Methods for Finite Massive MIMO Analysis
Doctoral thesis
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https://hdl.handle.net/11250/2988980Utgivelsesdato
2022Metadata
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Sammendrag
Massive MIMO is a core technology for 5G cellular networks, that matured from a concept to commercial implementations over the last decade. It uses large-scale antenna systems to provide unprecedented access to the spatial domain of the radio propagation environment. This allows to exchange information with multiple users in the same time-frequency resource.
The work, summarised in this thesis, focuses on the performance of base stations with finite size antenna arrays. Specifically the service for non-average users is considered. To that extend, complete statistical distributions of the precoded or combined channel are used to describe the full performance range. The provided methods describe how the remaining small-scale fading can be quantified and compensated for. Moreover, an analysis of the gain gap between broadcast of synchronisation information and user-oriented traffic is provided. Even correlation between antenna elements based on their position, orientation and propagation environment can be considered. The results of this thesis enable insightful performance trade-offs of massive MIMO base stations in real world deployments.
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Paper J1: Ghiaasi, Golsa; Abraham, Jens; Eide, Egil; Ekman, Torbjörn. Effective Channel Hardening in an Indoor Multiband Scenario. International Journal of Wireless Information Networks 2019 s. 1-13 https://doi.org/10.1007/s10776-019-00438-7 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0)Paper C1: Abraham, Jens; Ekman, Torbjörn. Power Inversion of the Massive MIMO Channel. 9th joint WIC IEEE SP Symposium on Information Theory and signal Processing in the Benelux https://doi.org/10.48550/arXiv.1905.07555
Paper C2: Abraham, Jens; Ekman, Torbjörn. Achievable Synchronisation Gain In Uncalibrated Large Scale Antenna Systems. 14th European Conference on Antennas and Propagation (EuCAP) https://ieeexplore.ieee.org/document/9136063/ © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Paper C3: Abraham, Jens; Ekman, Torbjörn. Fading Margins for Large-Scale Antenna Systems. ICC 2021 - IEEE International Conference on Communications https://ieeexplore.ieee.org/document/9500328 © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Paper C4: Abraham, Jens; Ekman, Torbjörn. Local Diversity and Ultra-Reliable Antenna Arrays. 55th Asilomar Conference on Signals, Systems and Computers https://doi.org/10.48550/arXiv.2108.00712
Paper J2: Abraham, Jens; Ramírez-Espinosa, Pablo; Ekman, Torbjörn. Statistics of the Effective Massive MIMO Channel in Correlated Rician Fading. IEEE Open Journal of Antennas and Propagation 2022 ;Volum 3. s. 238-248 https://ieeexplore.ieee.org/document/9695960 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0)