Ashish Rauniyar successfully completed his PhD trial lecture and thesis defense at the Department of Informatics, University of Oslo on Tuesday, the 2nd of March 2021 and will be awarded the degree of Doctor of Philosophy.
The title of his thesis is “Exploring and Enhancing Spectral and Energy Efficiency of Non-Orthogonal Multiple Access in Next-Generation IoT Networks” and the given topic for his trial lecture was “Analysis of 5G backbone as fibre replacement in rural areas”.
The next generation of Internet of Things (IoT) networks is expected to meet the capacity demand of billions of IoT devices. Moreover, to provide massive connectivity requirements of IoT sensors and devices and to ameliorate their capacity demands, Non-Orthogonal Multiple Access (NOMA) has been considered as a potential candidate for the 5G and future network. Another key objective of the next generation of IoT network is also to maximize the energy-efficiency. To this end, Simultaneous Wireless Information and Power Transfer (SWIPT) has been contemplated as a viable solution to self-sustainable communication in IoT networks.
In this dissertation, different from the state-of-the-art methods and architectures, we propose and investigate several spectral and energy-efficient NOMA-SWIPT architectures for future IoT networks. We also discuss user pairing issues in NOMA. We propose an adaptive user pairing scheme that shows the capacity enhancement of NOMA systems. Since NOMA is fragile to interference, an energy-efficient distributed power control in NOMA using Reinforcement Learning (RL) based Game Theoretic approach is also proposed. Finally, this dissertation proposes and investigates different models by consolidating direct links to enhance the cooperative NOMA-SWIPT systems’ performance significantly. We believe that the study and results presented in this dissertation might be potentially useful to network operators, researchers, and scientists in the wireless networking community who want to assess NOMA characteristics to design next-generation IoT networks.
The following committee has been appointed to evaluate his thesis, trial lecture and defense:
- First external opponent: Associate Professor Chiara Buratti, Department DEI, University of Bologna, Italy.
- Second external opponent: Professor Ingrid Moerman, Ghent University, Belgium.
- Internal member: Professor Josef Noll, Department of Technology Systems, University of Oslo, Norway.
- Chair of defence: Professor Stephan Oepen, Department of Informatics, UiO.
Ashish Rauniyar carried out his PhD work at the Department of Informatics, University of Oslo.
His main supervisor was Professor Paal Engelstad, Department of Technology Systems, UiO and co-supervisor Senior Researcher Olav Norvald Østerbrø, Telenor.