2016
DOI: 10.1109/twc.2016.2593729
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Channel Estimation for Full-Duplex Relay Systems With Large-Scale Antenna Arrays

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Cited by 31 publications
(26 citation statements)
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“…We assume that D has full knowledge of x j , and full channel state information (CSI), i.e., for each i ∈ U, the CSI of the link between S and i, and the CSI of the link between i and D. This enables jamming signal cancellation and MRC based detection. We assume that the UAVs do not hinder the CSI acquisition process [19].…”
Section: System Modelmentioning
confidence: 99%
“…We assume that D has full knowledge of x j , and full channel state information (CSI), i.e., for each i ∈ U, the CSI of the link between S and i, and the CSI of the link between i and D. This enables jamming signal cancellation and MRC based detection. We assume that the UAVs do not hinder the CSI acquisition process [19].…”
Section: System Modelmentioning
confidence: 99%
“…The two channels between nodes are assumed to be flat fading modeled by independent complex Gaussian random variable with zero means and variances σ 2 sr , σ 2 rd , respectively. A separate pre-stage is assumed to gather the information of the self-interference channel to perform analog and digital cancellation methods in the next transmission stage [3], [26]. During the transmission, the self-interference is reduced in RF with analog cancellation methods until the residual self-interference power falls in the ADC dynamic range, and then is further suppressed by digital methods.…”
Section: System Modelmentioning
confidence: 99%
“…Since the line of sight (LoS) component of the self-interference varies very slowly, it can be much reduced by the RF cancellation, which means the reflected multi-path component dominates the RSI in the transmission stage [25], [26]. Under the assumption that the LoS component is reduced and the bulk of the interference is from scattering components, the RSI channel h rr can be modeled as a complex Gaussian random variable with zero mean and variance σ 2 rr [25].…”
Section: System Modelmentioning
confidence: 99%
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