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• W2795020796 abstract "Due to a dramatic increase in the number ofmobile users, operators are forced to expand their networksaccordingly. Cloud Radio Access Network (C-RAN) wasintroduced to tackle the problems of the current generation ofmobile networks and to support future 5G networks. However,many challenges have arisen through the centralised structure ofC-RAN. The accuracy of the channel state informationacquisition in the C-RAN for large numbers of remote radioheads and user equipment is one of the main challenges in thisarchitecture. In order to minimize the time required to acquirethe channel information in C-RAN and to reduce the end-to-endlatency, in this paper a dynamic channel estimator selectionalgorithm is proposed. The idea is to assign different channelestimation algorithms to the users of mobile networks based ontheir link status (particularly the SNR threshold). For thepurpose of automatic and adaptive selection to channelestimators, a fuzzy logic algorithm is employed as a decisionmaker to select the best SNR threshold by utilising the bit errorrate measurements. The results demonstrate a reduction in theestimation time with low loss in data throughput. It is alsoobserved that the outcome of the proposed algorithm increases athigh SNR values." @default.
• W2795020796 created "2018-04-06" @default.
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• W2795020796 date "2018-06-01" @default.
• W2795020796 modified "2023-09-22" @default.
• W2795020796 title "Latency reduction by dynamic channel estimator selection in C-RAN networks using fuzzy logic" @default.
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• W2795020796 doi "https://doi.org/10.1016/j.comnet.2018.03.027" @default.
• W2795020796 hasPublicationYear "2018" @default.
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