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Geometry-based stochastic model (GBSM) of multiple input multiple output (MIMO) channel describes the channel impulse response (CIR) in the sense of rays and clusters, which obey the empirical distributions. Thus, the correlation between MIMO sub-channels is not explicitly defined, which makes it difficult for GBSM to predict channel capacity accurately. Facing the increased antenna number of massive...
In the last decade, Nakagami fading shows good performance in matching measurement data under many scenarios, i.e., vehicle-to-vehicle (V2V), mobile-to-mobile (M2M) and indoor. However, little research has been done for generating of spatial-temporal correlated MIMO Nakagami fading. In this paper, we propose a generalized and accurate algorithm to generate Nakagami-m envelope channels with arbitrary...
In this paper, an implementable channel quantization scheme that can effectively exploit both spatial and temporal channel correlation for massive MIMO systems is proposed. In limited feedback systems, differential quantization conducted by applying skewing and rotations on a differential codebook is effective on improving the overhead efficiency practically. To apply these techniques in massive MIMO...
Based on the channel measurement in a typical indoor environment, wideband multi-input multi-output (MIMO) channel capacity analysis result is reported in this paper. A series of non line-of-sight (NLOS) and LOS measurement positions are planned for capacity comparison in different propagation conditions. For fixed received signal-to-noise ratio (SNR), slight average capacity loss in LOS cases is...
In this paper, measurement data from wideband multiple-input multiple-output (MIMO) channel measurements at 2.35 GHz are presented. Measurements were preformed in indoor hotspot scenario with no line of sight (NLOS). Space-alternating generalized expectation (SAGE) algorithm was utilized to estimate angular domain parameters and powers of multipath components (MPCs), which are then used to compute...
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