi-homing and single-network cognitive radio users (CRUs), are considered to coexist in HCRNs. Multi-homing CRUs can access multiple networks simultaneously, while single-network CRUs can be served by only one network at a time. With the aim of maximizing the system capacity of HCRNs, the resource allocation problem is formulated as a joint multi-dimension optimization problem which includes network selection, bandwidth and power allocation for both multi-homing and single-network CRUs. However, the joint multi-dimension optimization leads the problem to be non-convex and NP-hard. To solve the problem efficiently, continuous relaxation is performed firstly, and next a near-optimal solution using Lagrangian dual decomposition and Karush-Kuhn-Tucker (KKT) conditions is proposed in this paper. Numerical results show the proposed algorithm improves the system capacity significantly compared to the traditional ones.en_US
dc.language.isoen_USen_US
dc.subjectheterogeneous cognitive radio networken_US
dc.subjectresource allocationen_US
dc.subjectLagrangian dual decompositionen_US
dc.subjectmulti-homingen_US
dc.subjectsingle-networken_US
dc.titleJoint Resource Allocation for Multi-homing and Single-network Users in Heterogeneous Cognitive Radio Networksen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2017 9TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP)en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000426972200207en_US
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