Mobility Aware Path Selection for Millimeterwave 5G Networks in the Presence of Obstacles

Document Type

Conference Article

Publication Title

Communications in Computer and Information Science

Abstract

An often overlooked metric in millimeterwave communication is the so-called stability of assigned links. Links can fail due to obstacles (both static and dynamic), and user mobility. Handling static obstacles is easy; the challenge comes in tracking dynamic obstacles which may impede transmission in the near future. Most works in literature track dynamic obstacles by using additionally deployed hardware like radars and cameras, which add to deployment cost. Our approach requires no such additional hardware. We handle multiple static obstacles, and a single dynamic obstacle, to allocate stable transmission paths which are unlikely to break in the near future. We then adopt a holistic approach to the problem of transmission path allocation, by assigning paths that are estimated to be active for the longest possible time, albeit at the cost of some individual throughput. In other words, we do not always select the best link based on instantaneous system parameters; rather, we can counter-intuitively choose slower, but more stable links. To achieve this, we consider user mobility, and obstacles which may cause links to fail prematurely. We demonstrate the accuracy with which dynamic obstacle trajectories can be captured by our proposed approach. By further simulation studies, we show that our approach leads to the assignment of more stable links as compared to the traditional received signal strength based greedy approach.

First Page

67

Last Page

80

DOI

10.1007/978-3-031-35299-7_6

Publication Date

1-1-2023

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