2014
DOI: 10.48550/arxiv.1411.4183
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Interference Reduction in Multi-Cell Massive MIMO Systems II: Downlink Analysis for a Finite Number of Antennas

Abstract: Sharing global channel information at base stations (BSs) is commonly assumed for downlink multi-cell precoding. In the context of massive multi-input multi-output (MIMO) systems where each BS is equipped with a large number of antennas, sharing instant fading channel coefficients consumes a large amount of resource. To consider practically implementable methods, we study in this paper interference reduction based on precoding using the large-scale fading coefficients that depend on the path-loss model and are… Show more

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Cited by 4 publications
(2 citation statements)
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References 24 publications
(68 reference statements)
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“…5(a)-(c), for M B = 10 2 , M B = 10 4 , and M B = 10 6 , respectively. For comparison we use the 0.95likely rate per user criterion, defined as the rate achieved by 95% of the users, as in [3], [8], [10].…”
Section: Simulations and Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…5(a)-(c), for M B = 10 2 , M B = 10 4 , and M B = 10 6 , respectively. For comparison we use the 0.95likely rate per user criterion, defined as the rate achieved by 95% of the users, as in [3], [8], [10].…”
Section: Simulations and Discussionmentioning
confidence: 99%
“…end if 9: end while arrays in a ring of cells around C j such that if this would be the entire network. A ji collects all large-scale fading channel coefficients between all antennas arrays and all users in this network and solves the optimization problem (10), formulated for this network. Next, A ji uses the found downlink powers ρ…”
Section: B Forward Link Power Allocationmentioning
confidence: 99%