Joint User Association and Interference Mitigation for D2D-Enabled Heterogeneous Cellular Networks

TL;DR

This paper proposes a joint user association and interference mitigation scheme for D2D-enabled heterogeneous cellular networks, improving load balancing and resource efficiency through a novel resource partitioning strategy and a distributed algorithm.

Contribution

It introduces a combined user association and D2D model selection approach with an interference mitigation strategy, solved via dual decomposition for efficient distributed implementation.

Findings

Enhanced load balancing and resource utilization.

Effective interference mitigation from high-power BSs.

Improved network utility through joint optimization.

Abstract

The heterogeneous cellular networks (HCNs) with device-to-device (D2D) communications have been a promising solution to cost-efficient delivery of high data rates. A key challenge in such D2D-enabled HCNs is how to design an effective association scheme with D2D model selection for load balancing. Moreover, the offloaded users and D2D receivers (RXs) would suffer strong interference from BSs, especially from high-power BSs. Evidently, a good association scheme should integrate with interference mitigation. Thus, we first propose an effective resource partitioning strategy that can mitigate the interference received by offloaded users from high-power BSs and the one received by D2D RXs from BSs. Based on this, we then design a user association scheme for load balancing, which jointly considers user association and D2D model selection to maximize network-wide utility. Considering that the formulated problem is in a nonlinear and mixted-integer form and hard to tackle, we adopt a dual decomposition method to develop an efficient distributed algorithm. Simulation results show that the proposed scheme provides a load balancing gain and a resource partitioning gain.