Nondata-aided error vector magnitude performance analysis over κ−μ shadowed fading channel
The performance prediction of wireless system over κ−μ shadowed fading channels was a challenging problem of wireless communications,which affects transmission scheme design seriously.To solve this problem,a novel method of quantifying the κ−μ shadowed fading channels performance based on nondata-ai...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2018-05-01
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| Series: | Tongxin xuebao |
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| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018088/ |
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| author | Fan YANG Xiaoping ZENG Haiwei MAO Xin JIAN Derong DU Xiaoheng TAN Yiwen GAO |
| author_facet | Fan YANG Xiaoping ZENG Haiwei MAO Xin JIAN Derong DU Xiaoheng TAN Yiwen GAO |
| author_sort | Fan YANG |
| collection | DOAJ |
| description | The performance prediction of wireless system over κ−μ shadowed fading channels was a challenging problem of wireless communications,which affects transmission scheme design seriously.To solve this problem,a novel method of quantifying the κ−μ shadowed fading channels performance based on nondata-aided error vector magnitude (NDA-EVM) was proposed.NDA-EVM was considered as a new metric to evaluate the change of the channels.The unified model to calculate different modulation order of NDA-EVM was analytically derived by maximum likelihood criterion.Moreover,the relationship between the κ−μ distribution and the NDA-EVM was built by using the attenuation factor of the channel as intermediate variable.Thereafter,the lower bounds of the NDA-EVM over the κ−μ shadowed fading channels were formulated,which was also simplified for various typical channels.The theoretical analysis was taken,moreover,numerical results were also conducted to verify the effectiveness of the derived formulation.It shows that NDA-EVM estimation has the lest root mean square error than data-aided signal to noise ratio (DA-SNR) estimation and error vector magnitude (DA-EVM) estimation over the κ−μ shadowed fading channels.The derived lower bounds closely match the theoretical values,especially at low SNR.In addition,the lower bounds are negatively related to all of the parameters of the κ−μ shadowed fading channels,which make it sensitive to the change of the fading channels. |
| format | Article |
| id | doaj-art-6d258e6a987f483fb8b032c76affb921 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2018-05-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-6d258e6a987f483fb8b032c76affb9212025-01-14T07:14:50ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-05-013917718859718476Nondata-aided error vector magnitude performance analysis over κ−μ shadowed fading channelFan YANGXiaoping ZENGHaiwei MAOXin JIANDerong DUXiaoheng TANYiwen GAOThe performance prediction of wireless system over κ−μ shadowed fading channels was a challenging problem of wireless communications,which affects transmission scheme design seriously.To solve this problem,a novel method of quantifying the κ−μ shadowed fading channels performance based on nondata-aided error vector magnitude (NDA-EVM) was proposed.NDA-EVM was considered as a new metric to evaluate the change of the channels.The unified model to calculate different modulation order of NDA-EVM was analytically derived by maximum likelihood criterion.Moreover,the relationship between the κ−μ distribution and the NDA-EVM was built by using the attenuation factor of the channel as intermediate variable.Thereafter,the lower bounds of the NDA-EVM over the κ−μ shadowed fading channels were formulated,which was also simplified for various typical channels.The theoretical analysis was taken,moreover,numerical results were also conducted to verify the effectiveness of the derived formulation.It shows that NDA-EVM estimation has the lest root mean square error than data-aided signal to noise ratio (DA-SNR) estimation and error vector magnitude (DA-EVM) estimation over the κ−μ shadowed fading channels.The derived lower bounds closely match the theoretical values,especially at low SNR.In addition,the lower bounds are negatively related to all of the parameters of the κ−μ shadowed fading channels,which make it sensitive to the change of the fading channels.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018088/κ−μ shadowed fading channelsperformance lower boundsnondata-aidederror vector magnitude |
| spellingShingle | Fan YANG Xiaoping ZENG Haiwei MAO Xin JIAN Derong DU Xiaoheng TAN Yiwen GAO Nondata-aided error vector magnitude performance analysis over κ−μ shadowed fading channel Tongxin xuebao κ−μ shadowed fading channels performance lower bounds nondata-aided error vector magnitude |
| title | Nondata-aided error vector magnitude performance analysis over κ−μ shadowed fading channel |
| title_full | Nondata-aided error vector magnitude performance analysis over κ−μ shadowed fading channel |
| title_fullStr | Nondata-aided error vector magnitude performance analysis over κ−μ shadowed fading channel |
| title_full_unstemmed | Nondata-aided error vector magnitude performance analysis over κ−μ shadowed fading channel |
| title_short | Nondata-aided error vector magnitude performance analysis over κ−μ shadowed fading channel |
| title_sort | nondata aided error vector magnitude performance analysis over κ μ shadowed fading channel |
| topic | κ−μ shadowed fading channels performance lower bounds nondata-aided error vector magnitude |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018088/ |
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