User Association in 5G Networks: A Survey and an Outlook

TL;DR

This survey comprehensively reviews user association mechanisms in 5G networks, highlighting recent algorithms, challenges, and future directions across various advanced network technologies.

Contribution

It introduces a taxonomy for systematically analyzing user association algorithms and provides an extensive overview of state-of-the-art solutions in 5G networks.

Findings

Taxonomy framework for user association algorithms

Extensive overview of HetNets, MIMO, mmWave, and energy harvesting networks

Identification of challenges and opportunities in 5G user association

Abstract

The fifth generation (5G) mobile networks are envisioned to support the deluge of data traffic with reduced energy consumption and improved quality of service (QoS) provision. To this end, the key enabling technologies, such as heterogeneous networks (HetNets), massive multiple-input multiple-output (MIMO) and millimeter wave (mmWave) techniques, are identified to bring 5G to fruition. Regardless of the technology adopted, a user association mechanism is needed to determine whether a user is associated with a particular base station (BS) before the data transmission commences. User association plays a pivotal role in enhancing the load balancing, the spectrum efficiency and the energy efficiency of networks. The emerging 5G networks introduce numerous challenges and opportunities for the design of sophisticated user association mechanisms. Hence, substantial research efforts are dedicated to the issues of user association in HetNets, massive MIMO networks, mmWave networks and energy harvesting networks. We introduce a taxonomy as a framework for systematically studying the existing user association algorithms. Based on the proposed taxonomy, we then proceed to present an extensive overview of the state-of-the-art in user association conceived for HetNets, massive MIMO, mmWave and energy harvesting networks. Finally, we summarize the challenges as well as opportunities of user association in 5G and provide design guidelines and potential solutions for sophisticated user association mechanisms.