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It is necessary to study the spatial evolution of clusters in massive multiple-input multiple-output (MIMO) mobile channel, which is one of the important features in cluster-based models. In this paper, we analyze the data collected from the massive MIMO mobile measurement campaign, with a 256-element virtual array at 3.5 GHz in line of sight (LoS) and non line of sight (NLoS) conditions, respectively...
This paper shows the variation of clusters with the increasing number of antennas. The data was collected from the massive MIMO mobile measurement at 3.5 GHz, in line of sight (LoS) and non line of sight (NLoS) conditions, respectively. And the virtual measurement method is used to form the 64-element, 128-element and 256-element virtual antenna array from the 32-element antenna array. After estimating...
This paper considers the uplink of a single-cell large-scale multiuser multiple-input multiple-output (MU-MIMO) system. The transmitted data is detected by linear receivers at the base station (BS), that is, maximum ratio combining (MRC), zero-forcing (ZF) and minimum mean square error (MMSE). New non-asymptotic outage expressions that are valid for any number of BS antennas are derived. It is shown...
We propose an adaptive iterative layered space-frequency equalization (AILSFE) structure for multiple-input multiple-output (MIMO) time-varying frequency selective channels, which incorporates iterative frequency-domain equalization (FDE) with hybrid interference cancellation. It is shown that AILSFE significantly outperforms the previously proposed LSFE with a modest increase of complexity, and can...
Massive MIMO has been identified as one of the promising disruptive air interface technologies to address the massive capacity requirement demanded by 5G wireless communications. Most of the existing works showed different benefits of massive MIMO system but for the co-located deployment scenario. In this paper, we are interested to find out extra benefits that may be brought by distributing the massive...
Literatures on precoding for massive MIMO, one disruptive technology for enabling 5G, have been mainly about metrics such as capacity and peak-to-average reduction. But for practical systems, block error rate (BLER) is one essential parameter that decides whether the system can work properly. In this work, we consider BLER of different precoding methods, and find that when applied to OFDM based massive...
We propose an adaptive frequency-domain channel estimator based on Kalman smoothing for uplink multiple input multiple output (MIMO) orthogonal frequency division multiplexing access (OFDMA) systems. The application of Kalman smoothing in frequency-domain channel estimation results in a much lower computational complexity than time-domain estimation approaches. Channel interpolation is employed to...
We investigate soft-input Turbo channel estimation for multiple-input-multiple-output (MIMO) systems with single-carrier (SC) frequency-domain equalization (FDE), based on the Kalman filtering and normalized recursive least-squares (NRLS) criteria. Under each criterion, structured channel estimation (SCE) is developed, which exploits the correlation between adjacent frequency bins, and achieves a...
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