# Joint Power Control and Time Division to Improve Spectral Efficiency in Dense Wi-Fi Networks

## TL;DR

This paper introduces a joint power control and time scheduling algorithm for dense Wi-Fi networks that enhances spectral efficiency and fairness by mitigating interference through an optimal global optimization approach.

## Contribution

It presents a novel joint power and time control algorithm based on branch-and-bound optimization, specifically designed for dense Wi-Fi environments to improve throughput and fairness.

## Key findings

- Significant increase in network throughput.
- Maintains fairness among users.
- Guarantees optimality with user-defined accuracy.

## Abstract

Ubiquitous densification of wireless networks has brought up the issue of inter-and intra-cell interference. Interference significantly degrades network throughput and leads to unfair channel resource usage, especially in Wi-Fi networks, where even a low interfering signal from a hidden station may cause collisions or block channel access as it is based on carrier sensing. In the paper, we propose a joint power control and channel time scheduling algorithm for such networks, which significantly increases overall network throughput while maintaining fairness. The algorithm is based on branch-and-bound global optimization technique and guarantees that the solution is optimal with user-defined accuracy.