14:20 - 15:20 | Fri 17 Mar | Main Room | K5
Massive Multiple-Input Multiple-Output (MIMO) communications uses a large number of antennas at the base station to increase the data rate and user density in future wireless systems. For simulation, it has become common practice to use simple i.i.d. complex Gaussian matrix entries to obtain a good average MIMO channel behavior; more refined models have been devised and proposed to standardization bodies. Yet, channel modeling remains an active area of research, as current models tend to be, still, quite limited, e.g., when it comes to evaluating clustering algorithms (orthogonality regions, e.g. for concurrency scheduling of users), which is an essential concept in massive MIMO precoding. We look at different existing models and present some initial measurement results, leading to further ideas for improving channel modelling.
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