Ad Hoc Wireless Networks With QoS Guarntees For LTE Femtocell-Macrocell Networks
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Abstract
LTE analysis is this thesis' goal. Femtocell Network Implementation Indoor data traffic is predicted to dominate future data traffic. Using macrocellular coverage in high-traffic areas is difficult and expensive. Femtocells, low-power cellular base stations, can improve coverage and data throughput. A connected femtocell-macrocell network improves coverage, QoS, cost, and energy efficiency. In an integrated network, the number of Femtocell Access Points (FAPs) and macrocell-femtocell interference must be considered to ensure service quality. Control transfer, interference management, and resource allocation affect service quality. A seamless transition between macrocell and femtocell networks ensures service quality. Due to their small size, femtocells may handover often. Thus, effective decision methods are needed for smooth macrocell-femtocell transitions. One handover selection technique for macrocells to femtocells and another for femtocells to macrocells is provided. These algorithms consider numerous parameters, including UE velocity and RSS strength. Boosting throughput and spectrum efficiency while lowering packet loss ratio, handover latency, and packet delay can improve quality of service. Several quality of service measures were used to evaluate the handover strategy. LTE-compatible MANETs are another option. MANET topology management and routing techniques were studied in this work. GPSR routing and Boos flock topology management were used to build the network. Simulations are done using MatLab's "MONSTeR" model. The model is built with MatLab LTE system tools. Anyone can use the model on GitHub. This power-saving approach also affects user QoE in throughput and retransmissions. By training, testing, and validating our models using the KDD Cup 2015 dataset, we may improve femtocell networks employing mobile ad hoc network communication. The data show that switching from "always-on" to "on-when-needed" may sustain QoE
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