High-Efficiency Device Positioning and Location-Aware Communications in Dense 5G Networks
Mike Koivisto, Aki Hakkarainen, M\'ario Costa, Petteri Kela, Kari, Lepp\"anen, and Mikko Valkama

TL;DR
This paper reviews how high-precision device positioning in dense 5G networks can enable efficient, location-aware communications, including beamforming and power savings, through advanced measurement fusion and geometric schemes.
Contribution
It demonstrates the feasibility of sub-meter positioning accuracy in 5G using measurement fusion and explores its application to beamforming and power efficiency.
Findings
Positioning accuracy below one meter achievable with measurement fusion.
Geometric location-based beamforming reduces reference symbol overhead.
Significant power savings possible with narrowband pilots for location tracking.
Abstract
In this article, the prospects and enabling technologies for high-efficiency device positioning and location-aware communications in emerging 5G networks are reviewed. We will first describe some key technical enablers and demonstrate by means of realistic ray-tracing and map based evaluations that positioning accuracies below one meter can be achieved by properly fusing direction and delay related measurements on the network side, even when tracking moving devices. We will then discuss the possibilities and opportunities that such high-efficiency positioning capabilities can offer, not only for location-based services in general, but also for the radio access network itself. In particular, we will demonstrate that geometric location-based beamforming schemes become technically feasible, which can offer substantially reduced reference symbol overhead compared to classical full channel…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
