Abstract | ||
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This paper compares centralized and distributed methods to solve the power minimization problem with qualityof- service (QoS) constraints in the downlink (DL) of multicell Massive multiple-input multiple-output (MIMO) systems. In particular, we study the computational complexity, number of parameters that need to be exchanged between base stations (BSs), and the convergence of iterative implementations. Although a distributed implementation based on dual decomposition (which only requires statistical channel knowledge at each BS) typically converges to the global optimum after a few iterations, many parameters need to be exchanged to reach convergence. |
Year | Venue | DocType |
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2018 | WSA 2018; 22nd International ITG Workshop on Smart Antennas | Conference |
Volume | ISBN | Citations |
abs/1802.07065 | 978-3-8007-4541-8 | 1 |
PageRank | References | Authors |
0.36 | 10 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Trinh Van Chien | 1 | 134 | 14.68 |
Emil Björnson | 2 | 3446 | 171.49 |
Erik G. Larsson | 3 | 10189 | 605.81 |
Tuan Anh Le | 4 | 481 | 46.06 |