Structured Spectrum Allocation and User Association in Heterogeneous Cellular Networks

TL;DR

This paper proposes a novel structured approach for joint spectrum allocation and user association in heterogeneous cellular networks, optimizing data rates with efficiency and providing equilibrium pricing schemes.

Contribution

It introduces a computationally efficient SSAUA method for optimal and near-optimal spectrum and user association, along with a surcharge pricing scheme for equilibrium.

Findings

SSAUA achieves optimal solutions at low user densities.

SSAUA provides near-optimal solutions with performance guarantees at high densities.

Simulations validate the approach's accuracy and efficiency.

Abstract

We study joint spectrum allocation and user association in heterogeneous cellular networks with multiple tiers of base stations. A stochastic geometric approach is applied as the basis to derive the average downlink user data rate in a closed-form expression. Then, the expression is employed as the objective function in jointly optimizing spectrum allocation and user association, which is of non-convex programming in nature. A computationally efficient Structured Spectrum Allocation and User Association (SSAUA) approach is proposed, solving the optimization problem optimally when the density of users is low, and near-optimally with a guaranteed performance bound when the density of users is high. A Surcharge Pricing Scheme (SPS) is also presented, such that the designed association bias values can be achieved in Nash equilibrium. Simulations and numerical studies are conducted to validate the accuracy and efficiency of the proposed SSAUA approach and SPS.