Jospeh DOUMIT Thesis defense

As the Internet of Things (IoT) expands to include billions of connected devices, it is set to become a major influencer in the development of future wireless communication networks. This expansion is not only about quantity but also it is expected to diversify the kinds of applications these networks handle moving beyond traditional multimedia services. Future wireless networks will be required to deliver higher data rates, increased reliability, low latency, enhanced quality of service (QoS) and greater user capacity. To meet these complex demands, advanced approaches to spectrum access like non-orthogonal multiple access (NOMA), autonomous spectrum management, adaptive network configurations, and reconfigurable intelligent surfaces (RIS)-assisted communications are likely to be employed. The aim of this thesis is to optimize resource allocation and network setup in next- generation networks by leveraging these advanced technologies. Multiple system configurations are considered like heterogeneous types of data traffic and using both terrestrial and aerial RIS-enhanced communications. For every setting studied, we present a NOMA-based solution tailored to its corresponding constraints. Our obtained results suggest that these proposed solutions surpass existing approaches in the literature.