AG Kommunikationstheorie

Thema:

Optimization and evaluation of wireless backhaul networks with full-duplex modes

Abstract:

With the recent technological advents and rising trend of wireless devices, the need of wireless data has increased exponentially. The next generation of network are demanding very high capacity support because of latest demands from technologies like internet of things, connected cars, augmented reality, machine to machine communication. Upcoming 5G network technology is aiming to support the communication between devices in every field of technology to form a connected world. To quench this thirst of very high data rate, plans of developing small cells under the macro cell, upgrading the access network, is already proven to support such high capacity of data at the access network. The stress to support this massive data to/fro access network and core network has moved towards the backhaul network. Full-duplex radios has been the recent hot topic of the on-going research and with the boon of technology of antennas, the possibility to implement fullduplex antennas is near to practical implementation. In this thesis, a planning framework has been proposed addressing the various aspects of planning the backhaul network. The radio access network is getting denser and denser in order to support high data rate at small cell scale. This has given rise to implementation of backbone networks which could connect these small cells. One of the very important step in building backbone networks is backhaul network. Wireless backhaul network offers a easily deployable solution to address this issue. The framework proposed in this thesis supports the joint planning of links, frequencies, power allocation and backhaul node planning. A cost dependent optimization model is proposed which jointly considers the network parameters like uplink and downlink capacity requirements along with the focus on the channel characteristics. A retuning algorithm is formed which dynamically adapts to varying network parameters and optimizes the power consumption of the backhaul network satisfying the network demands. The evaluation is performed by taking the real wireless channel properties into account.

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