Resource Allocation Optimization for Users with Different Levels of Service in Multicarrier Systems

TL;DR

This paper presents a novel two-phase optimization method for resource allocation in multicarrier systems that efficiently supports users with different service levels, improving throughput and fairness.

Contribution

It introduces a near-optimal, computationally efficient two-phase approach for proportional data rate fairness in multiuser OFDM systems, addressing a complex nonlinear optimization problem.

Findings

Achieves high adherence to proportional data rate fairness.

Outperforms existing solutions in system throughput.

Provides a computationally efficient near-optimal solution.

Abstract

We optimize the throughput of a single cell multiuser orthogonal frequency division multiplexing system with proportional data rate fairness among the users. The concept is to support mobile users with different levels of service. The optimization problem is a mixed integer nonlinear programming problem, which is computationally very expensive. We propose a novel and efficient near-optimal solution adopting a two-phase optimization approach that separates the subcarrier and power allocation. In the first phase, we relax the strict proportional data rate requirements and employ an iterative subcarrier allocation approach that coarsely satisfies desired data rate proportionality constraints. In the second phase, we reallocate the power among the users in an iterative way to further enhance the adherence to the desired proportions by exploiting the normalized proportionality deviation measure. The simulation results show that the proposed solution exhibits very strong adherence to the desired proportional data rate fairness while achieving higher system throughput compared to the other existing solutions.