[PDF] Top 20 Sparse massive MIMO OFDM channel estimation based on compressed sensing over frequency offset environment

... In massive MIMO-OFDM systems, channel estimation is a significant module which can be utilized to eliminate multipath ...carrier frequency offset (CFO), which often exists ... See full document

... for sparse channel estimation as it can recovery the original channel frequency domain response with high probability, but it may also cause the large pilot overhead with the increase ... See full document

... for sparse channel esti- mation can broadly be categorized into two types, namely the most significant tap (MST) detection and compressed channel sensing ...a channel tap was ... 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

... categorized based on their abilities and their potential at work such as higher Mobile Bandwidth, Ultra-Reliable Low Latency Communication systems employed with reduced ...resources based on time and ... See full document

... scenarios. OFDM, known as a striking technique for the communication of the high-bit-rate data, has been investigated as a candidate for the next generation wireless communication for conflicting the ... See full document

... for massive MIMO systems, which can be divided into two broad ...Low-rank channel covariance matrices based methods, such as [22–24]—the finite scattering environment and small angular ... See full document

... of channel state information (CSI) [4, 5]. Pilot- aided channel estimation suffers from bandwidth effi- ciency which is very essential for the high-rate com- ...pilot-aided channel ... See full document

... The channel estimation problem in multi-input-multi-output orthogonal frequency division multiplexing (MIMO-OFDM) systems is due to multipath delay spread and high sampling rate is ... See full document

... As discussed about a delay  being incurred at the central coordinator in the reception of the sequences transmitted by each stations due to their physical separation. The method proposed here has been found to produce ... See full document

... pilot, compressed sensing has been extensively studied for massive MIMO system ...reconstructing channel state based on training sequences is suitable for multipath ... See full document

... The channel impulse response (CIR) of several outdoor radio propagation environments tends to be sparse in nature ...communication environment with distant dominant scatterers, as shown in ...a ... See full document

... accurate channel state information (CSI) at the base station (BS) is essential to achieve the potential benefits of massive multiple input multiple output (MIMO) ...that compressed ... See full document

... sive sensing (CS) framework is proposed in this ...is sparse, only a few entries of the signal are nonzero, the perfect reconstruction of the unknown signal is possible even if the system is under- ... See full document

... is based on the JSM-1 model, the proportion of common and separate sparse paths in the channel will influence the chan- nel estimation ...common sparse multipath increases, the ... See full document

... the channel tap is better than the commotion sufficiency, just so for each emphasis of the calculation, The thing amplitudes Ts creates a bigger tempo of progress; and the issue earlier than this function will ... See full document

... orthogonal frequency division multiplexing (MIMO-OFDM) is a remedial solution for next generation wireless local area networks (WLANs), wireless metropolitan area networks (WMANs), and ... See full document

... orthogonal frequency-division multiplexing (OFDM) systems with carrier frequency offset and channel estimation errors is analyzed in this ...residual frequency offsets are ... See full document

... SISO-OFDM channel estimation using blind and pilot based methods for Rayleigh fading channel have been ...the MIMO-OFDM channel estimation using blind and ... See full document

... During the experiment, each transmission file was trans- mitted twice every four hours, leading to 12 transmissions each day. A total of 124 data sets were successfully recorded on each array within 13 days from the ... See full document