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- W4376467033 abstract "The existence of unknown interference is a prevalent problem in wireless communication networks. Especially in multi-user multiple-input multiple-output (MIMO) networks, where a large number of user equipments are served on the same time-frequency resources, the outage performance may be dominated by the unknown interference arising from scheduling variations in neighboring cells. In this letter, we propose a Bayesian method for modeling the unknown interference power in the uplink of a cellular network. Numerical results show that our method accurately models the distribution of the unknown interference power and can be effectively used for rate adaptation with guaranteed target outage performance." @default.
- W4376467033 created "2023-05-14" @default.
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- W4376467033 date "2023-08-01" @default.
- W4376467033 modified "2023-10-17" @default.
- W4376467033 title "A Bayesian Approach to Characterize Unknown Interference Power in Wireless Networks" @default.
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- W4376467033 doi "https://doi.org/10.1109/lwc.2023.3275174" @default.
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