Ntougias, Konstantinos

English

The use of multi-cell multi-user MIMO technologies as underlay spectrum sharing enablers promises substantial spectral efficiency gains, extension of the available spectrum, and provision of QoS guarantees. In this dissertation, we derive and comparatively evaluate via an extended set of numerical simulations various resource allocation techniques for coordinated multi-point and massive MIMO setups that coexist with incumbent systems. These include coordinated linear precoding schemes and corresponding optimal coordinated QoS-aware power allocation methods, heuristic and greedy coordinated user selection algorithms, simple yet efficient dynamic cell clustering techniques, coordinated caching strategies and statistic-based caching schemes for cache-aided joint transmission, coordinated codeword-level and symbol-level precoding methods for nodes equipped with load-controlled antenna arrays as well as a beam selection and precoding alternative, and a hybrid precoding / combining method achieved via stochastic approximation with Gaussian smoothing for millimeter-wave massive MIMO links. This study sheds light on the effect of various parameters on the performance of these techniques, provides design guidelines, and paves the way for the efficient use of the spectrum in 5G systems via an integrated multi-cell MIMO / licensed shared access (LSA) paradigm

Efficient Resource Allocation and Spectrum Utilisation in Licensed Shared Access Systems

https://vbn.aau.dk/ws/files/319213604/PHD_Konstantinos_Ntougias_E_pdf.pdf

Efficient Resource Allocation and Spectrum Utilisation in Licensed Shared Access Systems

Abstract

Similar works

Full text

Available Versions

VBN