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The huge training overhead for obtaining channel state information (CSI) at the BS has been recognized as a major challenge in frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) cellular networks. To solve this problem, we propose an angular domain pilot design and channel estimation scheme to reduce the required overhead by exploiting the angle domain channel sparsity....
A novel downlink training scheme is proposed for time-division duplex massive MIMO systems. Different from conventional solutions, including the cell-specific reference signal in LTE, the UE-specific reference signal in LTE-A and the commonly used method without the downlink training sequence, the cell-specific demodulation reference signal is proposed by utilising the inherent asymptotic orthogonality,...
In this paper, a location-based channel estimation algorithm is proposed for massive multi-input multi-output (MIMO) systems. By utilizing the property of the steering vector, a fast Fourier transform (FFT)-based post-processing is introduced after the conventional pilot-aided channel estimation. Under the condition that different users with the same pilot sequence have non-overlapping angle-of-arrivals...
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