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dc.contributor.authorTang, Chih-Hsuanen_US
dc.contributor.authorChen, Yen-Keui Chenen_US
dc.contributor.authorWang, Li-Chunen_US
dc.date.accessioned2017-04-21T06:48:44Z-
dc.date.available2017-04-21T06:48:44Z-
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/11536/134724-
dc.description.abstractDue to the exploded demand for mobile traffic and diverse service type, flexible mobile networks with high capacity is drawing lots of research efforts. Distributed large scale (DLS) MIMO has superiority over centralized large scale MIMO and separated small cells due to lower signal loss to users and central control. In this paper, we present a self-optimization method for Cloud RAN based DLS MIMO. The method includes network dimensioning and antenna clustering with adaptability to the migration of hardware/virtualization technology and user over time. Other advantages are easing the process for dimensioning and optimization, requiring fewer antennas, and less demand for controller & baseband computing power due to the characteristic of low complexity.en_US
dc.language.isoen_USen_US
dc.subjectself-optimizationen_US
dc.subjectPlanningen_US
dc.subjectLarge-scale MIMOen_US
dc.subjectMobile Networksen_US
dc.subjectCloud RANen_US
dc.titleSelf-Optimized Cloud RAN Based Smart Zoneen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2014 16th Asia-Pacific Network Operations and Management Symposium (APNOMS)en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000392821700082en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper