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- W4221164025 abstract "Cell-free (CF) massive multiple-input multiple-output (MIMO) systems are expected to implement advanced cooperative communication techniques to let geographically distributed access points jointly serve user equipments. Building on the emph{Team Theory}, we design the uplink team minimum mean-squared error (TMMSE) combining under limited data and flexible channel state information (CSI) sharing. Taking into account the effect of both channel estimation errors and pilot contamination, a minimum MSE problem is formulated to derive unidirectional TMMSE, centralized TMMSE and statistical TMMSE combining functions, where CF massive MIMO systems operate in unidirectional CSI, centralized CSI and statistical CSI sharing schemes, respectively. We then derive the uplink spectral efficiency (SE) of the considered system. The results show that, compared to centralized TMMSE, the unidirectional TMMSE only needs nearly half the cost of CSI sharing burden with neglectable SE performance loss. Moreover, the performance gap between unidirectional and centralized TMMSE combining schemes can be effectively reduced by increasing the number of APs and antennas per AP." @default.
- W4221164025 created "2022-04-03" @default.
- W4221164025 creator A5010568178 @default.
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- W4221164025 date "2022-01-24" @default.
- W4221164025 modified "2023-09-25" @default.
- W4221164025 title "Team-Optimal MMSE Combining for Cell-Free Massive MIMO Systems" @default.
- W4221164025 doi "https://doi.org/10.48550/arxiv.2201.09618" @default.
- W4221164025 hasPublicationYear "2022" @default.
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