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• W2960401122 abstract "The flexibility and mobility of unmanned aerial vehicles (UAVs) make them a viable candidate in improving connectivity and coverage of cloud-radio access networks (CRANs). To investigate this aspect and facilitate efficient interference mitigation, this paper studies a C-RAN in the downlink, where base stations (BSs) are assisted by UAVs in scenarios where a subset of BSs break down. BSs and UAVs apply the concept of rate-splitting (RS) which divides messages into a common and a private part. Under this strategy, we formulate a weighted sum-rate maximization problem subject to fronthaul capacity and peak transmit power constraints. This non-convex optimization problem is then solved via a low complexity convex-concave procedure (CCP) algorithm. Simulation results suggest that our proposed RS method in an UAV-embedded C-RAN system yields significant improvement in achievable sum-rate over schemes which adopt treating interference as noise as a receiving strategy. Further, the scenario where UAVs are assigned for common messages and BSs for private message is the preferred RS allocation choice." @default.
• W2960401122 created "2019-07-23" @default.
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• W2960401122 date "2019-05-01" @default.
• W2960401122 modified "2023-09-25" @default.
• W2960401122 title "UAV-Assisted C-RAN with Rate Splitting Under Base Station Breakdown Scenarios" @default.
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• W2960401122 doi "https://doi.org/10.1109/iccw.2019.8757041" @default.
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