# Utility Fair Optimisation of Antenna Tilt Angles in LTE Networks

arXiv: https://arxiv.org/abs/1310.1015 · HTML: https://mlsanity.com/paper/1310.1015/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 3 Oct 2013.

## Built on by (most cited first, 3 of 3)

- [Coordinated Reinforcement Learning for Optimizing Mobile Networks](https://mlsanity.com/paper/2109.15175/) (2021)
- [The Next Decade of Telecommunications Artificial Intelligence](https://mlsanity.com/paper/2101.09163/) (2021)
- [Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation](https://mlsanity.com/paper/2404.19462/) (2024)

## Abstract (arXiv)

We formulate adaptation of antenna tilt angle as a utility fair optimisation task. This optimisation problem is non-convex, but in this paper we show that under reasonable conditions it can be reformulated as a convex optimisation. Using this insight, we develop a lightweight method for finding the optimal antenna tilt angles, making use of measurements which are already available at base stations, and suited to distributed implementation.