Thesis Detail
This dissertation is focused on the analysis of radio resource management techniques on LTE-Advanced cellular networks. In particular, two types of resource management techniques are addressed: rst, the analysis focuses on radio resource scheduling algorithms; secondly, those techniques oriented to inter-cell interference management on cellular networks have been analyzed. Starting with the radio resource scheduling, several algorithms that take into account delay requirements have been analyzed. In addition, the fairness among users for a Proportional Fair (PF) algorithm with signal-to-noise ratio (SNR) criterion was analyzed against the transmission rate criterion, obtaining closed-form expressions for the per user and system SNR distributions for the latter case. It has been shown that there are notable dierences in terms of probability distribution associated with the per user and per system SNR. Finally, the resource management for a Cloud Radio Access Network (Cloud-RAN) has been addressed. In particular, the impact of the delay on the H-ARQ report on the user performance has been analyzed. Regarding the interference management techniques, the analysis of the system performance in a cellular deployment based on Fractional Frequency Reuse (FFR) has been done when using dierent resource allocation schemes. A simple method has been proposed to determine the total transmission rate and the optimal partition bandwidth for each resource allocation strategy. In addition, coordinated techniques for interference management have been analyzed when applied from several access points simultaneously. In particular, Joint Transmission (JT) without precoding has been evaluated and compared with the Partial Frequency Reuse (PFR) technique for the case of Machine-to-Machine trac type, showing that PFR technique outperforms JT in terms of delay and average transmission rate. Finally, the Cell Range Expansion (CRE) technique has been studied, evaluating the in uence of the value of the bias associated with the CRE technique on the average performance of a heterogeneous LTE-A network considering dierent base stations densities. Contact Us
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