Full metadata record
DC FieldValueLanguage
dc.contributor.authorLiu, Chun-Hungen_US
dc.contributor.authorLiang, Di-Chunen_US
dc.contributor.authorYang, Jie-Ruen_US
dc.contributor.authorChen, Jieen_US
dc.date.accessioned2018-08-21T05:56:59Z-
dc.date.available2018-08-21T05:56:59Z-
dc.date.issued2017-01-01en_US
dc.identifier.issn1550-3607en_US
dc.identifier.urihttp://hdl.handle.net/11536/146912-
dc.description.abstractIn this paper, we introduce a generalized analytical framework to evaluate the coverage probability in an mmWave heterogeneous cellular network (HetNet) consisting of UHF macrocell base stations (BSs) and mmWave small cell BSs deployed in an urban area. A generalized user association scheme that can cover a few user association schemes is formulated and applied in the mmWave HetNet. Two important statistical properties of the associated BS under this scheme are derived for the general line-of-sight and non line-of-sight pathloss channel models and they can be largely simplified if the power-law channel model is applied. Using the two statistical properties, the coverage probability of a downlink multiple-input-single-output channel is found in a compact form, which reveals that the coverage probability in the mmWave HetNet can be significantly improved if compared with the cellular network consisting of a single tier of mmWave small cell BSs. Numerical results not only validate the correctness of the coverage probability derived but also indicate that the mmWave HetNet has the potential to achieve a high coverage probability in an urban area.en_US
dc.language.isoen_USen_US
dc.titleA Generalized Analytical Framework for Coverage Evaluation in mmWave Heterogeneous Cellular Networks in Urban Areasen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000424872101139en_US
Appears in Collections:Conferences Paper