# QoS Aware Power Allocation and User Selection in Massive MIMO Underlay Cognitive Radio Networks

## TL;DR

This paper presents a new optimization framework and a low-complexity algorithm for power allocation and user selection in massive MIMO underlay cognitive radio networks, aiming to maximize secondary users served while protecting primary users.

## Contribution

It introduces the DMP algorithm for efficient user selection and power allocation, considering imperfect CSI and interference constraints, outperforming existing methods.

## Key findings

- DMP algorithm serves more users with minimum rate constraints.
- The approach approaches optimal performance with a large number of antennas.
- Theoretical analysis quantifies interference and user rate exceedance.

## Abstract

We address the problem of power allocation and secondary user (SU) selection in the downlink from a secondary base station (SBS) equipped with a large number of antennas in an underlay cognitive radio network. A new optimization framework is proposed in order to select the maximum number of SUs and compute power allocations in order to satisfy instantaneous rate or QoS requirements of SUs. The optimization framework also aims to restrict the interference to primary users (PUs) below a predefined threshold using available imperfect CSI at the SBS. In order to obtain a feasible solution for power allocation and user selection, we propose a low-complexity algorithm called DeleteSU-with-Maximum-Power-allocation (DMP). Theoretical analysis is provided to compute the interference to PUs and the number of SUs exceeding the required rate. The analysis and simulations show that the proposed DMP algorithm outperforms the stateof-the art selection algorithm in terms of serving more users with minimum rate constraints, and it approaches the optimal solution if the number of antennas is an order of magnitude greater than the number of users.