Abstract

Matching the demand for resources ("load") with the supply of resources\n("capacity") is a basic problem occurring across many fields of engineering,\nlogistics, and economics, and has been considered extensively both in the\nInternet and in wireless networks. The ongoing evolution of cellular\ncommunication networks into dense, organic, and irregular heterogeneous\nnetworks ("HetNets") has elevated load-awareness to a central problem, and\nintroduces many new subtleties. This paper explains how several long-standing\nassumptions about cellular networks need to be rethought in the context of a\nload-balanced HetNet: we highlight these as three deeply entrenched myths that\nwe then dispel. We survey and compare the primary technical approaches to\nHetNet load balancing: (centralized) optimization, game theory, Markov decision\nprocesses, and the newly popular cell range expansion (a.k.a. "biasing"), and\ndraw design lessons for OFDMA-based cellular systems. We also identify several\nopen areas for future exploration.\n

Affiliated Institutions

Related Publications

Publication Info

Year
2014
Type
article
Volume
21
Issue
2
Pages
18-25
Citations
406
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

406
OpenAlex
38
Influential
399
CrossRef

Cite This

Jeffrey G. Andrews, Sarabjot Singh, Qiaoyang Ye et al. (2014). An overview of load balancing in hetnets: old myths and open problems. IEEE Wireless Communications , 21 (2) , 18-25. https://doi.org/10.1109/mwc.2014.6812287

Identifiers

DOI
10.1109/mwc.2014.6812287
arXiv
1307.7779

Data Quality

Data completeness: 79%