Grant-Free Access for Massive IoT Based on Interference Cancellation and Massive MIMO

Mirri, Alessandro (2022) Grant-Free Access for Massive IoT Based on Interference Cancellation and Massive MIMO. [Laurea magistrale], Università di Bologna, Corso di Studio in Ingegneria elettronica e telecomunicazioni per l'energia [LM-DM270] - Cesena, Documento full-text non disponibile
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Recent years have witnessed an increasing evolution of wireless mobile networks, with an intensive research work aimed at developing new efficient techniques for the future 6G standards. In the framework of massive machine-type communication (mMTC), emerging Internet of Things (IoT) applications, in which sensor nodes and smart devices transmit unpredictably and sporadically short data packets without coordination, are gaining an increasing interest. In this work, new medium access control (MAC) protocols for massive IoT, capable of supporting a non-instantaneous feedback from the receiver, are studied. These schemes guarantee an high time for the acknowledgment (ACK) messages to the base station (BS), without a significant performance loss. Then, an error floor analysis of the considered protocols is performed in order to obtain useful guidelines for the system design. Furthermore, non-orthogonal multiple access (NOMA) coded random access (CRA) schemes based on power domain are here developed. The introduction of power diversity permits to solve more packet collision at the physical (PHY) layer, with an important reduction of the packet loss rate (PLR) in comparison to the number of active users in the system. The proposed solutions aim to improve the actual grant-free protocols, respecting the stringent constraints of scalability, reliability and latency requested by 6G networks.

Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
Mirri, Alessandro
Relatore della tesi
Correlatore della tesi
Corso di studio
Ordinamento Cds
Parole chiave
Internet of Things,Massive MIMO,Successive Interference Cancellation,Spaced Spatial Coupling,Power Unbalance
Data di discussione della Tesi
24 Novembre 2022

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