Energy-Efficient Cooperative Network Coding With Joint Relay Scheduling and Power Allocation.
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| Title: | Energy-Efficient Cooperative Network Coding With Joint Relay Scheduling and Power Allocation. |
|---|---|
| Authors: | Qi, Nan1, Xiao, Ming2, Tsiftsis, Theodoros A.3, Skoglund, Mikael2, Cao, Phuong L.2, Li, Lixin1 |
| Source: | IEEE Transactions on Communications. Nov2016, Vol. 64 Issue 11, p4506-4519. 14p. |
| Subjects: | Cooperative processing, Linear network coding, Electric relays, Computer scheduling, Computational complexity, Fractional programming, Electric power consumption |
| Abstract: | The energy efficiency (EE) of a multi-user multi-relay system with the maximum diversity network coding (MDNC) is studied. We explicitly find the connection among the outage probability, energy consumption, and EE, and formulate the maximizing EE problem under the outage probability constraint. Relay scheduling (RS) and power allocation (PA) are applied to schedule the relay states (transmitting, sleeping, and so on) and optimize the transmitting power under the practical channel and power consumption models. Since the optimization problem is NP hard, to reduce computational complexity, the outage probability is first tightly approximated to a log-convex form. Furthermore, the EE is converted into a subtractive form based on the fractional programming. Then, a convex mixed-integer nonlinear problem is eventually obtained. With a generalized outer approximation algorithm, RS and PA are solved in an iterative manner. The Pareto-optimal curves between the EE and the target outage probability show the EE gains from PA and RS. Moreover, by comparing with the no network coding (NoNC) scenario, we conclude that with the same number of relays, MDNC can lead to EE gains. However, if RS is implemented, NoNC can outperform MDNC in terms of the EE when more relays are needed in the MDNC scheme. [ABSTRACT FROM PUBLISHER] |
| Copyright of IEEE Transactions on Communications is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Items | – Name: Title Label: Title Group: Ti Data: Energy-Efficient Cooperative Network Coding With Joint Relay Scheduling and Power Allocation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Qi%2C+Nan%22">Qi, Nan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Xiao%2C+Ming%22">Xiao, Ming</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Tsiftsis%2C+Theodoros+A%2E%22">Tsiftsis, Theodoros A.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Skoglund%2C+Mikael%22">Skoglund, Mikael</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Cao%2C+Phuong+L%2E%22">Cao, Phuong L.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Li%2C+Lixin%22">Li, Lixin</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Communications%22">IEEE Transactions on Communications</searchLink>. Nov2016, Vol. 64 Issue 11, p4506-4519. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cooperative+processing%22">Cooperative processing</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+network+coding%22">Linear network coding</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+relays%22">Electric relays</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+scheduling%22">Computer scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+complexity%22">Computational complexity</searchLink><br /><searchLink fieldCode="DE" term="%22Fractional+programming%22">Fractional programming</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+consumption%22">Electric power consumption</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The energy efficiency (EE) of a multi-user multi-relay system with the maximum diversity network coding (MDNC) is studied. We explicitly find the connection among the outage probability, energy consumption, and EE, and formulate the maximizing EE problem under the outage probability constraint. Relay scheduling (RS) and power allocation (PA) are applied to schedule the relay states (transmitting, sleeping, and so on) and optimize the transmitting power under the practical channel and power consumption models. Since the optimization problem is NP hard, to reduce computational complexity, the outage probability is first tightly approximated to a log-convex form. Furthermore, the EE is converted into a subtractive form based on the fractional programming. Then, a convex mixed-integer nonlinear problem is eventually obtained. With a generalized outer approximation algorithm, RS and PA are solved in an iterative manner. The Pareto-optimal curves between the EE and the target outage probability show the EE gains from PA and RS. Moreover, by comparing with the no network coding (NoNC) scenario, we conclude that with the same number of relays, MDNC can lead to EE gains. However, if RS is implemented, NoNC can outperform MDNC in terms of the EE when more relays are needed in the MDNC scheme. [ABSTRACT FROM PUBLISHER] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Transactions on Communications is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/TCOMM.2016.2602830 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 4506 Subjects: – SubjectFull: Cooperative processing Type: general – SubjectFull: Linear network coding Type: general – SubjectFull: Electric relays Type: general – SubjectFull: Computer scheduling Type: general – SubjectFull: Computational complexity Type: general – SubjectFull: Fractional programming Type: general – SubjectFull: Electric power consumption Type: general Titles: – TitleFull: Energy-Efficient Cooperative Network Coding With Joint Relay Scheduling and Power Allocation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Qi, Nan – PersonEntity: Name: NameFull: Xiao, Ming – PersonEntity: Name: NameFull: Tsiftsis, Theodoros A. – PersonEntity: Name: NameFull: Skoglund, Mikael – PersonEntity: Name: NameFull: Cao, Phuong L. – PersonEntity: Name: NameFull: Li, Lixin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 00906778 Numbering: – Type: volume Value: 64 – Type: issue Value: 11 Titles: – TitleFull: IEEE Transactions on Communications Type: main |
| ResultId | 1 |
