Joint TAS and Power Allocation for SDF Relaying M2M Cooperative Networks

dc.contributor.authorXu, Lingwei
dc.contributor.authorZhang, Hao
dc.contributor.authorWang, Jingjing
dc.date.accessioned2017-10-19T18:01:57Z
dc.date.available2017-10-19T18:01:57Z
dc.date.copyright2016en_US
dc.date.issued2016-03-20
dc.description.abstractThe outage probability (OP) performance of multiple-relay-based selective decode-and-forward (SDF) relaying mobile-to-mobile (M2M) networks with transmit antenna selection (TAS) over -Nakagami fading channels is investigated. The exact closed-form expressions for OP of the optimal and suboptimal TAS schemes are derived. The power allocation problem is formulated for performance optimization. Then, the OP performance under different conditions is evaluated through numerical simulations to verify the analysis. The simulation results showed that optimal TAS scheme has a better OP performance than suboptimal TAS scheme. Further, the power allocation parameter has an important influence on the OP performance.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipThis project was supported by National Natural Science Foundation of China (no. 61304222, no. 61301139), Natural Science Foundation of Shandong Province (no. ZR2012FQ021), and Shandong Province Outstanding Young Scientist Award Fund (no. 2014BSE28032).en_US
dc.identifier.citationXu, L., Zhang, H., & Wang, J. (2016). Joint TAS and Power Allocation for SDF Relaying M2M Cooperative Networks. Mathematical Problems in Engineering, Vol. 2016, Article ID 9187438.en_US
dc.identifier.urihttp://dx.doi.org/10.1155/2016/9187438
dc.identifier.urihttp://hdl.handle.net/1828/8701
dc.language.isoenen_US
dc.publisherMathematical Problems in Engineeringen_US
dc.subject.departmentDepartment of Electrical and Computer Engineering
dc.titleJoint TAS and Power Allocation for SDF Relaying M2M Cooperative Networksen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Xu_Lingwei_MATH PROBL ENG_2016.pdf
Size:
440.96 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: