# Joint Power and Admission Control based on Channel Distribution Information: A Novel Two-Timescale Approach

## TL;DR

This paper introduces a two-timescale joint power and admission control method using channel distribution information, employing chance constraints and a convex approximation algorithm to improve network reliability and efficiency.

## Contribution

It proposes a novel two-timescale approach for JPAC that separates admission control and power adaptation, utilizing chance constraints and a convex deflation algorithm based on CDI.

## Key findings

- The proposed algorithm effectively manages SINR outage probability.
- Simulation results demonstrate improved network performance.
- The method efficiently handles large-scale channel distribution data.

## Abstract

In this letter, we consider the joint power and admission control (JPAC) problem by assuming that only the channel distribution information (CDI) is available. Under this assumption, we formulate a new chance (probabilistic) constrained JPAC problem, where the signal to interference plus noise ratio (SINR) outage probability of the supported links is enforced to be not greater than a prespecified tolerance. To efficiently deal with the chance SINR constraint, we employ the sample approximation method to convert them into finitely many linear constraints. Then, we propose a convex approximation based deflation algorithm for solving the sample approximation JPAC problem. Compared to the existing works, this letter proposes a novel two-timescale JPAC approach, where admission control is performed by the proposed deflation algorithm based on the CDI in a large timescale and transmission power is adapted instantly with fast fadings in a small timescale. The effectiveness of the proposed algorithm is illustrated by simulations.