Millimeter-wave massive MIMO channel characterization and modelling for 5G and 6G applications
(2022)
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- Abstract
- In recent years and in the scope of Fifth Generation (5G) and Sixth Generation (6G) technologies, the joint deployment of Massive MIMO (mMIMO) and millimeter waves (mmWave) technologies has shown very promising results in the quest to meet the very high consumer data rate demands. To design real mmWave mMIMO wireless systems and predict their performances under certain conditions, it is imperative to have accurate mmWave mMIMO wireless channel models that capture the key characteristics for different scenarios. Very high gain and directive Transmitting Reconfigurable Intelligent Surface (T-RIS)s with electronic beamscanning capabilities are also expected to be ubiquitous in 5G and 6G wireless communication systems and hence the need to investigate the channel and T-RIS joint effect. This thesis presents different channel characterizations and models for indoor mmWave mMIMO radio propagation channels based on stochastic approaches. Different channel measurement campaigns were carried out in Indoor Laboratory (InLab), Indoor Open Office (InOpOffice), Indoor Mixed Office (InMixOffice), corridors and Indoor Factory (InF) environments. Massive virtual arrays and T-RISs were employed in the channel measurements. Line of Sight (LOS), Obstructed Line of Sight (OLOS) and Non Line of Sight (NLOS) propagation conditions were investigated in these environments. For the large virtual arrays’ measurements, an investigation on the impact of the array size and geometry on the mmWave mMIMO channel characteristics is performed. Spatial channel correlation over the massive array is investigated and Multipath Components (MPCs) are estimated by means of a high resolution detection algorithm. The estimated specular MPCs parameters are then used for further analysis. Dense Multipath Components (DMCs) are quantified. Common MPCs between different sub-arrays of a massive array are identified following a joint temporal, power and angular threshold criterion and their distributions are then analyzed. For the T-RISs’ measurements, an investigation on the T-RISs beamscanning capabilities and the impact of T-RISs beamforming on the indoor mmWave radio channel characteristics is carried out. The T-RISs measurements involve the synthesis of an omnidirectional Power Delay Profile (PDP) in order to extract the critical temporal and spatial characteristics of the MPCs. For the InOpOffice and the InF environments, both the propagation channel and the T-RIS antenna are modelled separately. The T-RIS pattern is then plugged into the propagation channel and the resulting synthesized channel models are compared to the channel models obtained from the actual T-RIS channel measurements. Path loss and delay spread models for the different indoor environments are modelled and discussed. Statistical spatio-temporal channel models are also derived for the different indoor mmWave mMIMO channel measurements (based on the massive arrays as well as the T-RIS).
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Citations
Mudonhi, A. (2022). Millimeter-wave massive MIMO channel characterization and modelling for 5G and 6G applications. https://hdl.handle.net/2078.5/103395