[PDF] Top 20 Joint Channel Estimation Based On Compressive Sensing For Multi-User Massive Mimo-Ofdm Systems

... in Massive MIMO systems, the training and feedback overhead for the acquisition of channel state information (CSI) at the transmitter becomes rather ...of channel estimation, ... See full document

... Coherent massive MIMO systems require channel state information (CSI) at the base station in order to compute linear precoder filters for the downlink and equalization filters for the ...Such ... See full document

... Communication Systems are often categorized as different generations depending on the services ...(FDMA) systems such as the NMT and AMPS (Advanced Mobile Phone ...communication systems such as the ... See full document

... The estimation MSE performance comparison between the conventional NBEAP and the proposed NBEFAP scheme is given in ...better estimation MSE performance even when its pilot length (L=30) is shorter than ... See full document

... a compressive sensing (CS)-based channel estimation technique for asymmetrically clipped optical-orthogonal frequency division multiplexing (ACO-OFDM) visible light ... See full document

... (mmWave) massive multiple-input multiple-output (MIMO) with hybrid precoding is a promising technology for future 5G wireless ...communications. Channel estimation for the millimeter-wave ... See full document

... transmitter-receiver channel links have to be estimated si- multaneously for each ...numerous channel estimation techniques have been proposed for MIMO-OFDM systems, using blind ... See full document

... downlink channel recovery (namely traditional method) and the exact least square (LS) channel estimation which perfectly knows the common support Υ are also included for ...the channel ... See full document

... for MIMO OFDM ...including multi-user detection, channel estimation, space- time processing, heuristic and adaptive optimization, frequency-hopping, MIMO OFDM and ... See full document

... frequency-based channel estimation will lead to high channel overhead, with estimation accuracy greatly re- ...Therefore, channel estimation of sparse channels using CS ... See full document

... and channel distortions was examined and explored to develop a turbo joint channel estimation, synchroniza- tion, and decoding scheme and a vector RLS-based joint CFO, SFO, and ... See full document

... of massive (or large-scale) multiple-input multiple-output (MIMO) and orthogonal frequency division multiplexing (OFDM) is expected to be the key technology for future communications ...in ... See full document

... MU MIMO-OFDM system incorporating iterative channel estimation and ...popular channel estimation algorithms, one based on expectation maximization (EM) [15], and one ... See full document

... CIR: Channel impulse response; CoSaMP: Compressed sampling matching pursuit; CP: Cyclic prefix; CS: Compressed sensing; DFT: Discrete Fourier transform; DPN-OFDM: Dual- PN padded OFDM; IBI: ... See full document

... a massive multiple input multiple output (MIMO). A massive MIMO can be defined as a system using a large number of antennas at the base station; accordingly, a significant beamforming can be ... See full document

... sized MIMO channels have insufficient attributes so viable channel estimation techniques are ...style channel estimation techniques like least-rectangular (LS) calculation , least ... See full document

... communication systems are valuable for efficient trans- ...spectrum sensing to reduce the spectrum idle rate, while compressed sensing technologies are applied to improve utilization efficiency of ... See full document

... the channel is known in advance, however, the sparse degree always cannot be foreseen in practical ...for channel estimation is not as effective as OMP ... See full document

... schemes based on CS has been proposed for wireless sensor networks (WSN) in exploiting raw data compressibility using opportunistic ...These compressive data gathering schemes offers advantages like ... See full document

... A joint estimator of CFO and CIR using the compres- sive sensing (CS) framework is proposed in this ...of OFDM training symbols perturbed by CFO values taken from a search space and with such a ... See full document