University of Twente Student Theses


Planning Self-Backhauled mmWave Networks with Multi-Connectivity

Dekker, A.P. (2021) Planning Self-Backhauled mmWave Networks with Multi-Connectivity.

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Abstract:In this thesis, we study the Cell Planning (CP) problem for mmWave using both MCo and self-backhauling. We design a computationally efficient mmWave cell planning algorithm to run simulations. The algorithm uses a greedy approach to deploy BSs, and adds optimization phases. Optimization is done for two objectives. First and foremost, the deployment costs are minimized. Next, without increasing the costs, the BSs are placed such that the chances of multiple simultaneous link blockages are reduced, providing access reliability. We plan the network such that each test point is covered by at least K BSs, of which at least one has a fiber backhaul. The simulations resulted in the following design insights. First, an environment with less static blockages enables better access reliability. On the other hand, when many static blockages are present, access reliability is dramatically decreased when the number of links provided to each test point is increased. Next, using self-backhauling with MCo provides flexibility to increase access reliability without increasing the system costs. Additionally, using self-backhauling with MCo does not significantly increase the number of required BSs with a fiber backhaul. Finally, we conclude that using self-backhauling is a cost-effective approach for mmWave CP with multi-connectivity.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science MSc (60300)
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