A Resource Allocation Scheme for Mitigating Co-channel Interference in LTE-A Heterogeneous networks

碩士 === 國立臺灣科技大學 === 電機工程系 === 101 === Long Term Evolution (LTE) is a standard for wireless mobile network from The 3rd Generation Partnership Project Agreement (3GPP). Long Term Evolution–Advanced (LTE-A) is evolutionary version from LTE. LTE-A add some new technologies, one of which is Heterogeneou...

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Bibliographic Details
Main Authors: Yu-Ju Lin, 林育如
Other Authors: Bih-Hwang Lee
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/57886797017659034588
Description
Summary:碩士 === 國立臺灣科技大學 === 電機工程系 === 101 === Long Term Evolution (LTE) is a standard for wireless mobile network from The 3rd Generation Partnership Project Agreement (3GPP). Long Term Evolution–Advanced (LTE-A) is evolutionary version from LTE. LTE-A add some new technologies, one of which is Heterogeneous networks (HetNets). HetNets can build Pico eNB (eNodeB), Femto eNB and Relay whose transmission power is less than Macro eNB in Macro network to improve the communication quality on cell edge or hot spot users. However, when different kind of eNB transmit signals to their UEs (User Equipment) using same frequency at the same time, and two of UEs are in each other's transmission signal range, that will cause Co-channel Interference to make two of UEs can’t accurately receive the transmitted signals from their service eNB. In this paper, the Co-channel Interference problem between Macro eNB and Pico eNB are investigated, we propose a radio resource allocation method called Resource Allocation via Victim list application (RAVA). In the method, we using Reference Signal Received Power (RSRP) that UEs measures RSRP received from its serving eNB and reports to the eNB, then define an area that may cause co-channel interference. In our resource allocation, we take radio resources down in the Victim list which may cause interference to the UEs. Then we use communication mechanisms between eNBs to coordinate radio resources of UEs which is in the Victim list, to mitigate Co-channel interference. Our simulation results show that RAVA can effectively mitigate Co-channel Interference and improved the network throughput.