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• W2339536839 abstract "Coordinated multi-point (CoMP) transmission and reception are introduced as a promising technology in the 3GPP LTE-advanced standard, to manage interference, improve the overall system performance, and enhance system reliability. In this paper, a resource allocation problem is studied for downlink CoMP coordinated beamforming systems, where each base station (BS) serves its own mobile stations. Multiple-input-multiple-output (MIMO) transmit precoding and resource allocation are linked to the underlying proportional-fair scheduling to ensure a good trade-off between cell-average and cell-edge user spectral-efficiency. Due to the coupled interference among mobile stations, the resulting proportional-fair resource allocation optimization problem becomes nonconvex. To solve for optimal operating point for MIMO CoMP network, a parallel successive convex approximation-based algorithm is introduced. The introduced scheme enables all BSs to update their optimization variables in parallel by solving a sequence of strongly convex subproblems. Closed-form expressions of the locally optimal solution in both the high and low signal-to-noise regimes are characterized. The performance of the introduced scheme is also investigated through simulations. Numerical results show the efficiency of the introduced algorithm." @default.
• W2339536839 created "2016-06-24" @default.
• W2339536839 creator A5027237940 @default.
• W2339536839 creator A5077063251 @default.
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• W2339536839 date "2016-08-01" @default.
• W2339536839 modified "2023-10-12" @default.
• W2339536839 title "Proportional-Fair Resource Allocation for Coordinated Multi-Point Transmission in LTE-Advanced" @default.
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• W2339536839 doi "https://doi.org/10.1109/twc.2016.2557328" @default.
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