Evaluación del rendimiento de la red 5G con diferentes implementaciones de sistemas de antenas distribuidas en mmW para zonas de alto tráfico en interiores

[ES] En la banda de mmW donde la cobertura es limitada, la implementación de cada transmisor exactamente donde se necesita se vuelve más crítica que nunca. Además, el número de dispositivos que se implementarán es mucho mayor que en frecuencias más bajas. En este marco, este trabajo final de grado tiene como objetivo evaluar cuáles son las mejores distribuciones de antenas de acuerdo con los requisitos de la red en banda mmW y considerando la simplicidad en la implementación práctica.[EN] In the mmW band where coverage is limited, deploying each transmitter exactly where it is needed becomes more critical than ever. In addition, the number of devices to be deployed is much higher than at lower frequencies. In this framework, this project aims to evaluate which are the best antenna distributions according to the requirements of the mmW network and considering the simplicity in practical deployment.Antón Ruiz, A. (2020). Evaluación del rendimiento de la red 5G con diferentes implementaciones de sistemas de antenas distribuidas en mmW para zonas de alto tráfico en interiores. http://hdl.handle.net/10251/152387TFG

Analysis of millimeter wave and massive MIMO cellular networks

Millimeter wave (mmWave) communication and massive multiple-input multiple-output (MIMO) are promising techniques to increase system capacity in 5G cellular networks. The prior frameworks for conventional cellular systems do not directly apply to analyze mmWave or massive MIMO networks, as (i) mmWave cellular networks differ in the different propagation conditions and hardware constraints; and (ii) with a order of magnitude more antennas than conventional multi-user MIMO systems, massive MIMO systems will be operated in time-division duplex (TDD) mode, which renders pilot contamination a primary limiting factor. In this dissertation, I develop stochastic geometry frameworks to analyze the system-level performance of mmWave, sub-6 GHz massive MIMO, and mmWave massive MIMO cellular networks. The proposed models capture the key features of each technique, and allow for tractable signal-to-interference-plus-noise ratio (SINR) and rate analyses. In the first contribution, I develop an mmWave cellular network model that incorporates the blockage effect and directional beamforming, and analyze the SINR and rate distributions as functions of the base station density, blockage parameters, and antenna geometry. The analytical results demonstrate that with a sufficiently dense base station deployment, mmWave cellular networks are capable to achieve comparable SINR coverage and much higher rates than conventional networks. In my second contribution, I analyze the uplink SINR and rate in sub-6 GHz massive MIMO networks with the incorporation of pilot contamination and fractional power control. Based on the analysis, I show scaling laws between the number of antennas and scheduled users per cell that maintain the uplink signal-to-interference ratio (SIR) distributions are different for maximum ratio combining (MRC) and zero-forcing (ZF) receivers. In my third contribution, I extend the sub-6 GHz massive MIMO model to mmWave frequencies, by incorporating key mmWave features. I leverage the proposed model to investigate the asymptotic SINR performance, when the number of antennas goes to infinity. Numerical results show that mmWave massive MIMO outperforms its sub-6 GHz counterpart in cell throughput with a dense base station deployment, while the reverse can be true with a low base station density.Electrical and Computer Engineerin

Favorable Propagation with User Cluster Sharing

We examine the favorable propagation (FP) behavior of a massive multi-user multiple-input-multiple-output (MU-MIMO) system equipped with a uniform linear array (ULA), horizontal uniform rectangular array (HURA) or uniform circular array (UCA) using a ray-based channel model with user cluster sharing. We demonstrate FP for these systems and provide analytical expressions for the mean-squared distance (MSD) of the FP metric from its large-system limit for each of the aforementioned topologies. We use these results to examine the detrimental effects of user cluster sharing on FP behavior, and demonstrate the superior performance of the ULA as compared to the UCA and the HURA with equal inter-element spacing. Although cluster sharing has a negative impact on FP for finite arrays, we additionally examine the asymptotic rate of convergence to FP as a function of array size and show that this rate is unchanged with or without user cluster sharing.Comment: 7 pages, 3 figures, Accepted for publication in IEEE PIMRC 202