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• W2612551437 abstract "In this work, we analyze the uplink performance of a massive multiple input multiple output network with asymptotically large number of antennas at the base stations. Following the usual approach, we first derive the characteristic function of interference and use the classical Gil-Palaez inversion theorem to obtain the coverage probability expression. However, since the resulting expression does not assume an efficient computational form, we propose our alternate approach that is based on approximate statistical characterization of interference by capturing the exact interference contribution from the dominant interferer and mean of the interference power from the rest of the interferers. Using this approximate but fairly accurate interference distribution, we derive the expressions for coverage probability and user spectral efficiency. These expressions are not only simpler to evaluate compared to other existing methods in literature, but also provide more accurate results in this line of work, which is validated through Monte Carlo simulations. One of the main outcomes of our analysis is that complete channel inversion based power control is not beneficial in terms of both ergodic spectral efficiency and outage spectral efficiency of a typical user." @default.
• W2612551437 created "2017-05-19" @default.
• W2612551437 creator A5064063671 @default.
• W2612551437 creator A5079672415 @default.
• W2612551437 date "2017-03-01" @default.
• W2612551437 modified "2023-09-27" @default.
• W2612551437 title "New Stochastic Geometry-Based Analysis of Uplink Massive MIMO in Asymptotic Antenna Regime" @default.
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• W2612551437 doi "https://doi.org/10.1109/wcnc.2017.7925683" @default.
• W2612551437 hasPublicationYear "2017" @default.
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