Sökning: "Erik G. Larsson"
Visar resultat 6 - 10 av 49 avhandlingar innehållade orden Erik G. Larsson.
6. Analysis of Cellular and Cell-Free Massive MIMO with Rician Fading
Sammanfattning : The data traffic in cellular networks has grown at an exponential pace for decades. This trend will most probably continue in the future, driven by new innovative applications. One of the key enablers of future cellular networks is the massive MIMO technology. A massive MIMO base station is equipped with a massive number (e. LÄS MER
7. Cell-Free Massive MIMO : Scalability, Signal Processing and Power Control
Sammanfattning : The fifth generation of mobile communication systems (5G) is nowadays a reality. 5G networks are been deployed all over the world, and the first 5G-capable devices (e.g., smartphones, tablets, wearable, etc. LÄS MER
8. The MISO Interference Channel as a Model for Non-Orthogonal Spectrum Sharing
Sammanfattning : The demand for wireless communications services has increased during the last decades. To meet this demand, there is a need for allocating larger frequency bands. However, most of the frequency bands (or spectrum) suitable for wireless communication are occupied and allocated to licensed systems. LÄS MER
9. Signal Processing Aspects of Massive MIMO and IRS-Aided Communications
Sammanfattning : The data traffic in cellular networks has grown at an exponential pace for decades. This trend will most probably continue in the future, driven by new innovative applications. One of the key enablers of future cellular networks is the massive MIMO technology, and it has been started to be commercially deployed in many countries. LÄS MER
10. On Aggregation and Dynamics of Opinions in Complex Networks
Sammanfattning : This thesis studies two problems defined on complex networks, of which the first explores a conceivable extension of structural balance theory and the other concerns convergence issues in opinion dynamics. In the first half of the thesis we discuss possible definitions of structural balance conditions in a network with preference orderings as node attributes. LÄS MER