Efficient Resource Allocation and Spectrum Utilisation in Licensed Shared Access Systems

Konstantinos Ntougias

Research output: PhD thesis

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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.
Original languageEnglish
  • Sørensen, Troels Bundgaard, Principal supervisor
Electronic ISBNs978-87-7210-502-4
Publication statusPublished - 2020

Bibliographical note

PhD supervisor:
Associate Professor Troels Bundgaard Sørensen, Aalborg University


  • Coordinated precoding
  • Joint transmission
  • Resource allocation
  • Massive MIMO
  • Coordinated caching
  • Spectrum sharing
  • Licensed Shared Access
  • Hybrid precoding
  • Load-Controlled Parasitic Antenna Arrays
  • Millimeter-wave spectrum


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