# Scheduling for VoLTE: Resource Allocation Optimization and Low-Complexity Algorithms

## TL;DR

This paper develops new scheduling algorithms for LTE networks that balance VoLTE quality requirements with data service fairness, achieving near-optimal throughput and low complexity.

## Contribution

It introduces novel resource allocation algorithms that optimize LTE scheduling for VoLTE and data users, including a low-complexity heuristic approach.

## Key findings

- TTI-level scheme approaches frame-level optimal performance
- Heuristic algorithm performs close to TTI-level optimization
- PF optimization maintains high fairness among users

## Abstract

We consider scheduling and resource allocation in long-term evolution (LTE) networks across voice over LTE (VoLTE) and best-effort data users. The difference between these two is that VoLTE users get scheduling priority to receive their required quality of service. As we show, strict priority causes data services to suffer. We propose new scheduling and resource allocation algorithms to maximize the sum- or proportional fair (PF) throughout amongst data users while meeting VoLTE demands. Essentially, we use VoLTE as an example application with both a guaranteed bit-rate and strict application-specific requirements. We first formulate and solve the frame-level optimization problem for throughput maximization; however, this leads to an integer problem coupled across the LTE transmission time intervals (TTIs). We then propose a TTI-level problem to decouple scheduling across TTIs. Finally, we propose a heuristic, with extremely low complexity. The formulations illustrate the detail required to realize resource allocation in an implemented standard. Numerical results show that the performance of the TTI-level scheme is very close to that of the frame-level upper bound. Similarly, the heuristic scheme works well compared to TTI-level optimization and a baseline scheduling algorithm. Finally, we show that our PF optimization retains the high fairness index characterizing PF-scheduling.