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Massive multiple-input multiple-output (MIMO) is a promising technology in the next 5G communications. Directly merging massive MIMO with cloud radio access network (C-RAN) systems will cause disastrous link data overload, which greatly exceeds the limitation of current 4G wireless standards. To solve this problem, we propose a pre-filtering C-RAN architecture in this paper to compress the inter connection...
Superposition coding (SC) is a nonorthogonal scheme for downlink communications, in which all users are allowed to use the full degrees of freedom of the channel and successive interference cancellation (SIC) is adopted for user decoding. Combining SC with orthogonal frequency-division multiplexing (OFDM) modulation, the optimal resource allocation depends on the perfect channel state information...
Channel variations caused by motility would introduce inter-carrier interference (ICI), which degrades channel estimation and data detection in underwater orthogonal frequency division multiplexing (OFDM) systems. To deal with this problem, a joint time-varying channel estimation and inter-carrier interference mitigation method is proposed in this paper, where time domain channel estimation and interference...
The underwater acoustic channel is very complex where Doppler frequency offsets, narrow bandwidth, serious multi-path time delay interference and frequency selective deep fading obstruct the development of high speed and fidelity underwater data transmissions. Orthogonal Frequency Division Multiplexing (OFDM) is a kind of novel paralleling transmission technology. In this paper, we mainly discuss...
The Vertical Bell Laboratories Layered Space-Time (V-BLAST) system can provide high capacity over rich scattering channel. The conventional minimum mean square error (MMSE) detection for V-BLAST is not suitable for time-varying channel due to high complexity. In the paper, we proposed an adaptive detection algorithm, which combines maximum likelihood (ML) channel estimator and least mean squares (LMS)...
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