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Channel And Noise Variance Estimation For Future 5g Cellular Networks, Jorge Iscar Vergara
Channel And Noise Variance Estimation For Future 5g Cellular Networks, Jorge Iscar Vergara
FIU Electronic Theses and Dissertations
Future fifth generation (5G) cellular networks have to cope with the expected ten-fold increase in mobile data traffic between 2015 and 2021. To achieve this goal, new technologies are being considered, including massive multiple-input multiple-output (MIMO) systems and millimeter-wave (mmWave) communications. Massive MIMO involves the use of large antenna array sizes at the base station, while mmWave communications employ frequencies between 30 and 300 GHz. In this thesis we study the impact of these technologies on the performance of channel estimators.
Our results show that the characteristics of the propagation channel at mmWave frequencies improve the channel estimation performance in …
Stochastic Geometry Based Analysis Of Capacity, Mobility And Energy Efficiency For Dense Heterogeneous Networks, Arvind Merwaday
Stochastic Geometry Based Analysis Of Capacity, Mobility And Energy Efficiency For Dense Heterogeneous Networks, Arvind Merwaday
FIU Electronic Theses and Dissertations
In recent years, the increase in the population of mobile users and the advances in computational capabilities of mobile devices have led to an exponentially increasing traffic load on the wireless networks. This trend is foreseen to continue in the future due to the emerging applications such as cellular Internet of things (IoT) and machine type communications (MTC). Since the spectrum resources are limited, the only promising way to keep pace with the future demand is through aggressive spatial reuse of the available spectrum which can be realized in the networks through dense deployment of small cells. There are many …