# A Joint Solution for Scheduling and Precoding in Multiuser MISO Downlink Channels

## TL;DR

This paper introduces a novel joint optimization framework for scheduling and precoding in multiuser MISO downlink channels, significantly improving performance over existing separate designs.

## Contribution

It formulates a new optimization approach that jointly updates scheduling and precoding, revealing convex/concave structures for key criteria and proposing an iterative algorithm.

## Key findings

- Joint solution outperforms state-of-the-art methods in simulations.
- Reveals convex-concave structure in classical criteria.
- Proposes an iterative convex-concave procedure framework.

## Abstract

The long-term average performance of the MISO downlink channel, with a large number of users compared to transmit antennas of the BS, depends on the interference management which necessitates the joint design problem of scheduling and precoding. Unlike the previous works which do not offer a truly joint design, this paper focuses on formulating a problem amenable for the joint update of scheduling and precoding. Novel optimization formulations are investigated to reveal the hidden difference of convex/ concave structure for three classical criteria (weighted sum rate, max-min SINR, and power minimization) and associated constraints are considered. Thereafter, we propose a convex-concave procedure framework based iterative algorithm where scheduling and precoding variables are updated jointly in each iteration. Finally, we show the superiority in performance of joint solution over the state-of-the-art designs through Monte-Carlo simulations.