Tahmineh Javadzadeh
Performance evaluation and design of ML-based solutions for the support of mobile services in 5G systems.
Rel. Carla Fabiana Chiasserini, Claudio Ettore Casetti. Politecnico di Torino, Corso di laurea magistrale in Communications And Computer Networks Engineering (Ingegneria Telematica E Delle Comunicazioni), 2021
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Abstract
The vision of the fifth generation of mobile networks (5G) lies in bringing enhanced performances with respect to the previous mobile technologies. 5G has been planned to provide revolutionary high throughput, extremely low latency, for miscellaneous devices with massive and ubiquitous connections. To achieve these goals, many advanced technologies have been introduced and utilized in 5G, like massive MIMO, mmWave, efficient Radio Resource Management (RRM) techniques, etc. Among all, an efficient RRM could have a significant impact on effective spectrum utilization, massive connections. One thriving solution is represented by virtual Radio Access Network (vRAN) technology and is profitable in terms of cost and scalability for the mobile network operators.
Indeed, in virtualizing the RAN, radio processing intelligence, which was initially performed by purpose-built hardware, will be performed at higher levels of the network
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