Association and Load Optimization with User Priorities in Load-Coupled Heterogeneous Networks

TL;DR

This paper presents a novel approach for optimizing user association, load distribution, and power control in load-coupled heterogeneous networks, effectively handling nonconvexity and prioritizing users to maximize network utility.

Contribution

It introduces a convex reformulation of the joint optimization problem and proposes an iterative low-complexity algorithm that outperforms conventional methods.

Findings

Proposed algorithm achieves higher network utility.

Effective handling of user priorities in load-coupled networks.

Convex reformulation simplifies complex nonconvex optimization.

Abstract

In this paper, we consider the network utility maximization problem with various user priorities via jointly optimizing user association, load distribution and power control in a load-coupled heterogeneous network. In order to tackle the nonconvexity of the problem, we first analyze the problem by obtaining the optimal resource allocation strategy in closed form and characterizing the optimal base station load distribution pattern. Both observations are shown essential in simplifying the original problem and making it possible to transform the nonconvex load distribution and power control problem into convex reformulation via exponential variable transformation. An iterative algorithm with low complexity is accordingly presented to obtain a suboptimal solution to the joint optimization problem. Simulation results show that the proposed algorithm achieves better performance than conventional approaches.