TY - GEN
T1 - Efficient Resource Allocation and Spectrum Utilisation in Licensed Shared Access Systems
AU - Ntougias, Konstantinos
N1 - PhD supervisor:
Associate Professor Troels Bundgaard Sørensen, Aalborg University
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Coordinated precoding
KW - Joint transmission
KW - Resource allocation
KW - Massive MIMO
KW - Coordinated caching
KW - Spectrum sharing
KW - Licensed Shared Access
KW - Hybrid precoding
KW - Load-Controlled Parasitic Antenna Arrays
KW - Millimeter-wave spectrum
M3 - PhD thesis
T3 - Ph.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet
PB - Aalborg Universitetsforlag
ER -