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.Comment: 26 pages; accepted to appear in IEEE Communications Surveys and
Tutorial
Based on the research of the intelligent wireless distributed information publishing system in the new community, using wireless ad-hoc network technology, intelligent control technology, intelligent display technology, and regional distributed interactive information technology to the real-time public information, community information, advertising information in the community, and release the system can run independently in the community, and it can share the information in the community and network.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.