Resource Optimization with Flexible Numerology and Frame Structure for Heterogeneous Services

TL;DR

This paper investigates resource optimization in wireless communications by leveraging flexible numerology and frame structures, demonstrating capacity improvements and service requirement fulfillment through a scalable optimization algorithm.

Contribution

It introduces a novel scalable optimization algorithm that jointly searches in primal and dual spaces for resource allocation with flexible numerology and frame structures.

Findings

Significant capacity enhancement observed with flexible resource allocation.

Improved meeting of mission-critical service requirements.

Effective computational complexity management in optimization.

Abstract

We explore the potential of optimizing resource allocation with flexible numerology in frequency domain and variable frame structure in time domain, in presence of services with different types of requirements. We analyze the computational complexity and propose a scalable optimization algorithm based on searching in both the primal space and dual space that are complementary to each other. Numerical results show significant advantages of adopting flexibility in both time and frequency domains for capacity enhancement and meeting the requirements of mission critical services.