Reducing Computational Complexity for the 3GPP TR 38.901 MIMO Channel Model
Egor Endovitskiy, Aleksey Kureev, Evgeny Khorov
Abstract
The development of new resource allocation algorithms boosting the performance of wireless networks for emerging applications and services requires fast and accurate system-level simulations that consider the peculiarities of traffic and massive multiple input multiple output (MIMO) in mobile scenarios. The efficiency of these algorithms depends on how well the algorithms exploit various effects in channel evolution to serve packets in time. The existing channel models are either too simple to reproduce significant effects observed in reality or — in contrast — too complicated to allow thorough multi-parametric investigation with multiple long runs for statistically significant results. This letter evaluates easy-to-implement approaches to manifold accelerate the computation of the 3GPP TR 38.901 channel model without notable impact on the observed effects.