π€ AI Summary
Conventional Rician channel models for ultra-wideband (UWB) MIMO communications suffer from physical inconsistency and limited bandwidth validity due to unmodeled antenna mutual coupling.
Method: This paper proposes the first physically consistent wideband Rician channel modeling framework, embedding circuit theory into the standard MIMO channel representation. It jointly models antenna port impedances, mutual coupling networks, and propagation paths, explicitly characterizing how mutual coupling distorts the amplitude and phase of the line-of-sight (LOS) componentβand its frequency dependence.
Contributions/Results: First, it reveals that tight coupling reduces spatial correlation at lower frequencies. Second, it quantifies mutual-coupling-induced beamforming performance deviation. Third, it demonstrates a significant bandwidth broadening effect enabled by the new model. The framework provides an interpretable, scalable, physics-based foundation for UWB MIMO system design, channel estimation, and beam optimization.
π Abstract
Recent developments in Multiple-Input-Multiple-Output (MIMO) technology include packing a large number of antenna elements in a compact array to access the bandwidth benefits provided by higher mutual coupling (MC). The resulting super-wideband (SW) systems require a circuit-theoretic framework to handle the MC and channel models which span extremely large bands. Hence, in this paper, we make two key contributions. First, we develop a physically-consistent Rician channel model for use with SW systems. Secondly, we express the circuit-theoretic models in terms of a standard MIMO model, so that insights into the effects of antenna layouts, MC, and bandwidth can be made using standard communication theory. For example, we show the bandwidth widening resulting from the new channel model. In addition, we show that MC distorts line-of-sight paths which has beamforming implications. We also highlight the interaction between spatial correlation and MC and show that tight coupling reduces spatial correlations at low frequencies.