2014 IEEE 79th Vehicular Technology Conference (VTC Spring) 2014
DOI: 10.1109/vtcspring.2014.7022836
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Applying FFR to Inter-Cell Interference Cancellation with Quasi-Decentralized Base Station Cooperation

Abstract: This paper proposes to apply fractional frequency reuse (FFR) to our inter-cell interference (ICI) cancellation method in order to further improve spectral efficiency on largescale base station cooperation. The proposed method realizes quasi-decentralized cooperation and can significantly reduce preprocessing complexity. System level simulations are conducted under practical conditions of estimation error on channel state information (CSI). The results clarify that the proposed method can achieve higher spectr… Show more

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Cited by 3 publications
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“…The ICLI cancellation so far necessitates the condition where the original desired signal strength must be larger than interference due to its simplified nature, otherwise the ICLI power is conversely emphasized. Our previous study was based on the strict frequency reuse [ 15 , 16 ] or fractional frequency reuse (FFR) [ 17 , 18 ] constraint to satisfy the above requirement in compensation for bandwidth division loss. To address this issue, this paper proposes to introduce dynamic clustering [ 19 ] and coordinated user scheduling which can leverage ICLI cancellation capability without any frequency reuse.…”
Section: Introductionmentioning
confidence: 99%
“…The ICLI cancellation so far necessitates the condition where the original desired signal strength must be larger than interference due to its simplified nature, otherwise the ICLI power is conversely emphasized. Our previous study was based on the strict frequency reuse [ 15 , 16 ] or fractional frequency reuse (FFR) [ 17 , 18 ] constraint to satisfy the above requirement in compensation for bandwidth division loss. To address this issue, this paper proposes to introduce dynamic clustering [ 19 ] and coordinated user scheduling which can leverage ICLI cancellation capability without any frequency reuse.…”
Section: Introductionmentioning
confidence: 99%