AG Kommunikationstheorie


Minimum Cost Network Planning with the Application of Self-Interference Cancellation on Wireless Backhaul Links


Due to massive universal development in communication technology the data traffic is increasing at an unprecedented pace which is resulting in demand for additional network capacity. This has opened up development in the new transmission technologies and system architectures with an attempt to meet the needs for bandwidth-intensive services. Massive deployment of small cells will be a key feature of emerging cellular networks. Subsequently, efficient forwarding of backhaul traffic to/from small cell networks with minimum cost will be a significant challenge. On the other hand, Full-duplex radio technology is becoming more popular and holds potential to boost the spectrum efficiency of a point-to-point wireless link. The main work of this thesis focuses on minimizing the total cost by efficient dimensioning of wireless backhaul networks with access to full-duplex gains. Wireless backhaul is the use of wireless communications systems at the intermediate links between the core network, or backbone network and the access networks. We introduce the formulation and implementation of two iterative optimization models, Opti-model and Mixed-Integer Linear programming (MILP) model. The objective is to allocate resource and power efficiently, integration of wireless and pre-existing link technologies and self-interference cancellation capabilities to fulfil the rate requirement at each backhaul node. The analysis derives comparison within and between the two models for the total cost of backhaul network as a function of self-interference range, variable rate requirements and network density.

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