2017
DOI: 10.1109/lwc.2017.2720662
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Base Station Selection for Massive MIMO Networks With Two-Stage Precoding

Abstract: The two-stage precoding has been proposed to reduce the overhead of both the channel training and the channel state information (CSI) feedback for the massive multiple-input multiple-output (MIMO) system. But the overlap of the anglespreading-ranges (ASR) for different user clusters may seriously degrade the performance of the two-stage precoding. In this letter, we propose one ASR overlap mitigating scheme through the base station (BS) selection. Firstly, the BS selection is formulated as a sum signal-to-inte… Show more

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Cited by 34 publications
(2 citation statements)
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“…It is known that the availability of channel state information (CSI) plays a critical role in beamforming design [30]. A two-stage precoding scheme has been proposed in [31] to reduce the overhead of both channel training and CSI feedback in massive MIMO systems. Furthermore, an interference alignment and soft-space-reuse based cooperative transmission scheme has been proposed in [32] and a low-cost channel estimator has been designed.…”
Section: Introductionmentioning
confidence: 99%
“…It is known that the availability of channel state information (CSI) plays a critical role in beamforming design [30]. A two-stage precoding scheme has been proposed in [31] to reduce the overhead of both channel training and CSI feedback in massive MIMO systems. Furthermore, an interference alignment and soft-space-reuse based cooperative transmission scheme has been proposed in [32] and a low-cost channel estimator has been designed.…”
Section: Introductionmentioning
confidence: 99%
“…υ = 3.8 is the path loss exponent. The large-scale channel fading can be modeled as β n = a n (r n /r min ) −υ , [19][20][21]. In this simulation, we assume that the number of users is N = 10, the variances of the noise are σ D = σ U = 1, and the residual LI power is ρ=β LI = 0dB, P U = 10 dB and P D = NP U .…”
Section: Simulation Resultsmentioning
confidence: 99%